From bf4c74640134d7a434bd09dbe6c686b72aa20586 Mon Sep 17 00:00:00 2001 From: Julia Kamelina Date: Tue, 22 Feb 2022 02:06:04 +0300 Subject: [PATCH] Update documentation (#3156) * update documentation * Apply suggestions from code review Co-authored-by: Anastasiya Ageeva * add info about omz_data_downloader * update omz-tools installation * update Inference Engine to OpenVINO * update build instructions * add information about model stages to docs * Apply suggestions from code review Co-authored-by: Andrey Zaytsev * remove trailing whitespaces * update installation section of model tools * update docs Co-authored-by: Anastasiya Ageeva Co-authored-by: Andrey Zaytsev --- CONTRIBUTING.md | 4 +- README.md | 2 +- demos/3d_segmentation_demo/python/README.md | 2 +- demos/README.md | 55 ++++++---- .../action_recognition_demo/python/README.md | 2 +- .../cpp_gapi/README.md | 2 +- .../python/README.md | 2 +- .../python/README.md | 2 +- .../python/README.md | 2 +- .../python/README.md | 2 +- .../cpp/README.md | 2 +- demos/classification_demo/python/README.md | 2 +- demos/colorization_demo/python/README.md | 2 +- demos/crossroad_camera_demo/cpp/README.md | 2 +- demos/deblurring_demo/python/README.md | 2 +- .../cpp_gapi/README.md | 2 +- .../python/README.md | 2 +- demos/face_recognition_demo/python/README.md | 2 +- .../formula_recognition_demo/python/README.md | 2 +- demos/gaze_estimation_demo/cpp/README.md | 2 +- demos/gaze_estimation_demo/cpp_gapi/README.md | 2 +- .../cpp_gapi/README.md | 2 +- .../gesture_recognition_demo/python/README.md | 2 +- .../python/README.md | 2 +- .../python/README.md | 2 +- .../python/README.md | 2 +- .../human_pose_estimation_demo/cpp/README.md | 2 +- .../python/README.md | 2 +- demos/image_inpainting_demo/python/README.md | 2 +- demos/image_processing_demo/cpp/README.md | 2 +- demos/image_retrieval_demo/python/README.md | 2 +- demos/image_translation_demo/python/README.md | 2 +- .../python/README.md | 2 +- .../cpp/README.md | 2 +- .../cpp_gapi/README.md | 2 +- .../machine_translation_demo/python/README.md | 2 +- demos/mask_rcnn_demo/cpp/README.md | 2 +- demos/monodepth_demo/python/README.md | 2 +- .../python/README.md | 2 +- .../cpp/README.md | 2 +- .../cpp/README.md | 2 +- .../cpp/README.md | 2 +- demos/noise_suppression_demo/cpp/README.md | 2 +- demos/noise_suppression_demo/python/README.md | 2 +- demos/object_detection_demo/cpp/README.md | 2 +- demos/object_detection_demo/python/README.md | 2 +- demos/pedestrian_tracker_demo/cpp/README.md | 2 +- demos/place_recognition_demo/python/README.md | 2 +- .../cpp/README.md | 2 +- demos/segmentation_demo/cpp/README.md | 2 +- demos/segmentation_demo/python/README.md | 2 +- .../python/README.md | 2 +- demos/smart_classroom_demo/cpp/README.md | 2 +- demos/smart_classroom_demo/cpp_gapi/README.md | 2 +- demos/social_distance_demo/cpp/README.md | 2 +- .../python/README.md | 2 +- .../python/README.md | 2 +- .../python/README.md | 2 +- .../python/README.md | 2 +- demos/text_detection_demo/cpp/README.md | 2 +- demos/text_spotting_demo/python/README.md | 2 +- demos/text_to_speech_demo/python/README.md | 2 +- .../python/README.md | 2 +- .../python/README.md | 2 +- models/intel/index.md | 4 +- models/public/Sphereface/README.md | 4 +- models/public/aclnet-int8/README.md | 4 +- models/public/aclnet/README.md | 4 +- models/public/alexnet/README.md | 4 +- models/public/anti-spoof-mn3/README.md | 4 +- models/public/bert-base-ner/README.md | 4 +- .../brain-tumor-segmentation-0001/README.md | 4 +- .../brain-tumor-segmentation-0002/README.md | 4 +- models/public/caffenet/README.md | 4 +- models/public/cocosnet/README.md | 4 +- models/public/colorization-siggraph/README.md | 4 +- models/public/colorization-v2/README.md | 4 +- .../common-sign-language-0001/README.md | 4 +- models/public/ctdet_coco_dlav0_512/README.md | 4 +- models/public/ctpn/README.md | 4 +- models/public/deblurgan-v2/README.md | 4 +- models/public/deeplabv3/README.md | 4 +- models/public/densenet-121-tf/README.md | 4 +- models/public/densenet-121/README.md | 4 +- models/public/detr-resnet50/README.md | 4 +- models/public/dla-34/README.md | 4 +- models/public/drn-d-38/README.md | 4 +- models/public/efficientdet-d0-tf/README.md | 4 +- models/public/efficientdet-d1-tf/README.md | 4 +- .../public/efficientnet-b0-pytorch/README.md | 4 +- models/public/efficientnet-b0/README.md | 4 +- models/public/efficientnet-v2-b0/README.md | 4 +- models/public/efficientnet-v2-s/README.md | 4 +- models/public/f3net/README.md | 4 +- .../face-detection-retail-0044/README.md | 4 +- .../README.md | 4 +- models/public/faceboxes-pytorch/README.md | 4 +- .../public/facenet-20180408-102900/README.md | 4 +- .../fast-neural-style-mosaic-onnx/README.md | 4 +- .../README.md | 4 +- .../faster_rcnn_resnet50_coco/README.md | 4 +- models/public/fastseg-large/README.md | 4 +- models/public/fastseg-small/README.md | 4 +- models/public/fbcnn/README.md | 4 +- .../public/fcrn-dp-nyu-depth-v2-tf/README.md | 4 +- models/public/forward-tacotron/README.md | 4 +- models/public/gmcnn-places2-tf/README.md | 4 +- models/public/googlenet-v1-tf/README.md | 4 +- models/public/googlenet-v1/README.md | 4 +- models/public/googlenet-v2-tf/README.md | 4 +- models/public/googlenet-v2/README.md | 4 +- models/public/googlenet-v3-pytorch/README.md | 4 +- models/public/googlenet-v3/README.md | 4 +- models/public/googlenet-v4-tf/README.md | 4 +- models/public/gpt-2/README.md | 4 +- models/public/hbonet-0.25/README.md | 4 +- models/public/hbonet-1.0/README.md | 4 +- .../README.md | 4 +- .../public/hrnet-v2-c1-segmentation/README.md | 4 +- .../human-pose-estimation-3d-0001/README.md | 4 +- models/public/hybrid-cs-model-mri/README.md | 4 +- models/public/i3d-rgb-tf/README.md | 4 +- .../public/inception-resnet-v2-tf/README.md | 4 +- models/public/index.md | 6 +- .../README.md | 4 +- .../README.md | 4 +- .../mask_rcnn_resnet50_atrous_coco/README.md | 4 +- models/public/midasnet/README.md | 4 +- models/public/mixnet-l/README.md | 4 +- .../public/mobilefacedet-v1-mxnet/README.md | 4 +- models/public/mobilenet-ssd/README.md | 4 +- models/public/mobilenet-v1-0.25-128/README.md | 4 +- .../public/mobilenet-v1-1.0-224-tf/README.md | 4 +- models/public/mobilenet-v1-1.0-224/README.md | 4 +- models/public/mobilenet-v2-1.0-224/README.md | 4 +- models/public/mobilenet-v2-1.4-224/README.md | 4 +- models/public/mobilenet-v2-pytorch/README.md | 4 +- models/public/mobilenet-v2/README.md | 4 +- .../mobilenet-v3-large-1.0-224-tf/README.md | 4 +- .../mobilenet-v3-small-1.0-224-tf/README.md | 4 +- models/public/mobilenet-yolo-v4-syg/README.md | 4 +- .../public/mozilla-deepspeech-0.6.1/README.md | 4 +- .../public/mozilla-deepspeech-0.8.2/README.md | 4 +- models/public/mtcnn/README.md | 4 +- models/public/netvlad-tf/README.md | 4 +- models/public/nfnet-f0/README.md | 4 +- .../public/ocrnet-hrnet-w48-paddle/README.md | 4 +- models/public/octave-resnet-26-0.25/README.md | 4 +- models/public/open-closed-eye-0001/README.md | 4 +- models/public/pelee-coco/README.md | 4 +- models/public/pspnet-pytorch/README.md | 4 +- models/public/quartznet-15x5-en/README.md | 4 +- models/public/regnetx-3.2gf/README.md | 4 +- models/public/repvgg-a0/README.md | 4 +- models/public/repvgg-b1/README.md | 4 +- models/public/repvgg-b3/README.md | 4 +- models/public/resnest-50-pytorch/README.md | 4 +- models/public/resnet-18-pytorch/README.md | 4 +- models/public/resnet-34-pytorch/README.md | 4 +- models/public/resnet-50-pytorch/README.md | 4 +- models/public/resnet-50-tf/README.md | 4 +- .../retinaface-resnet50-pytorch/README.md | 4 +- models/public/retinanet-tf/README.md | 4 +- models/public/rexnet-v1-x1.0/README.md | 4 +- .../public/rfcn-resnet101-coco-tf/README.md | 4 +- models/public/se-inception/README.md | 4 +- models/public/se-resnet-50/README.md | 4 +- models/public/se-resnext-50/README.md | 4 +- models/public/shufflenet-v2-x0.5/README.md | 4 +- models/public/shufflenet-v2-x1.0/README.md | 4 +- .../README.md | 4 +- models/public/squeezenet1.0/README.md | 4 +- models/public/squeezenet1.1/README.md | 4 +- .../public/ssd-resnet34-1200-onnx/README.md | 4 +- models/public/ssd300/README.md | 4 +- models/public/ssd512/README.md | 4 +- models/public/ssd_mobilenet_v1_coco/README.md | 4 +- .../ssd_mobilenet_v1_fpn_coco/README.md | 4 +- models/public/ssdlite_mobilenet_v2/README.md | 4 +- .../swin-tiny-patch4-window7-224/README.md | 4 +- models/public/t2t-vit-14/README.md | 4 +- .../README.md | 4 +- .../README.md | 4 +- .../README.md | 4 +- models/public/vehicle-reid-0001/README.md | 4 +- models/public/vgg16/README.md | 4 +- models/public/vgg19/README.md | 4 +- .../public/vitstr-small-patch16-224/README.md | 4 +- models/public/wav2vec2-base/README.md | 4 +- models/public/wavernn/README.md | 4 +- .../yolact-resnet50-fpn-pytorch/README.md | 4 +- models/public/yolo-v1-tiny-tf/README.md | 4 +- models/public/yolo-v2-tf/README.md | 4 +- models/public/yolo-v2-tiny-tf/README.md | 4 +- models/public/yolo-v3-onnx/README.md | 4 +- models/public/yolo-v3-tf/README.md | 4 +- models/public/yolo-v3-tiny-onnx/README.md | 4 +- models/public/yolo-v3-tiny-tf/README.md | 4 +- models/public/yolo-v4-tf/README.md | 4 +- models/public/yolo-v4-tiny-tf/README.md | 4 +- models/public/yolof/README.md | 4 +- models/public/yolox-tiny/README.md | 4 +- tools/accuracy_checker/README.md | 100 +++++++++--------- tools/model_tools/README.md | 35 +++--- 204 files changed, 449 insertions(+), 423 deletions(-) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 1c147dd29c3..2b79fabaf0d 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -177,9 +177,9 @@ license: https://raw.githubusercontent.com/pudae/tensorflow-densenet/master/LICE ## Model Conversion -Deep Learning Inference Engine (IE) supports models in the Intermediate Representation (IR) format. A model from any supported framework can be converted to IR using the Model Optimizer tool included in the OpenVINO™ toolkit. Find more information about conversion in the [Model Optimizer Developer Guide](https://docs.openvino.ai/latest/_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide.html). After a successful conversion you get a model in the IR format, with the `*.xml` file representing the net graph and the `*.bin` file containing the net parameters. +OpenVINO™ Runtime supports models in the Intermediate Representation (IR) format. A model from any supported framework can be converted to IR using the Model Optimizer tool included in the OpenVINO™ toolkit. Find more information about conversion in the [Model Optimizer Developer Guide](@ref openvino_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide). After a successful conversion, you get a model in the IR format, with the `*.xml` file representing the net graph and the `*.bin` file containing the net parameters. -> **NOTE 1**: Image preprocessing parameters (mean and scale) must be built into a converted model to simplify model usage. +> **NOTE**: Image preprocessing parameters (mean and scale) must be built into a converted model to simplify model usage. > **NOTE 2**: If a model input is a color image, color channel order should be `BGR`. diff --git a/README.md b/README.md index 77637aa4b5e..cc0ef8f4c4f 100644 --- a/README.md +++ b/README.md @@ -11,7 +11,7 @@ Intel is committed to the respect of human rights and avoiding complicity in hum * [Intel Pre-Trained Models](models/intel/index.md) * [Public Pre-Trained Models](models/public/index.md) * [Model Downloader](tools/model_tools/README.md) and other automation tools -* [Demos](demos/README.md) that demonstrate models usage with Deep Learning Deployment Toolkit +* [Demos](demos/README.md) that demonstrate models usage with OpenVINO™ Toolkit * [Accuracy Checker](tools/accuracy_checker/README.md) tool for models accuracy validation ## License diff --git a/demos/3d_segmentation_demo/python/README.md b/demos/3d_segmentation_demo/python/README.md index 1abd0285c06..214da07d364 100644 --- a/demos/3d_segmentation_demo/python/README.md +++ b/demos/3d_segmentation_demo/python/README.md @@ -18,7 +18,7 @@ python3 -mpip install --user -r /demos/3d_segmentation_demo/python/requ For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/3d_segmentation_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/README.md b/demos/README.md index 7da1f833ea7..634b9f01f92 100644 --- a/demos/README.md +++ b/demos/README.md @@ -2,8 +2,14 @@ The Open Model Zoo demo applications are console applications that provide robust application templates to help you implement specific deep learning scenarios. These applications involve increasingly complex processing pipelines that gather analysis data from several models that run inference simultaneously, such as detecting a person in a video stream along with detecting the person's physical attributes, such as age, gender, and emotional state -For the Intel® Distribution of OpenVINO™ toolkit, the demos are available after installation in the following directory: `/deployment_tools/open_model_zoo/demos`. -The demos can also be obtained from the Open Model Zoo [GitHub repository](https://github.com/openvinotoolkit/open_model_zoo/). +Source code of the demos can be obtained from the Open Model Zoo [GitHub repository](https://github.com/openvinotoolkit/open_model_zoo/). + +```sh +git clone https://github.com/openvinotoolkit/open_model_zoo.git +cd open_model_zoo +git submodule update --init --recursive +``` + C++, C++ G-API and Python\* versions are located in the `cpp`, `cpp_gapi` and `python` subdirectories respectively. The Open Model Zoo includes the following demos: @@ -78,22 +84,33 @@ To run the demo applications, you can use images and videos from the media files ## Demos that Support Pre-Trained Models -> **NOTE:** Inference Engine HDDL plugin is available in [proprietary](https://software.intel.com/en-us/openvino-toolkit) distribution only. +> **NOTE:** OpenVINO™ Runtime HDDL plugin is available in [proprietary](https://software.intel.com/en-us/openvino-toolkit) distribution only. You can download the [Intel pre-trained models](../models/intel/index.md) or [public pre-trained models](../models/public/index.md) using the OpenVINO [Model Downloader](../tools/model_tools/README.md). ## Build the Demo Applications -To be able to build demos you need to source Inference Engine and OpenCV environment from a binary package which is available as [proprietary](https://software.intel.com/en-us/openvino-toolkit) distribution. -Please run the following command before the demos build (assuming that the binary package was installed to ``): +To build the demos, you need to source OpenVINO™ and OpenCV environment. You can install the OpenVINO™ toolkit using the installation package for [Intel® Distribution of OpenVINO™ toolkit](https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit-download.html) or build the open-source version available in the [OpenVINO GitHub repository](https://github.com/openvinotoolkit/openvino) using the [build instructions](https://github.com/openvinotoolkit/openvino/wiki/BuildingCode). +For the Intel® Distribution of OpenVINO™ toolkit installed to the `` directory on your machine, run the following commands to download OpenCV and set environment variables before building the demos: ```sh -source /deployment_tools/bin/setupvars.sh +/extras/scripts/download_opencv.sh +source /setupvars.sh ``` -You can also build demos manually using Inference Engine built from the [openvino](https://github.com/openvinotoolkit/openvino) repo. In this case please set `InferenceEngine_DIR` environment variable to a folder containing `InferenceEngineConfig.cmake` and `ngraph_DIR` to a folder containing `ngraphConfig.cmake` in a build folder. Please also set the `OpenCV_DIR` to point to the OpenCV package to use. The same OpenCV version should be used both for Inference Engine and demos build. Alternatively these values can be provided via command line while running `cmake`. See [CMake's search procedure](https://cmake.org/cmake/help/latest/command/find_package.html#search-procedure). -Please refer to the Inference Engine [build instructions](https://github.com/openvinotoolkit/openvino/wiki/BuildingCode) -for details. Please also add path to built Inference Engine libraries to `LD_LIBRARY_PATH` (Linux*) or `PATH` (Windows*) variable before building the demos. +> **NOTE:** If you plan to use Python\* demos only, you can install the OpenVINO Python\* package. +> ```sh +> pip install openvino +> ``` + +For the open-source version of OpenVINO, set the following variables: +* `InferenceEngine_DIR` pointing to a folder containing `InferenceEngineConfig.cmake` +* `OpenVINO_DIR` pointing to a folder containing `OpenVINOConfig.cmake` +* `ngraph_DIR` pointing to a folder containing `ngraphConfig.cmake`. +* `OpenCV_DIR` pointing to OpenCV. The same OpenCV version should be used both for OpenVINO and demos build. + +Alternatively, these values can be provided via command line while running `cmake`. See [CMake search procedure](https://cmake.org/cmake/help/latest/command/find_package.html#search-procedure). +Also add paths to the built OpenVINO™ Runtime libraries to the `LD_LIBRARY_PATH` (Linux) or `PATH` (Windows) variable before building the demos. ### Build the Demo Applications on Linux* @@ -270,15 +287,15 @@ build_demos_msvc.bat --target="classification_demo segmentation_demo" ### Get Ready for Running the Demo Applications on Linux* -Before running compiled binary files, make sure your application can find the Inference Engine and OpenCV libraries. +Before running compiled binary files, make sure your application can find the OpenVINO™ and OpenCV libraries. If you use a [proprietary](https://software.intel.com/en-us/openvino-toolkit) distribution to build demos, run the `setupvars` script to set all necessary environment variables: ```sh -source /bin/setupvars.sh +source /setupvars.sh ``` -If you use your own Inference Engine and OpenCV binaries to build the demos please make sure you have added them +If you use your own OpenVINO™ and OpenCV binaries to build the demos please make sure you have added them to the `LD_LIBRARY_PATH` environment variable. **(Optional)**: The OpenVINO environment variables are removed when you close the @@ -293,7 +310,7 @@ vi /.bashrc 2. Add this line to the end of the file: ```sh -source /bin/setupvars.sh +source /setupvars.sh ``` 3. Save and close the file: press the **Esc** key, type `:wq` and press the **Enter** key. @@ -313,16 +330,16 @@ list above. ### Get Ready for Running the Demo Applications on Windows* -Before running compiled binary files, make sure your application can find the Inference Engine and OpenCV libraries. -Optionally download OpenCV community FFmpeg plugin. There is a downloader script in the OpenVINO package: `\opencv\ffmpeg-download.ps1`. -If you use a [proprietary](https://software.intel.com/en-us/openvino-toolkit) distribution to build demos, +Before running compiled binary files, make sure your application can find the OpenVINO™ and OpenCV libraries. +Optionally, download the OpenCV community FFmpeg plugin using the downloader script in the OpenVINO package: `\extras\opencv\ffmpeg-download.ps1`. +If you use the [Intel® Distribution of OpenVINO™ toolkit](https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html) distribution to build demos, run the `setupvars` script to set all necessary environment variables: ```bat -\bin\setupvars.bat +\setupvars.bat ``` -If you use your own Inference Engine and OpenCV binaries to build the demos please make sure you have added +If you use your own OpenVINO™ and OpenCV binaries to build the demos please make sure you have added to the `PATH` environment variable. To run Python demo applications that require native Python extension modules, you must additionally @@ -336,7 +353,7 @@ set PYTHONPATH=%PYTHONPATH%; To debug or run the demos on Windows in Microsoft Visual Studio, make sure you have properly configured **Debugging** environment settings for the **Debug** and **Release** configurations. Set correct paths to the OpenCV libraries, and -debug and release versions of the Inference Engine libraries. +debug and release versions of the OpenVINO™ libraries. For example, for the **Debug** configuration, go to the project's **Configuration Properties** to the **Debugging** category and set the `PATH` variable in the **Environment** field to the following: diff --git a/demos/action_recognition_demo/python/README.md b/demos/action_recognition_demo/python/README.md index b3e5e815635..15915afd924 100644 --- a/demos/action_recognition_demo/python/README.md +++ b/demos/action_recognition_demo/python/README.md @@ -38,7 +38,7 @@ You can change the value of `num_requests` in `action_recognition_demo.py` to fi For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/action_recognition_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/background_subtraction_demo/cpp_gapi/README.md b/demos/background_subtraction_demo/cpp_gapi/README.md index 6d93337219d..9f7ec5737cf 100644 --- a/demos/background_subtraction_demo/cpp_gapi/README.md +++ b/demos/background_subtraction_demo/cpp_gapi/README.md @@ -34,7 +34,7 @@ The demo workflow is the following: For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/background_subtraction_demo/cpp_gapi/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/background_subtraction_demo/python/README.md b/demos/background_subtraction_demo/python/README.md index 9af6c34be70..c08b1dda4d9 100644 --- a/demos/background_subtraction_demo/python/README.md +++ b/demos/background_subtraction_demo/python/README.md @@ -59,7 +59,7 @@ The demo workflow is the following: For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/instance_segmentation_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/bert_named_entity_recognition_demo/python/README.md b/demos/bert_named_entity_recognition_demo/python/README.md index e69c6681c19..5a862110e79 100644 --- a/demos/bert_named_entity_recognition_demo/python/README.md +++ b/demos/bert_named_entity_recognition_demo/python/README.md @@ -11,7 +11,7 @@ The text is then used to search named entities. ## Preparing to Run The list of models supported by the demo is in `/demos/bert_named_entity_recognition_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/bert_question_answering_demo/python/README.md b/demos/bert_question_answering_demo/python/README.md index f5f5cd08590..762a0a920c6 100644 --- a/demos/bert_question_answering_demo/python/README.md +++ b/demos/bert_question_answering_demo/python/README.md @@ -11,7 +11,7 @@ The text is then used to search answers for user-provided questions. ## Preparing to Run The list of models supported by the demo is in `/demos/bert_question_answering_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/bert_question_answering_embedding_demo/python/README.md b/demos/bert_question_answering_embedding_demo/python/README.md index e136a1819f9..25b04825015 100644 --- a/demos/bert_question_answering_embedding_demo/python/README.md +++ b/demos/bert_question_answering_embedding_demo/python/README.md @@ -20,7 +20,7 @@ If second (conventional SQuAD-tuned) Bert model is provided as well, it is used ## Preparing to Run The list of models supported by the demo is in `/demos/bert_question_answering_embedding_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/classification_benchmark_demo/cpp/README.md b/demos/classification_benchmark_demo/cpp/README.md index 1dbb024b2d0..a9880c61d96 100644 --- a/demos/classification_benchmark_demo/cpp/README.md +++ b/demos/classification_benchmark_demo/cpp/README.md @@ -19,7 +19,7 @@ You can stop the demo by pressing "Esc" or "Q" button. After that, the average m ## Preparing to Run The list of models supported by the demo is in `/demos/classification_benchmark_demo/cpp/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/classification_demo/python/README.md b/demos/classification_demo/python/README.md index c3ada479094..a234fb18abb 100644 --- a/demos/classification_demo/python/README.md +++ b/demos/classification_demo/python/README.md @@ -15,7 +15,7 @@ You can stop the demo by pressing "Esc" or "Q" button. After that, the average m ## Preparing to Run The list of models supported by the demo is in `/demos/classification_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/colorization_demo/python/README.md b/demos/colorization_demo/python/README.md index 3915e374903..0c75d95ccf4 100644 --- a/demos/colorization_demo/python/README.md +++ b/demos/colorization_demo/python/README.md @@ -14,7 +14,7 @@ On startup, the application reads command-line parameters and loads one network For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/colorization_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/crossroad_camera_demo/cpp/README.md b/demos/crossroad_camera_demo/cpp/README.md index b80fdfbed50..1b370bb56a2 100644 --- a/demos/crossroad_camera_demo/cpp/README.md +++ b/demos/crossroad_camera_demo/cpp/README.md @@ -39,7 +39,7 @@ REID value is assigned. Otherwise, the vector is added to a global list, and new For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/crossroad_camera_demo/cpp/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/deblurring_demo/python/README.md b/demos/deblurring_demo/python/README.md index b5df0d4a68b..0d724e41775 100644 --- a/demos/deblurring_demo/python/README.md +++ b/demos/deblurring_demo/python/README.md @@ -21,7 +21,7 @@ For each image demo performs the following steps: For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/deblurring_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/face_detection_mtcnn_demo/cpp_gapi/README.md b/demos/face_detection_mtcnn_demo/cpp_gapi/README.md index 1ca49155707..cab453fc0a9 100644 --- a/demos/face_detection_mtcnn_demo/cpp_gapi/README.md +++ b/demos/face_detection_mtcnn_demo/cpp_gapi/README.md @@ -15,7 +15,7 @@ Upon getting a frame from the OpenCV VideoCapture, the application performs infe For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/face_detection_mtcnn_demo/cpp_gapi/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/face_detection_mtcnn_demo/python/README.md b/demos/face_detection_mtcnn_demo/python/README.md index 3d693edeaca..8f4cdef169d 100644 --- a/demos/face_detection_mtcnn_demo/python/README.md +++ b/demos/face_detection_mtcnn_demo/python/README.md @@ -15,7 +15,7 @@ Upon getting a frame from the OpenCV VideoCapture, the application performs infe For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/face_detection_mtcnn_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/face_recognition_demo/python/README.md b/demos/face_recognition_demo/python/README.md index 01af058383f..4f3f4fb9d4d 100644 --- a/demos/face_recognition_demo/python/README.md +++ b/demos/face_recognition_demo/python/README.md @@ -47,7 +47,7 @@ pip install -r requirements.txt For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/face_recognition_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/formula_recognition_demo/python/README.md b/demos/formula_recognition_demo/python/README.md index b93b67275ec..26d2d1bf49f 100644 --- a/demos/formula_recognition_demo/python/README.md +++ b/demos/formula_recognition_demo/python/README.md @@ -113,7 +113,7 @@ The demo has two preprocessing types: Crop and Pad to target shape and Resize an ## Preparing to Run -The list of models supported by the demo is in `/demos/formula_recognition_demo/python/models.lst` file. This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +The list of models supported by the demo is in `/demos/formula_recognition_demo/python/models.lst` file. This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/gaze_estimation_demo/cpp/README.md b/demos/gaze_estimation_demo/cpp/README.md index d654c0c036b..6b02794ee30 100644 --- a/demos/gaze_estimation_demo/cpp/README.md +++ b/demos/gaze_estimation_demo/cpp/README.md @@ -30,7 +30,7 @@ Other demo objectives are: For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/gaze_estimation_demo/cpp/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/gaze_estimation_demo/cpp_gapi/README.md b/demos/gaze_estimation_demo/cpp_gapi/README.md index d14ac051c4f..68e423cad2d 100644 --- a/demos/gaze_estimation_demo/cpp_gapi/README.md +++ b/demos/gaze_estimation_demo/cpp_gapi/README.md @@ -32,7 +32,7 @@ Other demo objectives are: For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/gaze_estimation_demo/cpp_gapi/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). ### Supported Models diff --git a/demos/gesture_recognition_demo/cpp_gapi/README.md b/demos/gesture_recognition_demo/cpp_gapi/README.md index 1fe71aab6c2..1ddefe4c7a3 100644 --- a/demos/gesture_recognition_demo/cpp_gapi/README.md +++ b/demos/gesture_recognition_demo/cpp_gapi/README.md @@ -33,7 +33,7 @@ The gallery of sample videos and list of paths to gesture videos must be created For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/gesture_recognition_demo/cpp_gapi/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/gesture_recognition_demo/python/README.md b/demos/gesture_recognition_demo/python/README.md index e7b01b71c80..9de7b465552 100644 --- a/demos/gesture_recognition_demo/python/README.md +++ b/demos/gesture_recognition_demo/python/README.md @@ -28,7 +28,7 @@ The demo workflow is the following: For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/gesture_recognition_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/gpt2_text_prediction_demo/python/README.md b/demos/gpt2_text_prediction_demo/python/README.md index a162daebd86..60ca92a06e4 100644 --- a/demos/gpt2_text_prediction_demo/python/README.md +++ b/demos/gpt2_text_prediction_demo/python/README.md @@ -10,7 +10,7 @@ It also encodes a user input prompt received via command line arguments or user ## Preparing to Run The list of models supported by the demo is in `/demos/gpt2_text_prediction_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/handwritten_text_recognition_demo/python/README.md b/demos/handwritten_text_recognition_demo/python/README.md index 7cb9a47742f..4f5fa2bfca4 100644 --- a/demos/handwritten_text_recognition_demo/python/README.md +++ b/demos/handwritten_text_recognition_demo/python/README.md @@ -10,7 +10,7 @@ The demo first reads an image and performs the preprocessing such as resize and ## Preparing to Run The list of models supported by the demo is in `/demos/handwritten_text_recognition_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/human_pose_estimation_3d_demo/python/README.md b/demos/human_pose_estimation_3d_demo/python/README.md index 099341eb09d..6e6c87cf446 100644 --- a/demos/human_pose_estimation_3d_demo/python/README.md +++ b/demos/human_pose_estimation_3d_demo/python/README.md @@ -27,7 +27,7 @@ The demo workflow is the following: For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/human_pose_estimation_3d_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/human_pose_estimation_demo/cpp/README.md b/demos/human_pose_estimation_demo/cpp/README.md index bde337cd87d..3f8a3e03b27 100644 --- a/demos/human_pose_estimation_demo/cpp/README.md +++ b/demos/human_pose_estimation_demo/cpp/README.md @@ -19,7 +19,7 @@ On startup, the application reads command line parameters and loads human pose e For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/human_pose_estimation_demo/cpp/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/human_pose_estimation_demo/python/README.md b/demos/human_pose_estimation_demo/python/README.md index 45b9d19edda..94e365291c1 100644 --- a/demos/human_pose_estimation_demo/python/README.md +++ b/demos/human_pose_estimation_demo/python/README.md @@ -15,7 +15,7 @@ Engine. Upon getting a frame from the OpenCV VideoCapture, it performs inference For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/human_pose_estimation_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/image_inpainting_demo/python/README.md b/demos/image_inpainting_demo/python/README.md index dbfffe45457..451bf587ab8 100644 --- a/demos/image_inpainting_demo/python/README.md +++ b/demos/image_inpainting_demo/python/README.md @@ -15,7 +15,7 @@ This demo can work in 2 modes: For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/image_inpainting_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/image_processing_demo/cpp/README.md b/demos/image_processing_demo/cpp/README.md index 1fc7e8e36df..114c93b37eb 100644 --- a/demos/image_processing_demo/cpp/README.md +++ b/demos/image_processing_demo/cpp/README.md @@ -66,7 +66,7 @@ The demo runs inference and shows results for each image captured from an input. For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/segmentation_demo/cpp/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). ### Supported Models diff --git a/demos/image_retrieval_demo/python/README.md b/demos/image_retrieval_demo/python/README.md index 5b62c17e066..7d48a3d58e3 100644 --- a/demos/image_retrieval_demo/python/README.md +++ b/demos/image_retrieval_demo/python/README.md @@ -38,7 +38,7 @@ python3 -mpip install --user -r /demos/requirements.txt ``` The list of models supported by the demo is in `/demos/image_retrieval_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/image_translation_demo/python/README.md b/demos/image_translation_demo/python/README.md index 9b6ccd5434b..6491069c045 100644 --- a/demos/image_translation_demo/python/README.md +++ b/demos/image_translation_demo/python/README.md @@ -15,7 +15,7 @@ On startup the demo application reads command line parameters and loads a networ For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/image_translation_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/instance_segmentation_demo/python/README.md b/demos/instance_segmentation_demo/python/README.md index 1c4a276c1f0..4bd95ea9bb9 100644 --- a/demos/instance_segmentation_demo/python/README.md +++ b/demos/instance_segmentation_demo/python/README.md @@ -41,7 +41,7 @@ The demo workflow is the following: For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/instance_segmentation_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/interactive_face_detection_demo/cpp/README.md b/demos/interactive_face_detection_demo/cpp/README.md index defcf9712c3..24545881fbf 100644 --- a/demos/interactive_face_detection_demo/cpp/README.md +++ b/demos/interactive_face_detection_demo/cpp/README.md @@ -39,7 +39,7 @@ The Async API operates with a notion of the Infer Request that encapsulates the For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/interactive_face_detection_demo/cpp/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/interactive_face_detection_demo/cpp_gapi/README.md b/demos/interactive_face_detection_demo/cpp_gapi/README.md index 6f70bd5ea08..3eeb259d23b 100644 --- a/demos/interactive_face_detection_demo/cpp_gapi/README.md +++ b/demos/interactive_face_detection_demo/cpp_gapi/README.md @@ -37,7 +37,7 @@ Engine. For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/interactive_face_detection_demo/cpp_gapi/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/machine_translation_demo/python/README.md b/demos/machine_translation_demo/python/README.md index bcdc2061d69..7aa403a5057 100644 --- a/demos/machine_translation_demo/python/README.md +++ b/demos/machine_translation_demo/python/README.md @@ -11,7 +11,7 @@ The program provides an interactive CLI interface that gets a sentence in the so ## Preparing to Run The list of models supported by the demo is in `/demos/machine_translation_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/mask_rcnn_demo/cpp/README.md b/demos/mask_rcnn_demo/cpp/README.md index c03ff90ec28..76bf3d6aa82 100644 --- a/demos/mask_rcnn_demo/cpp/README.md +++ b/demos/mask_rcnn_demo/cpp/README.md @@ -14,7 +14,7 @@ On startup, the demo application reads command line parameters and loads a netwo For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/mask_rcnn_demo/cpp/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/monodepth_demo/python/README.md b/demos/monodepth_demo/python/README.md index 770fbb770b1..8f0d0d5b92f 100644 --- a/demos/monodepth_demo/python/README.md +++ b/demos/monodepth_demo/python/README.md @@ -21,7 +21,7 @@ Async API operates with a notion of the "Infer Request" that encapsulates the in For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/monodepth_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/multi_camera_multi_target_tracking_demo/python/README.md b/demos/multi_camera_multi_target_tracking_demo/python/README.md index 8cc7f69cdcf..f0cf3cb6aaa 100644 --- a/demos/multi_camera_multi_target_tracking_demo/python/README.md +++ b/demos/multi_camera_multi_target_tracking_demo/python/README.md @@ -36,7 +36,7 @@ pip3 install -r requirements.txt For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/multi_camera_multi_target_tracking_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/multi_channel_face_detection_demo/cpp/README.md b/demos/multi_channel_face_detection_demo/cpp/README.md index 8cf7270ea06..5cf2d1cdd1d 100644 --- a/demos/multi_channel_face_detection_demo/cpp/README.md +++ b/demos/multi_channel_face_detection_demo/cpp/README.md @@ -17,7 +17,7 @@ On startup, the application reads command line parameters and loads the specifie For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/multi_channel_face_detection_demo/cpp/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/multi_channel_human_pose_estimation_demo/cpp/README.md b/demos/multi_channel_human_pose_estimation_demo/cpp/README.md index 27752b56582..4e04e312c8d 100644 --- a/demos/multi_channel_human_pose_estimation_demo/cpp/README.md +++ b/demos/multi_channel_human_pose_estimation_demo/cpp/README.md @@ -17,7 +17,7 @@ On startup, the application reads command line parameters and loads the specifie For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/multi_channel_human_pose_estimation_demo/cpp/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/multi_channel_object_detection_demo_yolov3/cpp/README.md b/demos/multi_channel_object_detection_demo_yolov3/cpp/README.md index d9a90a297c3..a570a3f4b7d 100644 --- a/demos/multi_channel_object_detection_demo_yolov3/cpp/README.md +++ b/demos/multi_channel_object_detection_demo_yolov3/cpp/README.md @@ -17,7 +17,7 @@ On startup, the application reads command line parameters and loads the specifie For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/multi_channel_object_detection_demo_yolov3/cpp/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). You can also review OpenVINO [article](https://docs.openvino.ai/latest/_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_YOLO_From_Tensorflow.html) to see how to convert the YOLO V3 and tiny YOLO V3 into IR model and execute this demo with converted IR model. +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). You can also review OpenVINO [article](https://docs.openvino.ai/latest/_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_YOLO_From_Tensorflow.html) to see how to convert the YOLO V3 and tiny YOLO V3 into IR model and execute this demo with converted IR model. An example of using the Model Downloader: diff --git a/demos/noise_suppression_demo/cpp/README.md b/demos/noise_suppression_demo/cpp/README.md index 4090b24861b..5f88d95f3ce 100644 --- a/demos/noise_suppression_demo/cpp/README.md +++ b/demos/noise_suppression_demo/cpp/README.md @@ -11,7 +11,7 @@ The output of network is also sequence of audio patches with clean speech. The p ## Preparing to Run The list of models supported by the demo is in `/demos/noise_suppression_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/noise_suppression_demo/python/README.md b/demos/noise_suppression_demo/python/README.md index 86683b26052..6af771c9e5d 100644 --- a/demos/noise_suppression_demo/python/README.md +++ b/demos/noise_suppression_demo/python/README.md @@ -11,7 +11,7 @@ The output of network is also sequence of audio patches with clean speech. The p ## Preparing to Run The list of models supported by the demo is in `/demos/noise_suppression_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/object_detection_demo/cpp/README.md b/demos/object_detection_demo/cpp/README.md index 9160dbff9d0..ed6638fa58b 100644 --- a/demos/object_detection_demo/cpp/README.md +++ b/demos/object_detection_demo/cpp/README.md @@ -58,7 +58,7 @@ For more details on the requests-based Inference Engine API, including the Async For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/object_detection_demo/cpp/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/object_detection_demo/python/README.md b/demos/object_detection_demo/python/README.md index 12575aae811..d74b515249e 100644 --- a/demos/object_detection_demo/python/README.md +++ b/demos/object_detection_demo/python/README.md @@ -43,7 +43,7 @@ Async API operates with a notion of the "Infer Request" that encapsulates the in For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/object_detection_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/pedestrian_tracker_demo/cpp/README.md b/demos/pedestrian_tracker_demo/cpp/README.md index dfad482c1ab..1af08e4b8e4 100644 --- a/demos/pedestrian_tracker_demo/cpp/README.md +++ b/demos/pedestrian_tracker_demo/cpp/README.md @@ -24,7 +24,7 @@ After that, the application displays the tracks and the latest detections on the For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/pedestrian_tracker_demo/cpp/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/place_recognition_demo/python/README.md b/demos/place_recognition_demo/python/README.md index e407771cdff..ce1147023cf 100644 --- a/demos/place_recognition_demo/python/README.md +++ b/demos/place_recognition_demo/python/README.md @@ -32,7 +32,7 @@ The demo workflow is the following: For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/place_recognition_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/security_barrier_camera_demo/cpp/README.md b/demos/security_barrier_camera_demo/cpp/README.md index 900fe9e36e2..320290020f0 100644 --- a/demos/security_barrier_camera_demo/cpp/README.md +++ b/demos/security_barrier_camera_demo/cpp/README.md @@ -40,7 +40,7 @@ At the end of the sequence, the `VideoFrame` is destroyed and the sequence start For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/security_barrier_camera_demo/cpp/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/segmentation_demo/cpp/README.md b/demos/segmentation_demo/cpp/README.md index 1cd529c8485..dd19843951a 100644 --- a/demos/segmentation_demo/cpp/README.md +++ b/demos/segmentation_demo/cpp/README.md @@ -16,7 +16,7 @@ On startup the demo application reads command line parameters and loads a networ For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/segmentation_demo/cpp/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/segmentation_demo/python/README.md b/demos/segmentation_demo/python/README.md index 651a777c552..d6aaba1d8be 100644 --- a/demos/segmentation_demo/python/README.md +++ b/demos/segmentation_demo/python/README.md @@ -16,7 +16,7 @@ On startup the demo application reads command line parameters and loads a networ For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/segmentation_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/single_human_pose_estimation_demo/python/README.md b/demos/single_human_pose_estimation_demo/python/README.md index 20623d829c4..a96fba9c39d 100644 --- a/demos/single_human_pose_estimation_demo/python/README.md +++ b/demos/single_human_pose_estimation_demo/python/README.md @@ -14,7 +14,7 @@ On startup, the application reads command line parameters and loads detection pe For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/single_human_pose_estimation_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/smart_classroom_demo/cpp/README.md b/demos/smart_classroom_demo/cpp/README.md index fc7b401fe1b..bfa89e5bc5b 100644 --- a/demos/smart_classroom_demo/cpp/README.md +++ b/demos/smart_classroom_demo/cpp/README.md @@ -31,7 +31,7 @@ To recognize faces on a frame, the demo needs a gallery of reference images. Eac For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/smart_classroom_demo/cpp/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/smart_classroom_demo/cpp_gapi/README.md b/demos/smart_classroom_demo/cpp_gapi/README.md index 43789526aed..4fed4eb68b2 100644 --- a/demos/smart_classroom_demo/cpp_gapi/README.md +++ b/demos/smart_classroom_demo/cpp_gapi/README.md @@ -31,7 +31,7 @@ To recognize faces on a frame, the demo needs a gallery of reference images. Eac For demo input image or video files you may refer to [Media Files Available for Demos](../../README.md#Media-Files-Available-for-Demos). The list of models supported by the demo is in `/demos/smart_classroom_demo/cpp_gapi/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/social_distance_demo/cpp/README.md b/demos/social_distance_demo/cpp/README.md index f4416e4c395..a7bdb4313ca 100644 --- a/demos/social_distance_demo/cpp/README.md +++ b/demos/social_distance_demo/cpp/README.md @@ -36,7 +36,7 @@ At the end of the sequence, the `VideoFrame` is destroyed and the sequence start For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/social_distance_demo/cpp/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/sound_classification_demo/python/README.md b/demos/sound_classification_demo/python/README.md index 6f355a9b67a..68a6da84cbc 100644 --- a/demos/sound_classification_demo/python/README.md +++ b/demos/sound_classification_demo/python/README.md @@ -10,7 +10,7 @@ On startup the demo application reads command line parameters and loads a networ For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/sound_classification_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/speech_recognition_deepspeech_demo/python/README.md b/demos/speech_recognition_deepspeech_demo/python/README.md index 4cf0092b996..5db4cad8a1a 100644 --- a/demos/speech_recognition_deepspeech_demo/python/README.md +++ b/demos/speech_recognition_deepspeech_demo/python/README.md @@ -21,7 +21,7 @@ The application has two modes: ## Preparing to Run The list of models supported by the demo is in `/demos/speech_recognition_deepspeech_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). Don't forget to configure Model Optimizer, which is a requirement for Model Downloader, as described in its documentation. An example of using the Model Downloader: diff --git a/demos/speech_recognition_quartznet_demo/python/README.md b/demos/speech_recognition_quartznet_demo/python/README.md index 610ce081cb4..44d2c871ec6 100644 --- a/demos/speech_recognition_quartznet_demo/python/README.md +++ b/demos/speech_recognition_quartznet_demo/python/README.md @@ -9,7 +9,7 @@ After computing audio features, running a neural network to get character probab ## Preparing to Run The list of models supported by the demo is in `/demos/speech_recognition_quartznet_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/speech_recognition_wav2vec_demo/python/README.md b/demos/speech_recognition_wav2vec_demo/python/README.md index d5fa276d410..aa076dd9af0 100644 --- a/demos/speech_recognition_wav2vec_demo/python/README.md +++ b/demos/speech_recognition_wav2vec_demo/python/README.md @@ -9,7 +9,7 @@ After reading and normalizing audio signal, running a neural network to get char ## Preparing to Run The list of models supported by the demo is in `/demos/speech_recognition_wav2vec_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/text_detection_demo/cpp/README.md b/demos/text_detection_demo/cpp/README.md index 49c0af84d10..0350905244d 100644 --- a/demos/text_detection_demo/cpp/README.md +++ b/demos/text_detection_demo/cpp/README.md @@ -27,7 +27,7 @@ If text recognition model is provided, the demo prints recognized text as well. For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/text_detection_demo/cpp/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/text_spotting_demo/python/README.md b/demos/text_spotting_demo/python/README.md index 6f8fde25f35..ab0a4f705b2 100644 --- a/demos/text_spotting_demo/python/README.md +++ b/demos/text_spotting_demo/python/README.md @@ -43,7 +43,7 @@ The demo workflow is the following: For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/text_spotting_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/text_to_speech_demo/python/README.md b/demos/text_to_speech_demo/python/README.md index 1cb9391b65b..dd8c97ab53f 100644 --- a/demos/text_to_speech_demo/python/README.md +++ b/demos/text_to_speech_demo/python/README.md @@ -13,7 +13,7 @@ When inference is done, the application outputs the audio to the WAV file with 2 ## Preparing to Run The list of models supported by the demo is in `/demos/text_to_speech_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/time_series_forecasting_demo/python/README.md b/demos/time_series_forecasting_demo/python/README.md index ac6fb800866..edc017bc4cb 100644 --- a/demos/time_series_forecasting_demo/python/README.md +++ b/demos/time_series_forecasting_demo/python/README.md @@ -19,7 +19,7 @@ pip install -r requirements.txt ``` The list of models supported by the demo is in `/demos/whiteboard_inpainting_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/demos/whiteboard_inpainting_demo/python/README.md b/demos/whiteboard_inpainting_demo/python/README.md index 67f71301ee6..ee596dfa145 100644 --- a/demos/whiteboard_inpainting_demo/python/README.md +++ b/demos/whiteboard_inpainting_demo/python/README.md @@ -24,7 +24,7 @@ As an input, the demo application takes: For demo input image or video files, refer to the section **Media Files Available for Demos** in the [Open Model Zoo Demos Overview](../../README.md). The list of models supported by the demo is in `/demos/whiteboard_inpainting_demo/python/models.lst` file. -This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO Inference Engine format (\*.xml + \*.bin). +This file can be used as a parameter for [Model Downloader](../../../tools/model_tools/README.md) and Converter to download and, if necessary, convert models to OpenVINO IR format (\*.xml + \*.bin). An example of using the Model Downloader: diff --git a/models/intel/index.md b/models/intel/index.md index d53e3fe3b81..d4226495a1d 100644 --- a/models/intel/index.md +++ b/models/intel/index.md @@ -347,4 +347,6 @@ Deep Learning models for online sequence modeling. ## Legal Information -[*] Other names and brands may be claimed as the property of others. +Caffe, Caffe2, Keras, MXNet, PyTorch, and TensorFlow are trademarks or brand names of their respective owners. +All company, product and service names used in this website are for identification purposes only. +Use of these names,trademarks and brands does not imply endorsement. diff --git a/models/public/Sphereface/README.md b/models/public/Sphereface/README.md index 7871ed5a7fe..0291649b9c0 100644 --- a/models/public/Sphereface/README.md +++ b/models/public/Sphereface/README.md @@ -64,9 +64,9 @@ Face embeddings, name - `fc5`, shape - `1, 512`, output data format - `B, C`, The net outputs on different images are comparable in cosine distance. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/aclnet-int8/README.md b/models/public/aclnet-int8/README.md index 0f6bc821689..2bc34afee37 100644 --- a/models/public/aclnet-int8/README.md +++ b/models/public/aclnet-int8/README.md @@ -62,9 +62,9 @@ Sound classifier (see labels file, `/data/dataset_classes/aclnet_53cl.t - `N` - batch size - `C` - predicted softmax scores for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/aclnet/README.md b/models/public/aclnet/README.md index 1a95d7b7d86..f01801d9e41 100644 --- a/models/public/aclnet/README.md +++ b/models/public/aclnet/README.md @@ -61,9 +61,9 @@ Sound classifier (see labels file, `/data/dataset_classes/aclnet_53cl.t - `N` - batch size - `C` - predicted softmax scores for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/alexnet/README.md b/models/public/alexnet/README.md index 3e109464742..8385b020ed9 100644 --- a/models/public/alexnet/README.md +++ b/models/public/alexnet/README.md @@ -68,9 +68,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 1000 - `C` - predicted probabilities for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/anti-spoof-mn3/README.md b/models/public/anti-spoof-mn3/README.md index 4b43fa2ed8a..baeda64f724 100644 --- a/models/public/anti-spoof-mn3/README.md +++ b/models/public/anti-spoof-mn3/README.md @@ -61,9 +61,9 @@ Probabilities for two classes (0 class is a real person, 1 - is a spoof image). - `B` - batch size - `C` - vector of probabilities. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/bert-base-ner/README.md b/models/public/bert-base-ner/README.md index 7bf8bce4ac2..4b38287fec1 100644 --- a/models/public/bert-base-ner/README.md +++ b/models/public/bert-base-ner/README.md @@ -78,9 +78,9 @@ floating point-valued logit scores vectors that represents probability of belong Converted model has the same output like original. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/brain-tumor-segmentation-0001/README.md b/models/public/brain-tumor-segmentation-0001/README.md index dc19be4846c..c5730194856 100644 --- a/models/public/brain-tumor-segmentation-0001/README.md +++ b/models/public/brain-tumor-segmentation-0001/README.md @@ -88,9 +88,9 @@ Probabilities of the given voxel to be in the corresponding class, name - `softm With the following channels: `background`, `necrotic core`, `edema` and `enhancing tumor`. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/brain-tumor-segmentation-0002/README.md b/models/public/brain-tumor-segmentation-0002/README.md index 783b9d82222..9837631b076 100644 --- a/models/public/brain-tumor-segmentation-0002/README.md +++ b/models/public/brain-tumor-segmentation-0002/README.md @@ -99,9 +99,9 @@ Probabilities of the given voxel to be in the corresponding class, name - `304`, The channels are ordered as `whole tumor`, `tumor core`, and `enhancing tumor`. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/caffenet/README.md b/models/public/caffenet/README.md index f1b2bd5df4f..3f58a92d676 100644 --- a/models/public/caffenet/README.md +++ b/models/public/caffenet/README.md @@ -57,9 +57,9 @@ probability for each class. Object classifier according to ImageNet classes, name: `prob`, shape: `1, 1000`. Contains predicted probability for each class. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/cocosnet/README.md b/models/public/cocosnet/README.md index 795f5b27d0e..86bc1f5774d 100644 --- a/models/public/cocosnet/README.md +++ b/models/public/cocosnet/README.md @@ -64,9 +64,9 @@ Image, name: `exemplar_based_output`, shape: `1, 3, 256, 256` - A result (genera Output color order is `RGB`. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/colorization-siggraph/README.md b/models/public/colorization-siggraph/README.md index c229764e7c4..19986ac5c65 100644 --- a/models/public/colorization-siggraph/README.md +++ b/models/public/colorization-siggraph/README.md @@ -83,9 +83,9 @@ Image, name - `color_ab`, shape - `1, 2, 256, 256`, format is `B, C, H, W`, wher Channel order is AB channels of LAB-image. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/colorization-v2/README.md b/models/public/colorization-v2/README.md index 0c5c6459126..96e70039751 100644 --- a/models/public/colorization-v2/README.md +++ b/models/public/colorization-v2/README.md @@ -86,9 +86,9 @@ Image, name - `color_ab`, shape - `1, 2, 256, 256`, format is `B, C, H, W`, whe Channel order is AB channels of LAB-image. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/common-sign-language-0001/README.md b/models/public/common-sign-language-0001/README.md index 9de6b62d97c..a07f330fa7b 100644 --- a/models/public/common-sign-language-0001/README.md +++ b/models/public/common-sign-language-0001/README.md @@ -63,9 +63,9 @@ Blob of the shape `1, 27` in the `B, C` format, where: - `B` - batch size - `C` - predicted logits size -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/ctdet_coco_dlav0_512/README.md b/models/public/ctdet_coco_dlav0_512/README.md index d9f33d0c591..08a74c35686 100644 --- a/models/public/ctdet_coco_dlav0_512/README.md +++ b/models/public/ctdet_coco_dlav0_512/README.md @@ -53,9 +53,9 @@ Expected color order: `BGR`. 2. Object size output, name: `width_height`. Contains predicted width and height for each object. 3. Regression output, name: `regression`. Contains offsets for each prediction. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/ctpn/README.md b/models/public/ctpn/README.md index f9b69acca51..431b6d7a12d 100644 --- a/models/public/ctpn/README.md +++ b/models/public/ctpn/README.md @@ -78,9 +78,9 @@ Expected color order: `BGR`. - `W` - image width - `A` - vector of 4\*N coordinates, where N is the number of detected anchors. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/deblurgan-v2/README.md b/models/public/deblurgan-v2/README.md index 2d50ffe4ab4..38741900dff 100644 --- a/models/public/deblurgan-v2/README.md +++ b/models/public/deblurgan-v2/README.md @@ -74,9 +74,9 @@ Deblurred image, name - `deblur_image`, shape - `1, 3, 736, 1312`, output data Channel order is `BGR`. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/deeplabv3/README.md b/models/public/deeplabv3/README.md index 677baf8ce7d..3a8998af6b0 100644 --- a/models/public/deeplabv3/README.md +++ b/models/public/deeplabv3/README.md @@ -61,9 +61,9 @@ Integer values in a range [0, 20], which represent an index of a predicted class - `H` - image height - `W` - image width -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/densenet-121-tf/README.md b/models/public/densenet-121-tf/README.md index 71541573c9f..e7a809cf41d 100644 --- a/models/public/densenet-121-tf/README.md +++ b/models/public/densenet-121-tf/README.md @@ -59,9 +59,9 @@ Object classifier according to ImageNet classes, name: `StatefulPartitionedCall/ The converted model has the same parameters as the original model. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/densenet-121/README.md b/models/public/densenet-121/README.md index 1887fd923b9..aa6dfb2145f 100644 --- a/models/public/densenet-121/README.md +++ b/models/public/densenet-121/README.md @@ -70,9 +70,9 @@ probability for each class in logits format. Object classifier according to ImageNet classes, name - `fc6`, shape - `1, 1000, 1, 1`, contains predicted probability for each class in logits format. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/detr-resnet50/README.md b/models/public/detr-resnet50/README.md index 068bf568a45..bb7655d4d97 100644 --- a/models/public/detr-resnet50/README.md +++ b/models/public/detr-resnet50/README.md @@ -83,9 +83,9 @@ Expected color order is `BGR`. 2. Scores, name: `scores`, shape - `1, 100, 92`. Contains scores for 91 [Common Objects in Context (COCO)](https://cocodataset.org/#home) object classes. The last class is `no-object` class. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/dla-34/README.md b/models/public/dla-34/README.md index 693040c8b13..43602b1c33a 100644 --- a/models/public/dla-34/README.md +++ b/models/public/dla-34/README.md @@ -62,9 +62,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 100 - `B` - batch size - `C` - predicted probabilities for each class in logits format -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/drn-d-38/README.md b/models/public/drn-d-38/README.md index 43f9e535fe3..02916d1b820 100644 --- a/models/public/drn-d-38/README.md +++ b/models/public/drn-d-38/README.md @@ -68,9 +68,9 @@ Float values, which represent scores of a predicted class for each image pixel. - `H` - image height - `W` - image width -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/efficientdet-d0-tf/README.md b/models/public/efficientdet-d0-tf/README.md index e5f23f2b446..1e1a493ae0d 100644 --- a/models/public/efficientdet-d0-tf/README.md +++ b/models/public/efficientdet-d0-tf/README.md @@ -72,9 +72,9 @@ bounding boxes. For each detection, the description has the format: - (`x_min`, `y_min`) - coordinates of the top left bounding box corner (coordinates stored in normalized format, in range [0, 1]) - (`x_max`, `y_max`) - coordinates of the bottom right bounding box corner (coordinates stored in normalized format, in range [0, 1]) -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/efficientdet-d1-tf/README.md b/models/public/efficientdet-d1-tf/README.md index fc764c1b834..d866af117a1 100644 --- a/models/public/efficientdet-d1-tf/README.md +++ b/models/public/efficientdet-d1-tf/README.md @@ -72,9 +72,9 @@ bounding boxes. For each detection, the description has the format: - (`x_min`, `y_min`) - coordinates of the top left bounding box corner (coordinates stored in normalized format, in range [0, 1]) - (`x_max`, `y_max`) - coordinates of the bottom right bounding box corner (coordinates stored in normalized format, in range [0, 1]) -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/efficientnet-b0-pytorch/README.md b/models/public/efficientnet-b0-pytorch/README.md index 0356465ee7a..27ae0726514 100644 --- a/models/public/efficientnet-b0-pytorch/README.md +++ b/models/public/efficientnet-b0-pytorch/README.md @@ -69,9 +69,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 100 - `B` - batch size - `C` - predicted probabilities for each class in the logits format -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/efficientnet-b0/README.md b/models/public/efficientnet-b0/README.md index ce4997f29bb..a1ce0c3e54f 100644 --- a/models/public/efficientnet-b0/README.md +++ b/models/public/efficientnet-b0/README.md @@ -64,9 +64,9 @@ Object classifier according to ImageNet classes, name - `efficientnet-b0/model/h - `B` - batch size - `C` - predicted probabilities for each class in logits format -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/efficientnet-v2-b0/README.md b/models/public/efficientnet-v2-b0/README.md index e3e311bfe45..41f29e59a5a 100644 --- a/models/public/efficientnet-v2-b0/README.md +++ b/models/public/efficientnet-v2-b0/README.md @@ -63,9 +63,9 @@ Object classifier according to ImageNet classes, name: `logits`, shape: `1, 100 - `B` - batch size - `C` - vector of probabilities for all dataset classes in logits format -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/efficientnet-v2-s/README.md b/models/public/efficientnet-v2-s/README.md index 5cce4e5b5a4..c0e8709414b 100644 --- a/models/public/efficientnet-v2-s/README.md +++ b/models/public/efficientnet-v2-s/README.md @@ -63,9 +63,9 @@ Object classifier according to ImageNet classes, name: `logits`, shape: `1, 100 - `B` - batch size - `C` - vector of probabilities for all dataset classes in logits format -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/f3net/README.md b/models/public/f3net/README.md index 96e6ba24b70..e0ebf1256ff 100644 --- a/models/public/f3net/README.md +++ b/models/public/f3net/README.md @@ -75,9 +75,9 @@ Saliency map, name `saliency_map`, shape `1, 1, 352, 352`, format `B, C, H, W`, The converted model has the same parameters as the original model. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/face-detection-retail-0044/README.md b/models/public/face-detection-retail-0044/README.md index 9b3f9f398e1..5b316fd6c0c 100644 --- a/models/public/face-detection-retail-0044/README.md +++ b/models/public/face-detection-retail-0044/README.md @@ -75,9 +75,9 @@ bounding boxes. For each detection, the description has the format: - (`x_min`, `y_min`) - coordinates of the top left bounding box corner - (`x_max`, `y_max`) - coordinates of the bottom right bounding box corner. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/face-recognition-resnet100-arcface-onnx/README.md b/models/public/face-recognition-resnet100-arcface-onnx/README.md index ad81e763929..394cb195856 100644 --- a/models/public/face-recognition-resnet100-arcface-onnx/README.md +++ b/models/public/face-recognition-resnet100-arcface-onnx/README.md @@ -64,9 +64,9 @@ Face embeddings, name: `fc1`, shape: `1, 512`, output data format: `B, C`, wher The net outputs on different images are comparable in cosine distance. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/faceboxes-pytorch/README.md b/models/public/faceboxes-pytorch/README.md index 8ab1afe4fff..ccf37971eac 100644 --- a/models/public/faceboxes-pytorch/README.md +++ b/models/public/faceboxes-pytorch/README.md @@ -60,9 +60,9 @@ Expected color order - `BGR`. The converted model has the same parameters as the original model. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/facenet-20180408-102900/README.md b/models/public/facenet-20180408-102900/README.md index e2980500aa8..08d81395603 100644 --- a/models/public/facenet-20180408-102900/README.md +++ b/models/public/facenet-20180408-102900/README.md @@ -59,9 +59,9 @@ Face embeddings, name - `InceptionResnetV1/Bottleneck/BatchNorm/Reshape_1/Normal - `B` - batch size - `C` - row-vector of 512 floating-point values - face embeddings -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/fast-neural-style-mosaic-onnx/README.md b/models/public/fast-neural-style-mosaic-onnx/README.md index 372024c50e9..7936b86ae33 100644 --- a/models/public/fast-neural-style-mosaic-onnx/README.md +++ b/models/public/fast-neural-style-mosaic-onnx/README.md @@ -74,9 +74,9 @@ Image, name - `output1`, shape - `1, 3, 224, 224`, format is `B, C, H, W`, where Expected color order: `RGB`. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/faster_rcnn_inception_resnet_v2_atrous_coco/README.md b/models/public/faster_rcnn_inception_resnet_v2_atrous_coco/README.md index 4648968f284..fe5554d6c99 100644 --- a/models/public/faster_rcnn_inception_resnet_v2_atrous_coco/README.md +++ b/models/public/faster_rcnn_inception_resnet_v2_atrous_coco/README.md @@ -69,9 +69,9 @@ bounding boxes. For each detection, the description has the format: - (`x_min`, `y_min`) - coordinates of the top left bounding box corner (coordinates stored in normalized format, in range [0, 1]) - (`x_max`, `y_max`) - coordinates of the bottom right bounding box corner (coordinates stored in normalized format, in range [0, 1]) -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/faster_rcnn_resnet50_coco/README.md b/models/public/faster_rcnn_resnet50_coco/README.md index fe51ab24acb..39af7e3cdfe 100644 --- a/models/public/faster_rcnn_resnet50_coco/README.md +++ b/models/public/faster_rcnn_resnet50_coco/README.md @@ -69,9 +69,9 @@ bounding boxes. For each detection, the description has the format: - (`x_min`, `y_min`) - coordinates of the top left bounding box corner (coordinates stored in normalized format, in range [0, 1]) - (`x_max`, `y_max`) - coordinates of the bottom right bounding box corner (coordinates stored in normalized format, in range [0, 1]) -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/fastseg-large/README.md b/models/public/fastseg-large/README.md index bb5b14250df..5054aaf4144 100644 --- a/models/public/fastseg-large/README.md +++ b/models/public/fastseg-large/README.md @@ -64,9 +64,9 @@ Float values, which represent scores of a predicted class for each image pixel. - `H` - image height - `W` - image width -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/fastseg-small/README.md b/models/public/fastseg-small/README.md index c65a8b0ac9d..fd6427fa0ca 100644 --- a/models/public/fastseg-small/README.md +++ b/models/public/fastseg-small/README.md @@ -64,9 +64,9 @@ Float values, which represent scores of a predicted class for each image pixel. - `H` - image height - `W` - image width -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/fbcnn/README.md b/models/public/fbcnn/README.md index 30e5450e4ef..8c3649b19f8 100644 --- a/models/public/fbcnn/README.md +++ b/models/public/fbcnn/README.md @@ -71,9 +71,9 @@ Restored image, name - `image_result`, shape - `1, 3, 512, 512`, output data fo Channel order is `BGR`. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/fcrn-dp-nyu-depth-v2-tf/README.md b/models/public/fcrn-dp-nyu-depth-v2-tf/README.md index 07c022dd672..835d46e8a59 100644 --- a/models/public/fcrn-dp-nyu-depth-v2-tf/README.md +++ b/models/public/fcrn-dp-nyu-depth-v2-tf/README.md @@ -76,9 +76,9 @@ Inverse depth map, name - `ConvPred/ConvPred`, shape - `1, 128, 160`, format is Inverse depth map is defined up to an unknown scale factor. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/forward-tacotron/README.md b/models/public/forward-tacotron/README.md index 3e9e87f46bf..41c59c4ac55 100644 --- a/models/public/forward-tacotron/README.md +++ b/models/public/forward-tacotron/README.md @@ -96,9 +96,9 @@ Mel-spectrogram, name: `mel`, shape: `80, 805`, format: `C, T`, where: - `T` - time in mel-spectrogram - `C` - number of mels in mel-spectrogram -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/gmcnn-places2-tf/README.md b/models/public/gmcnn-places2-tf/README.md index 19948a155cf..a69d84cb4fd 100644 --- a/models/public/gmcnn-places2-tf/README.md +++ b/models/public/gmcnn-places2-tf/README.md @@ -110,9 +110,9 @@ Restored image, name: `Cast`, shape: `1, 3, 512, 680`, format: `B, C, H, W`, whe Expected color order: `BGR`. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/googlenet-v1-tf/README.md b/models/public/googlenet-v1-tf/README.md index 515a6190d12..98ac1a99a0d 100644 --- a/models/public/googlenet-v1-tf/README.md +++ b/models/public/googlenet-v1-tf/README.md @@ -63,9 +63,9 @@ Object classifier according to ImageNet classes, name - `InceptionV1/Logits/Pred - `B` - batch size - `C` - predicted probabilities for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/googlenet-v1/README.md b/models/public/googlenet-v1/README.md index 4004ad4d8b6..846bb65ae3d 100644 --- a/models/public/googlenet-v1/README.md +++ b/models/public/googlenet-v1/README.md @@ -67,9 +67,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 100 - `B` - batch size - `C` - predicted probabilities for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/googlenet-v2-tf/README.md b/models/public/googlenet-v2-tf/README.md index 162be3ebcd6..1a7fffdc707 100644 --- a/models/public/googlenet-v2-tf/README.md +++ b/models/public/googlenet-v2-tf/README.md @@ -63,9 +63,9 @@ Object classifier according to ImageNet classes, name - `InceptionV2/Predictions - `B` - batch size - `C` - predicted probabilities for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/googlenet-v2/README.md b/models/public/googlenet-v2/README.md index 55b67dc0b05..b7d29cd8ecf 100644 --- a/models/public/googlenet-v2/README.md +++ b/models/public/googlenet-v2/README.md @@ -67,9 +67,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 100 - `B` - batch size - `C` - predicted probabilities for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/googlenet-v3-pytorch/README.md b/models/public/googlenet-v3-pytorch/README.md index 17f161aa372..b7fd61454be 100644 --- a/models/public/googlenet-v3-pytorch/README.md +++ b/models/public/googlenet-v3-pytorch/README.md @@ -61,9 +61,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 1000 - `B` - batch size - `C` - vector of probabilities for each class in logits format -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/googlenet-v3/README.md b/models/public/googlenet-v3/README.md index 2b9e81df7bb..3e03c35fbf6 100644 --- a/models/public/googlenet-v3/README.md +++ b/models/public/googlenet-v3/README.md @@ -52,9 +52,9 @@ Object classifier according to ImageNet classes, name: `InceptionV3/Predictions/ - `B` - batch size - `C` - vector of probabilities for all dataset classes in [0, 1] range (0 class is background). -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/googlenet-v4-tf/README.md b/models/public/googlenet-v4-tf/README.md index b183e76d783..38ada3196e3 100644 --- a/models/public/googlenet-v4-tf/README.md +++ b/models/public/googlenet-v4-tf/README.md @@ -63,9 +63,9 @@ Object classifier according to ImageNet classes, name - `InceptionV4/Logits/Pred - `B` - batch size - `C` - predicted probabilities for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/gpt-2/README.md b/models/public/gpt-2/README.md index 5c46a0f34da..381d1298397 100644 --- a/models/public/gpt-2/README.md +++ b/models/public/gpt-2/README.md @@ -59,9 +59,9 @@ Prediction scores of language modeling head, name: `output`, dynamic shape `B, L - `L` - sequence length - `S` - vocab size -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/hbonet-0.25/README.md b/models/public/hbonet-0.25/README.md index 6a6b15b6db9..5bfbe21241a 100644 --- a/models/public/hbonet-0.25/README.md +++ b/models/public/hbonet-0.25/README.md @@ -52,9 +52,9 @@ Object classifier according to ImageNet classes, shape: `1, 1000` in `B, C` form - `B` - batch size - `C` - vector of probabilities for all dataset classes in logits format. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/hbonet-1.0/README.md b/models/public/hbonet-1.0/README.md index e2501f26ae4..f363aa9f38f 100644 --- a/models/public/hbonet-1.0/README.md +++ b/models/public/hbonet-1.0/README.md @@ -52,9 +52,9 @@ Object classifier according to ImageNet classes, shape: `1, 1000` in `B, C` form - `B` - batch size - `C` - vector of probabilities for all dataset classes in logits format. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/higher-hrnet-w32-human-pose-estimation/README.md b/models/public/higher-hrnet-w32-human-pose-estimation/README.md index f484fdc9b42..29314ac58d2 100644 --- a/models/public/higher-hrnet-w32-human-pose-estimation/README.md +++ b/models/public/higher-hrnet-w32-human-pose-estimation/README.md @@ -56,9 +56,9 @@ The net outputs two blobs: - `heatmaps` of shape `1, 17, 256, 256` containing location heatmaps for keypoints of pose. Locations that are filtered out by non-maximum suppression algorithm have negated values assigned to them. - `embeddings` of shape `1, 17, 256, 256` containing associative embedding values, which are used for grouping individual keypoints into poses. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/hrnet-v2-c1-segmentation/README.md b/models/public/hrnet-v2-c1-segmentation/README.md index bb5453ef1e8..1673a527404 100644 --- a/models/public/hrnet-v2-c1-segmentation/README.md +++ b/models/public/hrnet-v2-c1-segmentation/README.md @@ -69,9 +69,9 @@ Semantic-segmentation mask according to ADE20k classes, name - `softmax`, shape - `H` - height - `W` - width -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/human-pose-estimation-3d-0001/README.md b/models/public/human-pose-estimation-3d-0001/README.md index 77f598f27a2..bbb47fe6231 100644 --- a/models/public/human-pose-estimation-3d-0001/README.md +++ b/models/public/human-pose-estimation-3d-0001/README.md @@ -36,9 +36,9 @@ The net outputs are three blobs: 2. Name: `heatmaps`, shape: `1, 19, 32, 56` - keypoint heatmaps. 3. Name: `pafs`, shape: `1, 38, 32, 56` - keypoint pairwise relations (part affinity fields). -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/hybrid-cs-model-mri/README.md b/models/public/hybrid-cs-model-mri/README.md index ae46a676731..efa93596467 100644 --- a/models/public/hybrid-cs-model-mri/README.md +++ b/models/public/hybrid-cs-model-mri/README.md @@ -54,9 +54,9 @@ The net outputs a blob with the name `StatefulPartitionedCall/model/conv2d_43/Bi The net outputs a blob with the name `StatefulPartitionedCall/model/conv2d_43/BiasAdd/Add` and shape `1, 1, 256, 256`, containing reconstructed MR image. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/i3d-rgb-tf/README.md b/models/public/i3d-rgb-tf/README.md index 8d1d967792a..96a4cdb5db0 100644 --- a/models/public/i3d-rgb-tf/README.md +++ b/models/public/i3d-rgb-tf/README.md @@ -87,9 +87,9 @@ Action classifier according to [Kinetics-400](https://www.deepmind.com/research/ - `B` - batch size - `C` - predicted probabilities for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/inception-resnet-v2-tf/README.md b/models/public/inception-resnet-v2-tf/README.md index 05991d4df03..9b8b4ea9ef9 100644 --- a/models/public/inception-resnet-v2-tf/README.md +++ b/models/public/inception-resnet-v2-tf/README.md @@ -58,9 +58,9 @@ Probabilities for all dataset classes (0 class is background). Probabilities are - `B` - batch size - `C` - vector of probabilities. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/index.md b/models/public/index.md index f4c047cf3ad..0ad0f43c711 100644 --- a/models/public/index.md +++ b/models/public/index.md @@ -5,7 +5,7 @@ that you can use for learning and demo purposes or for developing deep learning software. Most recent version is available in the [repo on Github](https://github.com/openvinotoolkit/open_model_zoo). The table [Public Pre-Trained Models Device Support](./device_support.md) summarizes devices supported by each model. -You can download models and convert them into Inference Engine format (\*.xml + \*.bin) using the OpenVINO™ [Model Downloader](../../tools/model_tools/README.md) and other automation tools. +You can download models and convert them into OpenVINO™ IR format (\*.xml + \*.bin) using the OpenVINO™ [Model Downloader](../../tools/model_tools/README.md) and other automation tools. ## Classification @@ -338,4 +338,6 @@ or mixed pixels. This distinguishes background matting from segmentation approac ## Legal Information -[*] Other names and brands may be claimed as the property of others. +Caffe, Caffe2, Keras, MXNet, PyTorch, and TensorFlow are trademarks or brand names of their respective owners. +All company, product and service names used in this website are for identification purposes only. +Use of these names,trademarks and brands does not imply endorsement. diff --git a/models/public/license-plate-recognition-barrier-0007/README.md b/models/public/license-plate-recognition-barrier-0007/README.md index 0d62df8e4c8..be0c2a1f649 100644 --- a/models/public/license-plate-recognition-barrier-0007/README.md +++ b/models/public/license-plate-recognition-barrier-0007/README.md @@ -208,9 +208,9 @@ is an integer number encoding a character according to this dictionary: 68 Y 69 Z -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/mask_rcnn_inception_resnet_v2_atrous_coco/README.md b/models/public/mask_rcnn_inception_resnet_v2_atrous_coco/README.md index 3e3fc2b0467..56a87756b78 100644 --- a/models/public/mask_rcnn_inception_resnet_v2_atrous_coco/README.md +++ b/models/public/mask_rcnn_inception_resnet_v2_atrous_coco/README.md @@ -73,9 +73,9 @@ bounding boxes. For each detection, the description has the format: 2. Segmentation heatmaps for all classes for every output bounding box, name: `masks`, shape: `100, 90, 33, 33` in the format `N, 90, 33, 33`, where `N` is the number of detected masks, 90 is the number of classes (the background class excluded). -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/mask_rcnn_resnet50_atrous_coco/README.md b/models/public/mask_rcnn_resnet50_atrous_coco/README.md index 574dada2eda..a59e3150d7d 100644 --- a/models/public/mask_rcnn_resnet50_atrous_coco/README.md +++ b/models/public/mask_rcnn_resnet50_atrous_coco/README.md @@ -74,9 +74,9 @@ bounding boxes. For each detection, the description has the format: 2. Segmentation heatmaps for all classes for every output bounding box, name: `masks`, shape: `100, 90, 33, 33` in the format `N, 90, 33, 33`, where `N` is the number of detected masks, 90 is the number of classes (the background class excluded). -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/midasnet/README.md b/models/public/midasnet/README.md index e265ebab6b5..2e823b788ea 100644 --- a/models/public/midasnet/README.md +++ b/models/public/midasnet/README.md @@ -78,9 +78,9 @@ Inverse depth map, name - `inverse_depth`, shape - `1, 384, 384`, format is `B, Inverse depth map is defined up to an unknown scale factor. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/mixnet-l/README.md b/models/public/mixnet-l/README.md index feb5191881f..a6d596d013f 100644 --- a/models/public/mixnet-l/README.md +++ b/models/public/mixnet-l/README.md @@ -64,9 +64,9 @@ Object classifier according to ImageNet classes, name - `logits`, shape - `1,10 - `B` - batch size - `C` - predicted logits for each class -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/mobilefacedet-v1-mxnet/README.md b/models/public/mobilefacedet-v1-mxnet/README.md index 1332d01a13f..e5fabb431b9 100644 --- a/models/public/mobilefacedet-v1-mxnet/README.md +++ b/models/public/mobilefacedet-v1-mxnet/README.md @@ -84,9 +84,9 @@ Detection box has format [`x`, `y`, `h`, `w`, `box_score`, `face_score`], where: - `box_score` - confidence of detection box in [0, 1] range - `face_score` - probability that detected object belongs to face class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/mobilenet-ssd/README.md b/models/public/mobilenet-ssd/README.md index e475767516b..a4c735530e1 100644 --- a/models/public/mobilenet-ssd/README.md +++ b/models/public/mobilenet-ssd/README.md @@ -76,9 +76,9 @@ The array of detection summary info, name - `detection_out`, shape - `1, 1, 100 - (`x_min`, `y_min`) - coordinates of the top left bounding box corner (coordinates are in normalized format, in range [0, 1]) - (`x_max`, `y_max`) - coordinates of the bottom right bounding box corner (coordinates are in normalized format, in range [0, 1]) -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/mobilenet-v1-0.25-128/README.md b/models/public/mobilenet-v1-0.25-128/README.md index c59b3a3c0df..ab58025456a 100644 --- a/models/public/mobilenet-v1-0.25-128/README.md +++ b/models/public/mobilenet-v1-0.25-128/README.md @@ -58,9 +58,9 @@ Probabilities for all dataset classes in [0, 1] range (0 class is background). N - `B` - batch size - `C` - vector of probabilities. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/mobilenet-v1-1.0-224-tf/README.md b/models/public/mobilenet-v1-1.0-224-tf/README.md index 3980cc301d5..fa9560064ba 100644 --- a/models/public/mobilenet-v1-1.0-224-tf/README.md +++ b/models/public/mobilenet-v1-1.0-224-tf/README.md @@ -58,9 +58,9 @@ Probabilities for all dataset classes in [0, 1] range (0 class is background). N - `B` - batch size - `C` - vector of probabilities. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/mobilenet-v1-1.0-224/README.md b/models/public/mobilenet-v1-1.0-224/README.md index 7c04e9cf4a7..84f0ded7c87 100644 --- a/models/public/mobilenet-v1-1.0-224/README.md +++ b/models/public/mobilenet-v1-1.0-224/README.md @@ -61,9 +61,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 100 - `B` - batch size - `C` - predicted probabilities for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/mobilenet-v2-1.0-224/README.md b/models/public/mobilenet-v2-1.0-224/README.md index bded8c65544..9f45b55e0f0 100644 --- a/models/public/mobilenet-v2-1.0-224/README.md +++ b/models/public/mobilenet-v2-1.0-224/README.md @@ -61,9 +61,9 @@ Shape: `1, 1001`, format: `B, C`, where: - `B` - batch size - `C` - vector of probabilities. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/mobilenet-v2-1.4-224/README.md b/models/public/mobilenet-v2-1.4-224/README.md index cae675113bf..ff2d94b0d11 100644 --- a/models/public/mobilenet-v2-1.4-224/README.md +++ b/models/public/mobilenet-v2-1.4-224/README.md @@ -58,9 +58,9 @@ Probabilities for all dataset classes in [0, 1] range (0 class is background). N - `B` - batch size - `C` - vector of probabilities. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/mobilenet-v2-pytorch/README.md b/models/public/mobilenet-v2-pytorch/README.md index 5bed378e879..b88e571035e 100644 --- a/models/public/mobilenet-v2-pytorch/README.md +++ b/models/public/mobilenet-v2-pytorch/README.md @@ -70,9 +70,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 100 - `B` - batch size - `C` - predicted probabilities for each class in logits format -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/mobilenet-v2/README.md b/models/public/mobilenet-v2/README.md index c43e52a9c21..b5bdf3d2867 100644 --- a/models/public/mobilenet-v2/README.md +++ b/models/public/mobilenet-v2/README.md @@ -61,9 +61,9 @@ Object classifier according to ImageNet classes, name: `prob`, shape: `1, 1000` - `B` - batch size - `C` - predicted probabilities for each class in a range [0, 1] -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/mobilenet-v3-large-1.0-224-tf/README.md b/models/public/mobilenet-v3-large-1.0-224-tf/README.md index 5aaa0de1b57..4e093a4456a 100644 --- a/models/public/mobilenet-v3-large-1.0-224-tf/README.md +++ b/models/public/mobilenet-v3-large-1.0-224-tf/README.md @@ -60,9 +60,9 @@ Object classifier according to ImageNet classes, name - `StatefulPartitionedCall The converted model has the same parameters as the original model. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/mobilenet-v3-small-1.0-224-tf/README.md b/models/public/mobilenet-v3-small-1.0-224-tf/README.md index c510b4b3f6e..fef86bf97cf 100644 --- a/models/public/mobilenet-v3-small-1.0-224-tf/README.md +++ b/models/public/mobilenet-v3-small-1.0-224-tf/README.md @@ -60,9 +60,9 @@ Object classifier according to ImageNet classes, name - `StatefulPartitionedCall The converted model has the same parameters as the original model. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/mobilenet-yolo-v4-syg/README.md b/models/public/mobilenet-yolo-v4-syg/README.md index 248ef851af2..dbcdea6c323 100644 --- a/models/public/mobilenet-yolo-v4-syg/README.md +++ b/models/public/mobilenet-yolo-v4-syg/README.md @@ -85,9 +85,9 @@ Detection box has format [`x`,`y`,`h`,`w`,`box_score`,`class_no_1`, ..., `class_ - `box_score` - confidence of detection box in [0,1] range - `class_no_1`,...,`class_no_4` - probability distribution over the classes in the [0,1] range, multiply by confidence value to get confidence of each class -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/mozilla-deepspeech-0.6.1/README.md b/models/public/mozilla-deepspeech-0.6.1/README.md index fb9a083975b..1dcbc02e47a 100644 --- a/models/public/mozilla-deepspeech-0.6.1/README.md +++ b/models/public/mozilla-deepspeech-0.6.1/README.md @@ -103,9 +103,9 @@ Chunk processing order must be from early to late audio positions. Shapes: `1, 2048`, format: `B, C`. See the corresponding Inputs. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/mozilla-deepspeech-0.8.2/README.md b/models/public/mozilla-deepspeech-0.8.2/README.md index b0c8900371e..42f10fa0c0a 100644 --- a/models/public/mozilla-deepspeech-0.8.2/README.md +++ b/models/public/mozilla-deepspeech-0.8.2/README.md @@ -107,9 +107,9 @@ Chunk processing order must be from early to late audio positions. 3. LSTM output vector, name: `cudnn_lstm/rnn/multi_rnn_cell/cell_0/cudnn_compatible_lstm_cell/BlockLSTM/TensorIterator.1` (for `new_state_h`), shape: `1, 2048`, format: `B, C`. See Inputs. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/mtcnn/README.md b/models/public/mtcnn/README.md index a9c7b01c12d..0f131caf00f 100644 --- a/models/public/mtcnn/README.md +++ b/models/public/mtcnn/README.md @@ -172,9 +172,9 @@ Expected color order: `RGB`. 2. Face location, name - `conv6-2`, contains final clarifications for boxes produced by `mtcnn-p` and refined by `mtcnn-r`. 3. Control points, name - `conv6-3`, contains five facial landmarks: `left eye`, `right eye`, `nose`, `left mouth corner`, `right mouth corner` coordinates for each face region. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/netvlad-tf/README.md b/models/public/netvlad-tf/README.md index cef595ef45d..1b3a41bd492 100644 --- a/models/public/netvlad-tf/README.md +++ b/models/public/netvlad-tf/README.md @@ -63,9 +63,9 @@ Floating point embeddings, name - `vgg16_netvlad_pca/l2_normalize_1`, shape - ` - `B` - batch size - `C` - vector of 4096 floating points values, local image descriptors -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/nfnet-f0/README.md b/models/public/nfnet-f0/README.md index c4714289c59..6fe577232e6 100644 --- a/models/public/nfnet-f0/README.md +++ b/models/public/nfnet-f0/README.md @@ -69,9 +69,9 @@ Object classifier according to ImageNet classes, name - `probs`, shape - `1, 10 - `B` - batch size - `C` - predicted probabilities for each class in logits format -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/ocrnet-hrnet-w48-paddle/README.md b/models/public/ocrnet-hrnet-w48-paddle/README.md index 0c128e300ee..59576bbc5d5 100644 --- a/models/public/ocrnet-hrnet-w48-paddle/README.md +++ b/models/public/ocrnet-hrnet-w48-paddle/README.md @@ -64,9 +64,9 @@ Integer values in a range [0, 18], which represent an index of a predicted class - `H` - image height - `W` - image width -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/octave-resnet-26-0.25/README.md b/models/public/octave-resnet-26-0.25/README.md index 69e0572e323..3f6fe6ae6fb 100644 --- a/models/public/octave-resnet-26-0.25/README.md +++ b/models/public/octave-resnet-26-0.25/README.md @@ -65,9 +65,9 @@ Object classifier according to ImageNet classes, name: `prob`, shape: `1, 1000` - `B` - batch size - `C` - predicted probabilities for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/open-closed-eye-0001/README.md b/models/public/open-closed-eye-0001/README.md index a6203a23363..539d6ed5851 100644 --- a/models/public/open-closed-eye-0001/README.md +++ b/models/public/open-closed-eye-0001/README.md @@ -38,9 +38,9 @@ Expected color order is `BGR`. Name: `19`, shape: `1, 2, 1, 1` - Softmax output across 2 type classes: [open, closed] -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/pelee-coco/README.md b/models/public/pelee-coco/README.md index 0e93dd67191..1b4e1a59f84 100644 --- a/models/public/pelee-coco/README.md +++ b/models/public/pelee-coco/README.md @@ -73,9 +73,9 @@ The array of detection summary info, name - `detection_out`, shape - `1, 1, 200 - (`x_min`, `y_min`) - coordinates of the top left bounding box corner (coordinates are in normalized format, in range [0, 1]) - (`x_max`, `y_max`) - coordinates of the bottom right bounding box corner (coordinates are in normalized format, in range [0, 1]) -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/pspnet-pytorch/README.md b/models/public/pspnet-pytorch/README.md index 8615cda1f2e..7da00e6b8d2 100644 --- a/models/public/pspnet-pytorch/README.md +++ b/models/public/pspnet-pytorch/README.md @@ -64,9 +64,9 @@ Integer values in a range [0, 20], which represent an index of a predicted class - `H` - image height - `W` - image width -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/quartznet-15x5-en/README.md b/models/public/quartznet-15x5-en/README.md index b2d9347dd14..a8929f8edbb 100644 --- a/models/public/quartznet-15x5-en/README.md +++ b/models/public/quartznet-15x5-en/README.md @@ -54,9 +54,9 @@ The alphabet is: 0 = space, 1...26 = "a" to "z", 27 = apostrophe, 28 = CTC blank The converted model has the same parameters as the original model. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/regnetx-3.2gf/README.md b/models/public/regnetx-3.2gf/README.md index 8f6b6521f7d..6de4367f29e 100644 --- a/models/public/regnetx-3.2gf/README.md +++ b/models/public/regnetx-3.2gf/README.md @@ -63,9 +63,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 100 - `B` - batch size - `C` - predicted probabilities for each class in logits format -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/repvgg-a0/README.md b/models/public/repvgg-a0/README.md index b7dc77a2fcf..e480950edb3 100644 --- a/models/public/repvgg-a0/README.md +++ b/models/public/repvgg-a0/README.md @@ -67,9 +67,9 @@ Object classifier according to ImageNet classes, name - `output`, shape - `1, 1 - `B` - batch size - `C` - predicted probabilities for each class in logits format -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/repvgg-b1/README.md b/models/public/repvgg-b1/README.md index 26c8b371bcd..1ee03de4bf5 100644 --- a/models/public/repvgg-b1/README.md +++ b/models/public/repvgg-b1/README.md @@ -67,9 +67,9 @@ Object classifier according to ImageNet classes, name - `output`, shape - `1, 1 - `B` - batch size - `C` - predicted probabilities for each class in logits format -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/repvgg-b3/README.md b/models/public/repvgg-b3/README.md index f6c3d90f856..51820353608 100644 --- a/models/public/repvgg-b3/README.md +++ b/models/public/repvgg-b3/README.md @@ -67,9 +67,9 @@ Object classifier according to ImageNet classes, name - `output`, shape - `1, 1 - `B` - batch size - `C` - predicted probabilities for each class in logits format -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/resnest-50-pytorch/README.md b/models/public/resnest-50-pytorch/README.md index 30cbdb8a338..9ae2ad71a8a 100644 --- a/models/public/resnest-50-pytorch/README.md +++ b/models/public/resnest-50-pytorch/README.md @@ -64,9 +64,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 100 The converted model has the same parameters as the original model. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/resnet-18-pytorch/README.md b/models/public/resnet-18-pytorch/README.md index c926f93301f..4772bd4f1b4 100644 --- a/models/public/resnet-18-pytorch/README.md +++ b/models/public/resnet-18-pytorch/README.md @@ -70,9 +70,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 100 - `B` - batch size - `C` - predicted probabilities for each class in logits format -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/resnet-34-pytorch/README.md b/models/public/resnet-34-pytorch/README.md index f34ac3b45a6..b853a17cab3 100644 --- a/models/public/resnet-34-pytorch/README.md +++ b/models/public/resnet-34-pytorch/README.md @@ -70,9 +70,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 100 - `B` - batch size - `C` - predicted probabilities for each class in logits format -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/resnet-50-pytorch/README.md b/models/public/resnet-50-pytorch/README.md index b065726fb52..ba86bc301b4 100644 --- a/models/public/resnet-50-pytorch/README.md +++ b/models/public/resnet-50-pytorch/README.md @@ -70,9 +70,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 100 - `B` - batch size - `C` - predicted probabilities for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/resnet-50-tf/README.md b/models/public/resnet-50-tf/README.md index 2433e0a91ce..85649fe86a1 100644 --- a/models/public/resnet-50-tf/README.md +++ b/models/public/resnet-50-tf/README.md @@ -74,9 +74,9 @@ Object classifier according to ImageNet classes, name: `softmax_tensor`, shape: - `B` - batch size - `C` - predicted probabilities for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/retinaface-resnet50-pytorch/README.md b/models/public/retinaface-resnet50-pytorch/README.md index 06f8c286aa6..ec81ea8bc05 100644 --- a/models/public/retinaface-resnet50-pytorch/README.md +++ b/models/public/retinaface-resnet50-pytorch/README.md @@ -83,9 +83,9 @@ Facial landmarks have format `[x1, y1, x2, y2, x3, y3, x4, y4, x5, y5]`, where: The converted model has the same outputs as the original model. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/retinanet-tf/README.md b/models/public/retinanet-tf/README.md index 5b89a328d43..616e3e39664 100644 --- a/models/public/retinanet-tf/README.md +++ b/models/public/retinanet-tf/README.md @@ -89,9 +89,9 @@ bounding boxes. For each detection, the description has the format: - (`x_min`, `y_min`) - coordinates of the top left bounding box corner (coordinates stored in normalized format, in range [0, 1]) - (`x_max`, `y_max`) - coordinates of the bottom right bounding box corner (coordinates stored in normalized format, in range [0, 1]) -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/rexnet-v1-x1.0/README.md b/models/public/rexnet-v1-x1.0/README.md index 508d9d728c3..e3528793ef3 100644 --- a/models/public/rexnet-v1-x1.0/README.md +++ b/models/public/rexnet-v1-x1.0/README.md @@ -64,9 +64,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 100 The converted model has the same parameters as the original model. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/rfcn-resnet101-coco-tf/README.md b/models/public/rfcn-resnet101-coco-tf/README.md index 258f8506898..75b5e9fe33f 100644 --- a/models/public/rfcn-resnet101-coco-tf/README.md +++ b/models/public/rfcn-resnet101-coco-tf/README.md @@ -70,9 +70,9 @@ bounding boxes. For each detection, the description has the format: - (`x_min`, `y_min`) - coordinates of the top left bounding box corner (coordinates stored in normalized format, in range [0, 1]) - (`x_max`, `y_max`) - coordinates of the bottom right bounding box corner (coordinates stored in normalized format, in range [0, 1]) -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/se-inception/README.md b/models/public/se-inception/README.md index 75c8fcbe66d..ab38c02d19d 100644 --- a/models/public/se-inception/README.md +++ b/models/public/se-inception/README.md @@ -61,9 +61,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 100 - `B` - batch size - `C` - predicted probabilities for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/se-resnet-50/README.md b/models/public/se-resnet-50/README.md index 676f0b48976..a6f90b2682a 100644 --- a/models/public/se-resnet-50/README.md +++ b/models/public/se-resnet-50/README.md @@ -61,9 +61,9 @@ Object classifier according to ImageNet classes, name: `prob`, shape: `1, 1000` - `B` - batch size - `C` - predicted probabilities for each class in the range [0, 1] -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/se-resnext-50/README.md b/models/public/se-resnext-50/README.md index 5171a8a2776..47e2e948179 100644 --- a/models/public/se-resnext-50/README.md +++ b/models/public/se-resnext-50/README.md @@ -61,9 +61,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 100 - `B` - batch size - `C` - predicted probabilities for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/shufflenet-v2-x0.5/README.md b/models/public/shufflenet-v2-x0.5/README.md index b2f1580b8ee..d5cb474d75c 100644 --- a/models/public/shufflenet-v2-x0.5/README.md +++ b/models/public/shufflenet-v2-x0.5/README.md @@ -62,9 +62,9 @@ Object classifier according to ImageNet classes, name - `fc`, shape - `1, 1000` The converted model has the same parameters as the original model. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/shufflenet-v2-x1.0/README.md b/models/public/shufflenet-v2-x1.0/README.md index 2d0fef3e377..663bdd22d13 100644 --- a/models/public/shufflenet-v2-x1.0/README.md +++ b/models/public/shufflenet-v2-x1.0/README.md @@ -62,9 +62,9 @@ Object classifier according to ImageNet classes, name - `output`, shape - `1, 1 The converted model has the same parameters as the original model. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/single-human-pose-estimation-0001/README.md b/models/public/single-human-pose-estimation-0001/README.md index bca31d866d1..7b36be6097e 100644 --- a/models/public/single-human-pose-estimation-0001/README.md +++ b/models/public/single-human-pose-estimation-0001/README.md @@ -47,9 +47,9 @@ The net outputs list of tensor. Count of list elements is 6. Every tensor with s The net output is a tensor with name `heatmaps` and shape `1, 17, 48, 36`. (For every keypoint own heatmap) -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/squeezenet1.0/README.md b/models/public/squeezenet1.0/README.md index 8075b2ed4c0..97c8b30451b 100644 --- a/models/public/squeezenet1.0/README.md +++ b/models/public/squeezenet1.0/README.md @@ -65,9 +65,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 1000 - `B` - batch size - `C` - predicted probabilities for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/squeezenet1.1/README.md b/models/public/squeezenet1.1/README.md index 0a602a93d15..c07d71ace3a 100644 --- a/models/public/squeezenet1.1/README.md +++ b/models/public/squeezenet1.1/README.md @@ -65,9 +65,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 1000 - `B` - batch size - `C` - predicted probabilities for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/ssd-resnet34-1200-onnx/README.md b/models/public/ssd-resnet34-1200-onnx/README.md index 6a759dbb869..858cac47c03 100644 --- a/models/public/ssd-resnet34-1200-onnx/README.md +++ b/models/public/ssd-resnet34-1200-onnx/README.md @@ -62,9 +62,9 @@ Channel order is `BGR`. 2. Probability, shape - `1, 200`, contains confidence of each detected bounding boxes. 3. Detection boxes, shape - `1, 200, 4`, contains detection boxes coordinates in format `[y_min, x_min, y_max, x_max]`, where (`x_min`, `y_min`) are coordinates top left corner, (`x_max`, `y_max`) are coordinates right bottom corner. Coordinates are in normalized format, in range [0, 1]. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/ssd300/README.md b/models/public/ssd300/README.md index 3055be8d0cb..780c78eab65 100644 --- a/models/public/ssd300/README.md +++ b/models/public/ssd300/README.md @@ -83,9 +83,9 @@ The array of detection summary info, name - `detection_out`, shape - `1, 1, 200, - (`x_min`, `y_min`) - coordinates of the top left bounding box corner (coordinates are in normalized format, in range [0, 1]) - (`x_max`, `y_max`) - coordinates of the bottom right bounding box corner (coordinates are in normalized format, in range [0, 1]) -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/ssd512/README.md b/models/public/ssd512/README.md index e49c2c180b4..275ece513c3 100644 --- a/models/public/ssd512/README.md +++ b/models/public/ssd512/README.md @@ -83,9 +83,9 @@ The array of detection summary info, name - `detection_out`, shape - `1, 1, 200, - (`x_min`, `y_min`) - coordinates of the top left bounding box corner (coordinates are in normalized format, in range [0, 1]) - (`x_max`, `y_max`) - coordinates of the bottom right bounding box corner (coordinates are in normalized format, in range [0, 1]) -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/ssd_mobilenet_v1_coco/README.md b/models/public/ssd_mobilenet_v1_coco/README.md index 2d7a7da9249..03cdb32bd95 100644 --- a/models/public/ssd_mobilenet_v1_coco/README.md +++ b/models/public/ssd_mobilenet_v1_coco/README.md @@ -64,9 +64,9 @@ bounding boxes. For each detection, the description has the format: - (`x_min`, `y_min`) - coordinates of the top left bounding box corner (coordinates stored in normalized format, in range [0, 1]) - (`x_max`, `y_max`) - coordinates of the bottom right bounding box corner (coordinates stored in normalized format, in range [0, 1]) -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/ssd_mobilenet_v1_fpn_coco/README.md b/models/public/ssd_mobilenet_v1_fpn_coco/README.md index ac5322bec7f..fe139c9009a 100644 --- a/models/public/ssd_mobilenet_v1_fpn_coco/README.md +++ b/models/public/ssd_mobilenet_v1_fpn_coco/README.md @@ -66,9 +66,9 @@ For each detection, the description has the format: - (`x_min`, `y_min`) - coordinates of the top left bounding box corner (coordinates stored in normalized format, in range [0, 1]) - (`x_max`, `y_max`) - coordinates of the bottom right bounding box corner (coordinates stored in normalized format, in range [0, 1]) -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/ssdlite_mobilenet_v2/README.md b/models/public/ssdlite_mobilenet_v2/README.md index b0a8c222005..19bffdff5c5 100644 --- a/models/public/ssdlite_mobilenet_v2/README.md +++ b/models/public/ssdlite_mobilenet_v2/README.md @@ -64,9 +64,9 @@ bounding boxes. For each detection, the description has the format: - (`x_min`, `y_min`) - coordinates of the top left bounding box corner (coordinates are stored in a normalized format, in a range [0, 1]) - (`x_max`, `y_max`) - coordinates of the bottom right bounding box corner (coordinates are stored in a normalized format, in a range [0, 1]) -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/swin-tiny-patch4-window7-224/README.md b/models/public/swin-tiny-patch4-window7-224/README.md index e3baa24dab9..c705de4c0bf 100644 --- a/models/public/swin-tiny-patch4-window7-224/README.md +++ b/models/public/swin-tiny-patch4-window7-224/README.md @@ -63,9 +63,9 @@ Object classifier according to ImageNet classes, name: `probs`, shape: `1, 1000 - `B` - batch size - `C` - predicted probabilities for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/t2t-vit-14/README.md b/models/public/t2t-vit-14/README.md index c9ce2ac4c7d..8416fe55882 100644 --- a/models/public/t2t-vit-14/README.md +++ b/models/public/t2t-vit-14/README.md @@ -63,9 +63,9 @@ Object classifier according to ImageNet classes, name: `probs`, shape: `1, 1000 - `B` - batch size - `C` - vector of probabilities for all dataset classes in logits format -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/ultra-lightweight-face-detection-rfb-320/README.md b/models/public/ultra-lightweight-face-detection-rfb-320/README.md index 19eba9438dc..cf0e53ff47e 100644 --- a/models/public/ultra-lightweight-face-detection-rfb-320/README.md +++ b/models/public/ultra-lightweight-face-detection-rfb-320/README.md @@ -79,9 +79,9 @@ Expected color order is `BGR`. 2. Scores, name: `scores`, shape - `1, 4420, 2`. Contains scores for 2 classes - the first is background, the second is face. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/ultra-lightweight-face-detection-slim-320/README.md b/models/public/ultra-lightweight-face-detection-slim-320/README.md index 5e9b7626a70..38103ae1d2e 100644 --- a/models/public/ultra-lightweight-face-detection-slim-320/README.md +++ b/models/public/ultra-lightweight-face-detection-slim-320/README.md @@ -79,9 +79,9 @@ Expected color order is `BGR`. 2. Scores, name: `scores`, shape - `1, 4420, 2`. Contains scores for 2 classes - the first is background, the second is face. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/vehicle-license-plate-detection-barrier-0123/README.md b/models/public/vehicle-license-plate-detection-barrier-0123/README.md index b74d08ab74a..cc1764dd600 100644 --- a/models/public/vehicle-license-plate-detection-barrier-0123/README.md +++ b/models/public/vehicle-license-plate-detection-barrier-0123/README.md @@ -77,9 +77,9 @@ bounding boxes. For each detection, the description has the format: - (`x_min`, `y_min`) - coordinates of the top left bounding box corner - (`x_max`, `y_max`) - coordinates of the bottom right bounding box corner. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/vehicle-reid-0001/README.md b/models/public/vehicle-reid-0001/README.md index 6e2fc4aaf6c..bde6bb5dafb 100644 --- a/models/public/vehicle-reid-0001/README.md +++ b/models/public/vehicle-reid-0001/README.md @@ -70,9 +70,9 @@ Blob of the shape `1, 512` in the `B, C` format, where: - `B` - batch size - `C` - predicted descriptor size -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/vgg16/README.md b/models/public/vgg16/README.md index 0a3fea1299c..5712762d1e2 100644 --- a/models/public/vgg16/README.md +++ b/models/public/vgg16/README.md @@ -65,9 +65,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 1000 - `B` - batch size - `C` - predicted probabilities for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/vgg19/README.md b/models/public/vgg19/README.md index 347874ecab5..afa31a44946 100644 --- a/models/public/vgg19/README.md +++ b/models/public/vgg19/README.md @@ -65,9 +65,9 @@ Object classifier according to ImageNet classes, name - `prob`, shape - `1, 1000 - `B` - batch size - `C` - predicted probabilities for each class in [0, 1] range -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/vitstr-small-patch16-224/README.md b/models/public/vitstr-small-patch16-224/README.md index c12039e8b98..972fabd6d8a 100644 --- a/models/public/vitstr-small-patch16-224/README.md +++ b/models/public/vitstr-small-patch16-224/README.md @@ -75,9 +75,9 @@ Output tensor, name: `logits`, shape: `1, 25, 96` in the format `B, W, L`, where The network output decoding process is pretty easy: get the argmax on `L` dimension, transform indices to letters and slice the resulting phrase on the first entry of `end-of-sequence` symbol. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/wav2vec2-base/README.md b/models/public/wav2vec2-base/README.md index f3a5afc0fe0..b1e7a25ec56 100644 --- a/models/public/wav2vec2-base/README.md +++ b/models/public/wav2vec2-base/README.md @@ -61,9 +61,9 @@ Model alphabet: "[pad]", "[s]", "[/s]", "[unk]", "|", "E", "T", "A", "O", "N", " The converted model has the same parameters as the original model. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/wavernn/README.md b/models/public/wavernn/README.md index 7606a21daba..f9743df0e7b 100644 --- a/models/public/wavernn/README.md +++ b/models/public/wavernn/README.md @@ -109,9 +109,9 @@ Note: `B` - batch size. Note: `B` - batch size. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/yolact-resnet50-fpn-pytorch/README.md b/models/public/yolact-resnet50-fpn-pytorch/README.md index 9750fa44d20..d120a9e6b2f 100644 --- a/models/public/yolact-resnet50-fpn-pytorch/README.md +++ b/models/public/yolact-resnet50-fpn-pytorch/README.md @@ -80,9 +80,9 @@ Final mask prediction can be obtained by matrix multiplication of `proto` and tr Converted model outputs are the same as in the original model. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/yolo-v1-tiny-tf/README.md b/models/public/yolo-v1-tiny-tf/README.md index 89dae5ca57d..7a830d6a4f2 100644 --- a/models/public/yolo-v1-tiny-tf/README.md +++ b/models/public/yolo-v1-tiny-tf/README.md @@ -118,9 +118,9 @@ Mapping to class names provided by `/data/dataset_classes/voc_20cl.txt` The anchor values are `1.08,1.19, 3.42,4.41, 6.63,11.38, 9.42,5.11, 16.62,10.52`. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/yolo-v2-tf/README.md b/models/public/yolo-v2-tf/README.md index fc06437aed9..95f0a7897c2 100644 --- a/models/public/yolo-v2-tf/README.md +++ b/models/public/yolo-v2-tf/README.md @@ -104,9 +104,9 @@ Detection box has format [`x`, `y`, `h`, `w`, `box_score`, `class_no_1`, ..., `c The model was trained on [Common Objects in Context (COCO)](https://cocodataset.org/#home) dataset version with 80 categories of object. Mapping to class names provided in `/data/dataset_classes/coco_80cl.txt` file. The anchor values are `0.57273,0.677385, 1.87446,2.06253, 3.33843,5.47434, 7.88282,3.52778, 9.77052,9.16828`. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/yolo-v2-tiny-tf/README.md b/models/public/yolo-v2-tiny-tf/README.md index 55d4968addc..5d5e3209a88 100644 --- a/models/public/yolo-v2-tiny-tf/README.md +++ b/models/public/yolo-v2-tiny-tf/README.md @@ -85,9 +85,9 @@ Detection box has format [`x`, `y`, `h`, `w`, `box_score`, `class_no_1`, ..., `c The model was trained on [Common Objects in Context (COCO)](https://cocodataset.org/#home) dataset version with 80 categories of object. Mapping to class names provided in `/data/dataset_classes/coco_80cl.txt` file. The anchor values are `0.57273,0.677385, 1.87446,2.06253, 3.33843,5.47434, 7.88282,3.52778, 9.77052,9.16828`. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/yolo-v3-onnx/README.md b/models/public/yolo-v3-onnx/README.md index 1b0e13b620a..feb71bc1d23 100644 --- a/models/public/yolo-v3-onnx/README.md +++ b/models/public/yolo-v3-onnx/README.md @@ -109,9 +109,9 @@ Each index has format [`b_idx`, `cls_idx`, `box_idx`], where: The model was trained on [Common Objects in Context (COCO)](https://cocodataset.org/#home) dataset version with 80 categories of object. Mapping to class names provided in `/data/dataset_classes/coco_80cl.txt` file. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/yolo-v3-tf/README.md b/models/public/yolo-v3-tf/README.md index d587a3babf4..85f69b2466f 100644 --- a/models/public/yolo-v3-tf/README.md +++ b/models/public/yolo-v3-tf/README.md @@ -114,9 +114,9 @@ Detection box has format [`x`, `y`, `h`, `w`, `box_score`, `class_no_1`, ..., `c The model was trained on [Common Objects in Context (COCO)](https://cocodataset.org/#home) dataset version with 80 categories of object. Mapping to class names provided in `/data/dataset_classes/coco_80cl.txt` file. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/yolo-v3-tiny-onnx/README.md b/models/public/yolo-v3-tiny-onnx/README.md index 981dfd1306e..746b287b345 100644 --- a/models/public/yolo-v3-tiny-onnx/README.md +++ b/models/public/yolo-v3-tiny-onnx/README.md @@ -109,9 +109,9 @@ Each index has format [`b_idx`, `cls_idx`, `box_idx`], where: The model was trained on [Common Objects in Context (COCO)](https://cocodataset.org/#home) dataset version with 80 categories of object. Mapping to class names provided in `/data/dataset_classes/coco_80cl.txt` file. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/yolo-v3-tiny-tf/README.md b/models/public/yolo-v3-tiny-tf/README.md index 14aeae725bf..e9818fb0276 100644 --- a/models/public/yolo-v3-tiny-tf/README.md +++ b/models/public/yolo-v3-tiny-tf/README.md @@ -110,9 +110,9 @@ Detection box has format [`x`, `y`, `h`, `w`, `box_score`, `class_no_1`, ..., `c The model was trained on [Common Objects in Context (COCO)](https://cocodataset.org/#home) dataset version with 80 categories of object. Mapping to class names provided in `/data/dataset_classes/coco_80cl.txt` file. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/yolo-v4-tf/README.md b/models/public/yolo-v4-tf/README.md index d08fe4fe0bb..8e92d4009c3 100644 --- a/models/public/yolo-v4-tf/README.md +++ b/models/public/yolo-v4-tf/README.md @@ -96,9 +96,9 @@ Detection box has format [`x`, `y`, `h`, `w`, `box_score`, `class_no_1`, ..., `c The model was trained on [Common Objects in Context (COCO)](https://cocodataset.org/#home) dataset version with 80 categories of object. Mapping to class names provided in `/data/dataset_classes/coco_80cl.txt` file. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/yolo-v4-tiny-tf/README.md b/models/public/yolo-v4-tiny-tf/README.md index c851b91f659..e86ed42d783 100644 --- a/models/public/yolo-v4-tiny-tf/README.md +++ b/models/public/yolo-v4-tiny-tf/README.md @@ -92,9 +92,9 @@ Detection box has format [`x`, `y`, `h`, `w`, `box_score`, `class_no_1`, ..., `c The model was trained on [Common Objects in Context (COCO)](https://cocodataset.org/#home) dataset version with 80 categories of object. Mapping to class names provided in `/data/dataset_classes/coco_80cl.txt` file. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/yolof/README.md b/models/public/yolof/README.md index f0545e2b9a9..7696ff87d78 100644 --- a/models/public/yolof/README.md +++ b/models/public/yolof/README.md @@ -79,9 +79,9 @@ Detection box has format [`x`, `y`, `h`, `w`, `class_id_1`, ..., `class_id_80`], - `class_id_1`,...,`class_id_80` - probability distribution over the classes in logits format, apply [sigmoid function](https://en.wikipedia.org/wiki/Sigmoid_function) to get confidence of each class -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/models/public/yolox-tiny/README.md b/models/public/yolox-tiny/README.md index 019fa69e411..c8e52844cd6 100644 --- a/models/public/yolox-tiny/README.md +++ b/models/public/yolox-tiny/README.md @@ -86,9 +86,9 @@ Detection box has format [`x`, `y`, `h`, `w`, `box_score`, `class_no_1`, ..., `c The model was trained on [Common Objects in Context (COCO)](https://cocodataset.org/#home) dataset version with 80 categories of object. Mapping to class names provided in `/data/dataset_classes/coco_80cl.txt` file. -## Download a Model and Convert it into Inference Engine Format +## Download a Model and Convert it into OpenVINO™ IR Format -You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. +You can download models and if necessary convert them into OpenVINO™ IR format using the [Model Downloader and other automation tools](../../../tools/model_tools/README.md) as shown in the examples below. An example of using the Model Downloader: ``` diff --git a/tools/accuracy_checker/README.md b/tools/accuracy_checker/README.md index 87f7dd885e6..6bea169b181 100644 --- a/tools/accuracy_checker/README.md +++ b/tools/accuracy_checker/README.md @@ -17,7 +17,7 @@ Install prerequisites first: #### 1. Python -**accuracy checker** uses **Python 3**. Install it first: +**Accuracy Checker** uses **Python 3**. Install it first: - [Python3](https://www.python.org/downloads/), [setuptools](https://pypi.org/project/setuptools/): @@ -25,22 +25,22 @@ Install prerequisites first: sudo apt-get install python3 python3-dev python3-setuptools python3-pip ``` -Python setuptools and python package manager (pip) install packages into system directory by default. Installation of accuracy checker tested only via [virtual environment](https://docs.python.org/3/tutorial/venv.html). +Python\* setuptools and Python\* package manager (pip) install packages into system directory by default. Installation of Accuracy Checker is tested only via [virtual environment](https://docs.python.org/3/tutorial/venv.html). -In order to use virtual environment you should install it first: +Install the virtual environment: ```bash python3 -m pip install virtualenv python3 -m virtualenv -p `which python3` ``` -Before starting to work inside virtual environment, it should be activated: +Activate the virtual environment: ```bash source /bin/activate ``` -Virtual environment can be deactivated using command +Virtual environment can be deactivated using the following command: ```bash deactivate @@ -50,7 +50,7 @@ deactivate The next step is installing backend frameworks for Accuracy Checker. -In order to evaluate some models required frameworks have to be installed. Accuracy-Checker supports these frameworks: +To evaluate some models, you need to install the required frameworks. Accuracy Checker supports the following frameworks: - [OpenVINO](https://software.intel.com/en-us/openvino-toolkit/documentation/get-started). - [Caffe](https://caffe.berkeleyvision.org/installation.html). @@ -61,37 +61,36 @@ In order to evaluate some models required frameworks have to be installed. Accur - [PyTorch](https://pytorch.org/) - [PaddlePaddle](https://www.paddlepaddle.org.cn/documentation/docs/en/guides/index_en.html) -You can use any of them or several at a time. For correct work, Accuracy Checker requires at least one. You are able postpone installation of other frameworks and install them when they will be necessary. +You can use any of them or several at a time. For correct work, Accuracy Checker requires at least one. You can postpone installation of other frameworks and install them when they will be necessary. -### Install accuracy checker +### Install Accuracy Checker -If all prerequisite are installed, then you are ready to install **accuracy checker**: +If all prerequisite are installed, then you are ready to install **Accuracy Checker**: ```bash python3 setup.py install ``` -Accuracy Checker is modular tool and have some task-specific dependencies, all specific required modules can be found in `requirements.in` file. -You can install only core part of the tool without additional dependencies and manage them by your-self using following command instead of standard installation: +Accuracy Checker is a modular tool and have some task-specific dependencies, all specific required modules can be found in `requirements.in` file. +Instead of the standard installation, you can install only the core part of the tool without additional dependencies and manage them by yourself using the following command: ```bash python setup.py install_core ``` -#### Troubleshooting during installation +#### Installation Troubleshooting -When previous version of the tool already installed in the environment, in some cases, it can broke new installation. -If you see the error about directory/file not found, please try remove manually old tool version from your environment or install the tool with following command (in accuracy checker directory, instead of setup.py install): +When previous version of the tool is already installed in the environment, in some cases, it can broke the new installation. +If you get a directory/file not found error, try manually removing the previous tool version from your environment or install the tool using following command in Accuracy Checker directory instead of setup.py install: ```bash pip install --upgrade --force-reinstall . ``` -#### Running the tool inside IDE for development purposes +#### Running the Tool inside IDE for Development Purposes -Accuracy Checker tool has entry point for running in CLI, however majority of popular code editors or IDE expects scripts as starting point of application. -Sometimes it can be useful to have opportunity to run the tool as script for debugging or enabling new models. -For usage Accuracy Checker inside the IDE, you need to create a script in accuracy_checker root directory (e.g. `/tools/accuracy_checker/main.py`) -with following code: +Accuracy Checker tool has an entry point for running in CLI, however, the majority of popular code editors or integrated development environments (IDEs) expect scripts as the starting point of application. +Sometimes it can be useful to run the tool as a script for debugging or enabling new models. +To use Accuracy Checker inside the IDE, you need to create a script in accuracy_checker root directory, for example, `/tools/accuracy_checker/main.py`, with the following code: ```python from openvino.tools.accuracy_checker.main import main @@ -99,24 +98,24 @@ if __name__ == '__main__': main() ``` -Now, you can use this script for running in IDE. +Now, you can use this script for running Accuracy Checker in IDE. #### Usage -You may test your installation and get familiar with accuracy checker by running [sample](sample/README.md). +You may test your installation and get familiar with Accuracy Checker by running a [sample](sample/README.md). -Each Open Model Zoo model can be evaluated using a configuration file. Please refer to [How to use predefined configuration files](configs/README.md) guide. +Each Open Model Zoo model can be evaluated using a configuration file. To learn more, refer to [How to use predefined configuration files](configs/README.md) guide. -Once you installed accuracy checker you can evaluate your configurations with: +Once you installed accuracy checker, you can evaluate your configurations using: ```bash accuracy_check -c path/to/configuration_file -m /path/to/models -s /path/to/source/data -a /path/to/annotation ``` -You may refer to `-h, --help` to full list of command line options. Some arguments are: +Use `-h, --help` to get the full list of command-line options. Some arguments are described below: - `-c, --config` path to configuration file. -- `-m, --models` specifies directory in which models and weights declared in config file will be searched. You also can specify space separated list of directories if you want to run the same configuration several times with models located in different directories or if you have the pipeline with several models. +- `-m, --models` specifies directory in which models and weights declared in config file will be searched. You can also specify space-separated list of directories if you want to run the same configuration several times with models located in different directories or if you have the pipeline with several models. - `-s, --source` specifies directory in which input images will be searched. - `-a, --annotations` specifies directory in which annotation and meta files will be searched. - `-d, --definitions` path to the global configuration file. @@ -124,15 +123,15 @@ You may refer to `-h, --help` to full list of command line options. Some argumen - `-C, '--converted_models` directory to store Model Optimizer converted models (used for DLSDK launcher only). - `-tf, --target_framework` framework for infer. - `-td, --target_devices` devices for infer. You can specify several devices using space as a delimiter. -- `--async_mode` allows run the tool in async mode if launcher support it. +- `--async_mode` allows run the tool in async mode if launcher supports it. - `--num_requests` number requests for async execution. Allows override provided in config info. Default is `AUTO` - `--model_attributes` directory with additional models attributes. - `--subsample_size` dataset subsample size. - `--shuffle` allows shuffle annotation during creation a subset if subsample_size argument is provided. Default is `True`. - `--intermediate_metrics_results` enables intermediate metrics results printing. Default is `False` -- `--metrics_interval` number of iteration for updated metrics result printing if `--intermediate_metrics_results` flag enabled. Default is 1000. +- `--metrics_interval` number of iterations for updated metrics result printing if `--intermediate_metrics_results` flag enabled. Default is 1000. -You are also able to replace some command line arguments with environment variables for path prefixing. Supported following list of variables: +You are also able to replace some command-line arguments with the environment variables for path prefixing. Supported list of variables includes: * `DEFINITIONS_FILE` - equivalent of `-d`, `-definitions`. * `DATA_DIR` - equivalent of `-s`, `--source`. * `MODELS_DIR` - equivalent of `-m`, `--models`. @@ -142,14 +141,14 @@ You are also able to replace some command line arguments with environment variab #### Configuration -There is config file which declares validation process. -Every validated model has to have its entry in `models` list +There is a config file, which declares the validation process. +Every validated model has to have its entry in the `models` list with distinct `name` and other properties described below. -There is also definitions file, which declares global options shared across all models. +There is also a definitions file, which declares global options shared across all models. Config file has priority over definitions file. -example: +Example: ```yaml models: @@ -174,7 +173,6 @@ Launcher is a description of how your model should be executed. Each launcher configuration starts with setting `framework` name. Currently *caffe*, *dlsdk*, *mxnet*, *tf*, *tf2*, *tf_lite*, *opencv*, *onnx_runtime*, *pytorch*, *paddlepaddle* supported. Launcher description can have differences. -Please view: - [How to configure Caffe launcher](openvino/tools/accuracy_checker/launcher/caffe_launcher_readme.md) - [How to configure OpenVINO launcher](openvino/tools/accuracy_checker/launcher/dlsdk_launcher_readme.md) @@ -190,7 +188,7 @@ Please view: ### Datasets -Dataset entry describes data on which model should be evaluated, +Dataset entry describes the data on which model should be evaluated, all required preprocessing and postprocessing/filtering steps, and metrics that will be used for evaluation. @@ -198,23 +196,23 @@ If your dataset data is a well-known competition problem (COCO, Pascal VOC, and it is reasonable to declare it in some global configuration file (`/data/dataset_definitions.yml`). This way in your local configuration file you can provide only `name` and all required steps will be picked from global one. To pass path to this global configuration use `--definition` argument of CLI. -If you want to evaluate models using prepared config files and well-known datasets, you need to organize folders with validation datasets in a certain way. More detailed information about dataset preparation you can find in [Dataset Preparation Guide](../../data/datasets.md). +If you want to evaluate models using prepared config files and well-known datasets, you need to organize folders with validation datasets in a certain way. Find more detailed information about dataset preparation in [Dataset Preparation Guide](../../data/datasets.md). Each dataset must have: - `name` - unique identifier of your model/topology. -- `data_source`: path to directory where input data is stored. -- `metrics`: list of metrics that should be computed. +- `data_source` - path to directory where input data is stored. +- `metrics` - list of metrics that should be computed. And optionally: -- `preprocessing`: list of preprocessing steps applied to input data. If you want calculated metrics to match reported, you must reproduce preprocessing from canonical paper of your topology or ask topology author about required steps. -- `postprocessing`: list of postprocessing steps. -- `reader`: approach for data reading. Default reader is `opencv_imread`. +- `preprocessing` - list of preprocessing steps applied to input data. If you want calculated metrics to match reported, you must reproduce preprocessing from canonical paper of your topology or ask topology author about required steps. +- `postprocessing` - list of postprocessing steps. +- `reader` - approach for data reading. Default reader is `opencv_imread`. - `segmentation_masks_source` - path to directory where gt masks for semantic segmentation task stored. Also it must contain data related to annotation. You can convert annotation in-place using: -- `annotation_conversion`: parameters for annotation conversion +- `annotation_conversion` - parameters for annotation conversion or use existing annotation file and dataset meta: @@ -222,7 +220,7 @@ or use existing annotation file and dataset meta: - `dataset_meta`: path to metadata file (generated by converter). More detailed information about annotation conversion you can find in [Annotation Conversion Guide](openvino/tools/accuracy_checker/annotation_converters/README.md). -example of dataset definition: +Example of dataset definition: ```yaml - name: dataset_name @@ -247,11 +245,11 @@ example of dataset definition: ### Preprocessing, Metrics, Postprocessing -Each entry of preprocessing, metrics, postprocessing must have a `type` field, -with other options are specific to the type. If you do not provide any other option, then it +Each entry of preprocessing, metrics, postprocessing must have a `type` field +with other options specific to the type. If you do not provide any other option, it will be picked from the *definitions* file. -You can find useful following instructions: +You can use the following instructions: - [How to convert annotations](openvino/tools/accuracy_checker/annotation_converters/README.md) - [How to use preprocessing](openvino/tools/accuracy_checker/preprocessor/README.md) @@ -260,11 +258,11 @@ You can find useful following instructions: - [How to use readers](openvino/tools/accuracy_checker/data_readers/README.md) You may optionally provide `reference` field for metric, if you want the calculated metric -tested against a specific value (i.e. reported in canonical paper). +tested against a specific value (reported in canonical paper). -Some metrics support providing vector results ( e. g. mAP is able to return average precision for each detection class). You can change view mode for metric results using `presenter` (e.g. `print_vector`, `print_scalar`). +Some metrics support providing vector results, for example, mAP is able to return average precision for each detection class. You can change view mode for metric results using `presenter` (for example, `print_vector`, `print_scalar`). -example: +Example: ```yaml metrics: @@ -274,7 +272,7 @@ metrics: threshold: 0.005 ``` -### Testing new models +### Testing New Models Typical workflow for testing a new model includes: @@ -286,5 +284,5 @@ Typical workflow for testing a new model includes: ### Customizing Evaluation Standard Accuracy Checker validation pipeline: Annotation Reading -> Data Reading -> Preprocessing -> Inference -> Postprocessing -> Metrics. -In some cases it can be unsuitable (e.g. if you have sequence of models). You are able to customize validation pipeline using own evaluator. -More details about custom evaluations can be found in the [related section](openvino/tools/accuracy_checker/evaluators/custom_evaluators/README.md). +In some cases, this validation pipeline can be unsuitable, for example, when you have a sequence of models. You can customize validation pipeline using your own evaluator. +Find more details about custom evaluations in the [related section](openvino/tools/accuracy_checker/evaluators/custom_evaluators/README.md). diff --git a/tools/model_tools/README.md b/tools/model_tools/README.md index 4889a4370c1..ed490b4f25a 100644 --- a/tools/model_tools/README.md +++ b/tools/model_tools/README.md @@ -1,21 +1,23 @@ # Model Downloader and other automation tools -This directory contains scripts that automate certain model-related tasks +Open Model Zoo automation tools contain scripts that automate certain model-related tasks based on configuration files in the models' directories. -* `downloader.py` (model downloader) downloads model files from online sources +* Model Downloader: `omz_downloader` downloads model files from online sources and, if necessary, patches them to make them more usable with Model Optimizer; -* `converter.py` (model converter) converts the models that are not in the - Inference Engine IR format into that format using Model Optimizer. +* Model Converter: `omz_converter` converts the models that are not in the + OpenVINO™ IR format into that format using Model Optimizer. -* `quantizer.py` (model quantizer) quantizes full-precision models in the IR +* Model Quantizer: `omz_quantizer` quantizes full-precision models in the IR format into low-precision versions using Post-Training Optimization Toolkit. -* `info_dumper.py` (model information dumper) prints information about the models +* Model Information Dumper: `omz_info_dumper` prints information about the models in a stable machine-readable format. +* Datasets' Data Downloader: `omz_data_downloader` copies datasets' data from installed location. + Please use these tools instead of attempting to parse the configuration files directly. Their format is undocumented and may change in incompatible ways in future releases. @@ -29,17 +31,19 @@ future releases. ## Installation -Model Downloader and other automation tools can be installed as a part of OpenVINO™ toolkit or from source. -Installation from source is as follows: +Model Downloader and other automation tools can be installed as part of the OpenVINO™ Development Tools Python package or from source if you need the latest changes. +To install the tools from the package, go to the [OpenVINO™ Development Tools PyPI page] (https://pypi.org/project/openvino-dev/) and follow the instructions. + +To install the tools from source: 1. Install Python (version 3.6 or higher), [setuptools](https://pypi.org/project/setuptools/): -2. Install [openvino-dev](https://pypi.org/project/openvino-dev/) python package of the corresponding version: +2. Install [openvino-dev](https://pypi.org/project/openvino-dev/) Python\* package to obtain Model Optimizer and Post-Training Optimization Toolkit: ```sh -pip install openvino-dev[caffe,onnx,tensorflow2,pytorch,mxnet] +pip install openvino-dev ``` -> **NOTE**: For example, if you are using OMZ Tools for 2021.4.2 then install openvino-dev==2021.4.2. +> **NOTE**: openvino-dev version should be the same as OMZ Tools. For example, if you are using OMZ Tools for 2021.4.2 then install openvino-dev==2021.4.2. 2. Install the tools with the following command: @@ -240,7 +244,7 @@ The basic usage is to run the script like this: omz_converter --all ``` -This will convert all models into the Inference Engine IR format. Models that +This will convert all models into the OpenVINO™ IR format. Models that were originally in that format are ignored. Models in PyTorch format will be converted in ONNX format first. @@ -443,13 +447,13 @@ describing a single model. Each such object has the following keys: * `description`: text describing the model. Paragraphs are separated by line feed characters. * `framework`: a string identifying the framework whose format the model is downloaded in. - Current possible values are `dldt` (Inference Engine IR), `caffe`, `mxnet`, `onnx`, + Current possible values are `dldt` (OpenVINO™ IR), `caffe`, `mxnet`, `onnx`, `pytorch` and `tf` (TensorFlow). Additional possible values might be added in the future. * `license_url`: an URL for the license that the model is distributed under. * `precisions`: the list of precisions that the model has IR files for. For models downloaded - in a format other than the Inference Engine IR format, these are the precisions that the model + in a format other than the OpenVINO™ IR format, these are the precisions that the model converter can produce IR files in. Current possible values are: * `FP16` @@ -504,6 +508,9 @@ describing a single model. Each such object has the following keys: Additional possible values might be added in the future. +* `model_stages`: the list of model stages, in case if the model is a composition of several models, + otherwise the list is empty. + ## Shared options The are certain options that all tools accept.