diff --git a/documentation/asciidoc/accessories/ai-camera/getting-started.adoc b/documentation/asciidoc/accessories/ai-camera/getting-started.adoc index 82108cd6c..07d7812a5 100644 --- a/documentation/asciidoc/accessories/ai-camera/getting-started.adoc +++ b/documentation/asciidoc/accessories/ai-camera/getting-started.adoc @@ -126,7 +126,7 @@ Run the following script from the repository to run YOLOv8 object detection: [source,console] ---- -$ python imx500_object_detection_demo.py --model /usr/share/imx500-models/imx500_network_yolov8n_pp.rpk --ignore-dash-labels -r +$ python imx500_object_detection_demo.py --model /usr/share/imx500-models/imx500_network_ssd_mobilenetv2_fpnlite_320x320_pp.rpk ---- To try pose estimation in Picamera2, run the following script from the repository: diff --git a/documentation/asciidoc/accessories/ai-camera/model-conversion.adoc b/documentation/asciidoc/accessories/ai-camera/model-conversion.adoc index 0b95f8789..f6cd7e76b 100644 --- a/documentation/asciidoc/accessories/ai-camera/model-conversion.adoc +++ b/documentation/asciidoc/accessories/ai-camera/model-conversion.adoc @@ -94,7 +94,7 @@ To package the model into an RPK file, run the following command: [source,console] ---- -$ imx500-package.sh -i -o +$ imx500-package -i -o ---- This command should create a file named `network.rpk` in the output folder. You'll pass the name of this file to your IMX500 camera applications.