Release v0.3.1
chuneuny-emily
released this
07 Sep 05:27
·
729 commits
to develop
since this release
Added
- Support for custom media types, new
PointCloud
media type,DatasetItem.media
and.media_as(type)
members (#539) - [API] A way to request dataset and extractor media type with
media_type
(#539) - BraTS format (import-only) (.npy and .nii.gz), new
MultiframeImage
media type (#628) - Common Semantic Segmentation dataset format (import-only) (#685)
- An option to disable
data/
prefix inclusion in YOLO export (#689) - New command
describe-downloads
to print information about downloadable datasets (#678) - Detection for Cityscapes format (#680)
- Maximum recursion
--depth
parameter fordetect-dataset
CLI command (#680) - An option to save a single subset in the
download
command (#697) - Common Super Resolution dataset format (import-only) (#700)
- Kinetics 400/600/700 dataset format (import-only) (#706)
- NYU Depth Dataset V2 format (import-only) (#712)
Changed
env.detect_dataset()
now returns a list of detected formats at all recursion levels instead of just the lowest one (#680)- Open Images: allowed to store annotations file in root path as well (#680)
- Improved parsing error messages in COCO, VOC and YOLO formats (#684, #686, #687)
- YOLO format now supports almost any subset names, except
backup
,names
andclasses
(instead of justtrain
andvalid
). The reserved names now raise an error on exporting. (#688)
Deprecated
--save-images
is replaced with--save-media
in CLI and converter API (#539)- [API]
image
,point_cloud
andrelated_images
ofDatasetItem
are replaced withmedia
andmedia_as(type)
members and c-tor parameters (#539)
Removed
- N/A
Fixed
- Detection for LFW format (#680)
- Adding depth value of image when dataset is exported in VOC format (#726)
- Adding to handle the numerical labels in task chains properly (#726)
- Fixing the issue that annotations inside another annotation (polygon) are duplicated during import for VOC format (#726)
Security
- N/A