cvat-ai/cvat v2.6.0

v2.6.0: Auto-annotation in the SDK, better frame caching

on GitHub

Added

• [SDK] Introduced the DeferredTqdmProgressReporter class, which avoids the glitchy output seen with the TqdmProgressReporter under certain circumstances (#6556)
• [SDK, CLI] Added the cvat_sdk.auto_annotation module, providing functionality to automatically annotate tasks by executing a user-provided function on the local machine. A corresponding CLI command (auto-annotate) is also available. Some predefined functions using torchvision are also available. (#6483, #6649)
• Included an indication for cached frames in the interface (#6586)

Changed

• Raised the default guide assets limitations to 30 assets, with a maximum size of 10MB each (#6575)
• [SDK] Custom ProgressReporter implementations should now override start2 instead of start The old implementation is still supported.
  (#6556)
• Improved memory optimization and code in the decoding module (#6585)

Removed

• Removed the YOLOv5 serverless function (#6618)

Fixed

• Corrected an issue where the prebuilt FFmpeg bundled in PyAV was being used instead of the custom build.
• Fixed the filename for labels in the CamVid format (#6600)