usls/CHANGELOG.md

v0.0.5 - 2024-07-12

Changed

• Accelerated YOLO's post-processing using Rayon. Now, YOLOv8-seg takes only around ~8ms (~20ms in the previous version), depending on your machine. Note that this repo's implementation of YOLOv8-Segment saves not only the masks but also their contour points. The official YOLOv8 Python version only saves the masks, making it appear much faster.
• Merged all YOLOv8-related solution models into YOLO examples.
• Consolidated all YOLO-series model examples into the YOLO example.
• Refactored the YOLO struct to unify all YOLO versions and YOLO tasks. It now supports user-defined YOLO models with different Preds Tensor Formats.
• Introduced a new Nms trait, combining apply_bboxes_nms() and apply_mbrs_nms() into apply_nms().

Added

• Added support for YOLOv6 and YOLOv7.
• Updated documentation for y.rs.
• Updated documentation for bbox.rs.
• Updated the README.md.
• Added with_yolo_preds() to Options.
• Added support for Depth-Anything-v2.
• Added RTDETR to the YOLOVersion struct.

Removed

• Merged the following models' examples into the YOLOv8 example: yolov8-face, yolov8-falldown, yolov8-head, yolov8-trash, fastsam, and face-parsing.
• Removed anchors_first, conf_independent, and their related methods from Options.

v0.0.4 - 2024-06-30

Added

• Add X struct to handle input and preprocessing
• Add Ops struct to manage common operations
• Use SIMD (fast_image_resize) to accelerate model pre-processing and post-processing.YOLOv8-seg post-processing (~120ms => ~20ms), Depth-Anything post-processing (~23ms => ~2ms).

Deprecated

• Mark Ops::descale_mask() as deprecated.

Fixed

Changed

Removed

Refactored

Others