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edc3a8897c
* Using Rayon to accelarate YOLO post-processing * Refactor YOLO with outputs format * Optimize `conf * clss` for yolov5 v6 v7 * Add depth-anything-v2 * Update README.md * Update CHANGELOG.md
48 lines
1.8 KiB
Markdown
48 lines
1.8 KiB
Markdown
## v0.0.5 - 2024-07-12
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### Changed
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- 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.
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- Merged all `YOLOv8-related` solution models into YOLO examples.
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- Consolidated all `YOLO-series` model examples into the YOLO example.
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- Refactored the `YOLO` struct to unify all `YOLO versions` and `YOLO tasks`. It now supports user-defined YOLO models with different `Preds Tensor Formats`.
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- Introduced a new `Nms` trait, combining `apply_bboxes_nms()` and `apply_mbrs_nms()` into `apply_nms()`.
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### Added
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- Added support for `YOLOv6` and `YOLOv7`.
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- Updated documentation for `y.rs`.
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- Updated documentation for `bbox.rs`.
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- Updated the `README.md`.
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- Added `with_yolo_preds()` to `Options`.
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- Added support for `Depth-Anything-v2`.
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- Added `RTDETR` to the `YOLOVersion` struct.
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### Removed
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- Merged the following models' examples into the YOLOv8 example: `yolov8-face`, `yolov8-falldown`, `yolov8-head`, `yolov8-trash`, `fastsam`, and `face-parsing`.
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- Removed `anchors_first`, `conf_independent`, and their related methods from `Options`.
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## v0.0.4 - 2024-06-30
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### Added
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- Add X struct to handle input and preprocessing
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- Add Ops struct to manage common operations
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- 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).
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### Deprecated
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- Mark `Ops::descale_mask()` as deprecated.
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### Fixed
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### Changed
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### Removed
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### Refactored
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### Others
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