* Update tests to `pip install -e .`
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* Update pyproject.toml
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* Use `setup-uv` and `uv pip` for package management.
Replaced `setup-python` with `setup-uv` and updated pip commands to use the `uv` tool for dependency installation and listing. Simplifies package management and integrates
* Use `setup-uv` and `uv pip` for package management.
Replaced `setup-python` with `setup-uv` and updated pip commands to use the `uv` tool for dependency installation and listing. Simplifies package management and integrates-uv` for improved workflow consistency.
* Use `setup-uv` and `uv pip` for package management.
Replaced `setup-python` with `setup-uv` and updated pip commands to use the `uv` tool for dependency installation and listing. Simplifies package management and integrates-uv` for improved workflow consistency.
* Use `setup-uv` and `uv pip` for package management.
Replaced `setup-python` with `setup-uv` and updated pip commands to use the `uv` tool for dependency installation and listing. Simplifies package management and integrates-uv` for improved workflow consistency.
---------
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
* Add license line to .github/ISSUE_TEMPLATE/bug-report.yml
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* Add license line to utils/segment/augmentations.py
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* Add license line to utils/torch_utils.py
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* Update ImageNet1000.yaml
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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---------
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update LICENSE to AGPL-3.0
This pull request updates the license of the YOLOv5 project from GNU General Public License v3.0 (GPL-3.0) to GNU Affero General Public License v3.0 (AGPL-3.0).
We at Ultralytics have decided to make this change in order to better protect our intellectual property and ensure that any modifications made to the YOLOv5 source code will be shared back with the community when used over a network.
AGPL-3.0 is very similar to GPL-3.0, but with an additional clause to address the use of software over a network. This change ensures that if someone modifies YOLOv5 and provides it as a service over a network (e.g., through a web application or API), they must also make the source code of their modified version available to users of the service.
This update includes the following changes:
- Replace the `LICENSE` file with the AGPL-3.0 license text
- Update the license reference in the `README.md` file
- Update the license headers in source code files
We believe that this change will promote a more collaborative environment and help drive further innovation within the YOLOv5 community.
Please review the changes and let us know if you have any questions or concerns.
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update headers to AGPL-3.0
---------
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Fix duplicate plots.py
* Fix check_font()
* # torch.use_deterministic_algorithms(True)
* update doc detect->predict
* Resolve precommit for segment/train and segment/val
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* Resolve precommit for utils/segment
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* Resolve precommit min_wh
* Resolve precommit utils/segment/plots
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* Resolve precommit utils/segment/general
* Align NMS-seg closer to NMS
* restore deterministic init_seeds code
* remove easydict dependency
* update
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* restore output_to_target mask
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* update
* cleanup
* Remove unused ImageFont import
* Unified NMS
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* DetectMultiBackend compatibility
* segment/predict.py update
* update plot colors
* fix bbox shifted
* sort bbox by confidence
* enable overlap by default
* Merge detect/segment output_to_target() function
* Start segmentation CI
* fix plots
* Update ci-testing.yml
* fix training whitespace
* optimize process mask functions (can we merge both?)
* Update predict/detect
* Update plot_images
* Update plot_images_and_masks
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* fix
* Add train to CI
* fix precommit
* fix precommit CI
* fix precommit pycocotools
* fix val float issues
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* fix masks float float issues
* suppress errors
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* fix no-predictions plotting bug
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Add CSV Logger
* fix val len(plot_masks)
* speed up evaluation
* fix process_mask
* fix plots
* update segment/utils build_targets
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* optimize utils/segment/general crop()
* optimize utils/segment/general crop() 2
* minor updates
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* torch.where revert
* downsample only if different shape
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* loss cleanup
* loss cleanup 2
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* loss cleanup 3
* update project names
* Rename -seg yamls from _underscore to -dash
* prepare for yolov5n-seg.pt
* precommit space fix
* add coco128-seg.yaml
* update coco128-seg comments
* cleanup val.py
* Major val.py cleanup
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* precommit fix
* precommit fix
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* optional pycocotools
* remove CI pip install pycocotools (auto-installed now)
* seg yaml fix
* optimize mask_iou() and masks_iou()
* threaded fix
* Major train.py update
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Major segments/val/process_batch() update
* yolov5/val updates from segment
* process_batch numpy/tensor fix
* opt-in to pycocotools with --save-json
* threaded pycocotools ops for 2x speed increase
* Avoid permute contiguous if possible
* Add max_det=300 argument to both val.py and segment/val.py
* fix onnx_dynamic
* speed up pycocotools ops
* faster process_mask(upsample=True) for predict
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* eliminate permutations for process_mask(upsample=True)
* eliminate permute-contiguous in crop(), use native dimension order
* cleanup comment
* Add Proto() module
* fix class count
* fix anchor order
* broadcast mask_gti in loss for speed
* Cleanup seg loss
* faster indexing
* faster indexing fix
* faster indexing fix2
* revert faster indexing
* fix validation plotting
* Loss cleanup and mxyxy simplification
* Loss cleanup and mxyxy simplification 2
* revert validation plotting
* replace missing tanh
* Eliminate last permutation
* delete unneeded .float()
* Remove MaskIOULoss and crop(if HWC)
* Final v6.3 SegmentationModel architecture updates
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Add support for TF export
* remove debugger trace
* add call
* update
* update
* Merge master
* Merge master
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Update dataloaders.py
* Restore CI
* Update dataloaders.py
* Fix TF/TFLite export for segmentation model
* Merge master
* Cleanup predict.py mask plotting
* cleanup scale_masks()
* rename scale_masks to scale_image
* cleanup/optimize plot_masks
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Add Annotator.masks()
* Annotator.masks() fix
* Update plots.py
* Annotator mask optimization
* Rename crop() to crop_mask()
* Do not crop in predict.py
* crop always
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Merge master
* Add vid-stride from master PR
* Update seg model outputs
* Update seg model outputs
* Add segmentation benchmarks
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Add segmentation benchmarks
* Add segmentation benchmarks
* Add segmentation benchmarks
* Fix DetectMultiBackend for OpenVINO
* update Annotator.masks
* fix val plot
* revert val plot
* clean up
* revert pil
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Fix CI error
* fix predict log
* remove upsample
* update interpolate
* fix validation plot logging
* Annotator.masks() cleanup
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Remove segmentation_model definition
* Restore 0.99999 decimals
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Laughing-q <1185102784@qq.com>
Co-authored-by: Jiacong Fang <zldrobit@126.com>
* Temporarily remove macos-latest from CI
macos-latest causing many failed CI runs that resolve after manually re-running 2 or 3 times. I don't know what the cause is. Will replace at a later date.
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update ci-testing.yml
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Add `--hard-fail` list argument to benchmarks for CI
Will cause CI to fail on a benchmark failure for given indices.
* Update ci-testing.yml
* Attempt Failure (CI should fail)
* Update benchmarks.py
* Update export.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Update benchmarks.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Update ci-testing.yml
* Update benchmarks.py
* Update benchmarks.py
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