* Add license line to .github/ISSUE_TEMPLATE/bug-report.yml
* Add license line to .github/ISSUE_TEMPLATE/config.yml
* Add license line to .github/ISSUE_TEMPLATE/feature-request.yml
* Add license line to .github/ISSUE_TEMPLATE/question.yml
* Add license line to .github/dependabot.yml
* Add license line to .github/workflows/ci-testing.yml
* Add license line to .github/workflows/cla.yml
* Add license line to .github/workflows/codeql-analysis.yml
* Add license line to .github/workflows/docker.yml
* Add license line to .github/workflows/format.yml
* Add license line to .github/workflows/greetings.yml
* Add license line to .github/workflows/links.yml
* Add license line to .github/workflows/merge-main-into-prs.yml
* Add license line to .github/workflows/stale.yml
* Add license line to benchmarks.py
* Add license line to classify/predict.py
* Add license line to classify/train.py
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* Add license line to data/Argoverse.yaml
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* Add license line to data/SKU-110K.yaml
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* Add license line to data/coco128-seg.yaml
* Add license line to data/coco128.yaml
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* Add license line to data/hyps/hyp.VOC.yaml
* Add license line to data/hyps/hyp.no-augmentation.yaml
* Add license line to data/hyps/hyp.scratch-high.yaml
* Add license line to data/hyps/hyp.scratch-low.yaml
* Add license line to data/hyps/hyp.scratch-med.yaml
* Add license line to data/xView.yaml
* Add license line to detect.py
* Add license line to export.py
* Add license line to hubconf.py
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* Add license line to models/hub/anchors.yaml
* Add license line to models/hub/yolov3-spp.yaml
* Add license line to models/hub/yolov3-tiny.yaml
* Add license line to models/hub/yolov3.yaml
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* Add license line to models/hub/yolov5-panet.yaml
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* Add license line to models/hub/yolov5m6.yaml
* Add license line to models/hub/yolov5n6.yaml
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* Add license line to models/hub/yolov5x6.yaml
* Add license line to models/segment/yolov5l-seg.yaml
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* Add license line to models/yolov5m.yaml
* Add license line to models/yolov5n.yaml
* Add license line to models/yolov5s.yaml
* Add license line to models/yolov5x.yaml
* Add license line to pyproject.toml
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* Add license line to utils/loss.py
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* Add license line to utils/segment/augmentations.py
* Add license line to utils/segment/dataloaders.py
* Add license line to utils/segment/general.py
* Add license line to utils/segment/loss.py
* Add license line to utils/segment/metrics.py
* Add license line to utils/segment/plots.py
* Add license line to utils/torch_utils.py
* Add license line to utils/triton.py
* Add license line to val.py
* Auto-format by https://ultralytics.com/actions
* Update ImageNet1000.yaml
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Auto-format by https://ultralytics.com/actions
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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
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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Standardize warnings
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* AutoBatch protect from negative batch sizes
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* cleanup
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* AutoBatch checks against failed solutions
@kalenmike this is a simple improvement to AutoBatch to verify that returned solutions have not already failed, i.e. return batch-size 8 when 8 already produced CUDA out of memory.
This is a halfway fix until I can implement a 'final solution' that will actively verify the solved-for batch size rather than passively assume it works.
* Update autobatch.py
* Update autobatch.py
* Add PyTorch AMP check
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Cleanup
* Cleanup
* Cleanup
* Robust for DDP
* Fixes
* Add amp enabled boolean to check_train_batch_size
* Simplify
* space to prefix
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* AutoBatch, AutoAnchor `LOGGER`
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update autoanchor.py
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