* 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
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* 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
* Add license line to classify/val.py
* Add license line to data/Argoverse.yaml
* Add license line to data/GlobalWheat2020.yaml
* Add license line to data/ImageNet.yaml
* Add license line to data/ImageNet10.yaml
* Add license line to data/ImageNet100.yaml
* Add license line to data/ImageNet1000.yaml
* Add license line to data/Objects365.yaml
* Add license line to data/SKU-110K.yaml
* Add license line to data/VOC.yaml
* Add license line to data/VisDrone.yaml
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* Add license line to data/hyps/hyp.Objects365.yaml
* 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
* Add license line to models/common.py
* Add license line to models/experimental.py
* 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
* Add license line to models/hub/yolov5-bifpn.yaml
* Add license line to models/hub/yolov5-fpn.yaml
* Add license line to models/hub/yolov5-p2.yaml
* Add license line to models/hub/yolov5-p34.yaml
* Add license line to models/hub/yolov5-p6.yaml
* Add license line to models/hub/yolov5-p7.yaml
* Add license line to models/hub/yolov5-panet.yaml
* Add license line to models/hub/yolov5l6.yaml
* Add license line to models/hub/yolov5m6.yaml
* Add license line to models/hub/yolov5n6.yaml
* Add license line to models/hub/yolov5s-LeakyReLU.yaml
* Add license line to models/hub/yolov5s-ghost.yaml
* Add license line to models/hub/yolov5s-transformer.yaml
* Add license line to models/hub/yolov5s6.yaml
* Add license line to models/hub/yolov5x6.yaml
* Add license line to models/segment/yolov5l-seg.yaml
* Add license line to models/segment/yolov5m-seg.yaml
* Add license line to models/segment/yolov5n-seg.yaml
* Add license line to models/segment/yolov5s-seg.yaml
* Add license line to models/segment/yolov5x-seg.yaml
* Add license line to models/tf.py
* Add license line to models/yolo.py
* Add license line to models/yolov5l.yaml
* 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
* Add license line to segment/predict.py
* Add license line to segment/train.py
* Add license line to segment/val.py
* Add license line to train.py
* Add license line to utils/__init__.py
* Add license line to utils/activations.py
* Add license line to utils/augmentations.py
* Add license line to utils/autoanchor.py
* Add license line to utils/autobatch.py
* Add license line to utils/aws/resume.py
* Add license line to utils/callbacks.py
* Add license line to utils/dataloaders.py
* Add license line to utils/downloads.py
* Add license line to utils/flask_rest_api/example_request.py
* Add license line to utils/flask_rest_api/restapi.py
* Add license line to utils/general.py
* Add license line to utils/google_app_engine/app.yaml
* Add license line to utils/loggers/__init__.py
* Add license line to utils/loggers/clearml/clearml_utils.py
* Add license line to utils/loggers/clearml/hpo.py
* Add license line to utils/loggers/comet/__init__.py
* Add license line to utils/loggers/comet/comet_utils.py
* Add license line to utils/loggers/comet/hpo.py
* Add license line to utils/loggers/wandb/wandb_utils.py
* Add license line to utils/loss.py
* Add license line to utils/metrics.py
* Add license line to utils/plots.py
* 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
---------
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Parametrize multiple of number of channels in Conv
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Fix issue when exporting
Signed-off-by: Angelo Delli Santi <dellisanti.angelo@gmail.com>
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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---------
Signed-off-by: Angelo Delli Santi <dellisanti.angelo@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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* 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>
* Try to fix DDP mAP drop by setting generator's seed to RANK
* Fix default activation bug
* Update dataloaders.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Update dataloaders.py
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* Detect() and Segment() fixes for CoreML and Paddle
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* [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
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* restore output_to_target mask
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* update
* cleanup
* Remove unused ImageFont import
* Unified NMS
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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
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* fix masks float float issues
* suppress errors
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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
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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
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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
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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>
* Add DWConvTranspose2d() module
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* Add DWConvTranspose2d() module
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* Fix
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* Fix
* Fix
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* New TensorFlow `TFCrossConv()` module
* Move from experimental to common
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Add C3x
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Add to C3x to yolo.py
* Add to C3x to tf.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* TFC3x bug fix
* TFC3x bug fix
* TFC3x bug fix
* Add TFDWConv g==c1==c2 check
* Add comment
* Update tf.py
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* [pre-commit.ci] pre-commit suggestions
updates:
- [github.com/asottile/pyupgrade: v2.31.0 → v2.31.1](https://github.com/asottile/pyupgrade/compare/v2.31.0...v2.31.1)
- [github.com/pre-commit/mirrors-yapf: v0.31.0 → v0.32.0](https://github.com/pre-commit/mirrors-yapf/compare/v0.31.0...v0.32.0)
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Update yolo.py
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* Update activations.py
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* Update
* Update
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* precommit: yapf
* align isort
* fix
# Conflicts:
# utils/plots.py
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* Update wandb_utils.py
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* Update val.py
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* simplify colorstr
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* val run fix
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* PyTorch Hub tuple fix
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* yolo.py profiling updates
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* Sidestep os.path.relpath() Windows bug
os.path.relpath() seems to have a major bug on Windows due to Windows horrible path handling. This fix attempts to sidestep the issue.
```
File "C:\Users\mkokg/.cache\torch\hub\ultralytics_yolov5_master\export.py", line 64, in
ROOT = Path(os.path.relpath(ROOT, Path.cwd())) # relative
File "C:\Users\mkokg\AppData\Local\Programs\Python\Python310\lib\ntpath.py", line 718, in relpath
raise ValueError("path is on mount %r, start on mount %r" % (
ValueError: path is on mount 'C:', start on mount 'D:'
```
* Update yolo.py
* Update yolo.py
* Update yolo.py
* Update export.py
Fix for Colab hub error:
```python
import yaml
with open('yolov5s.yaml', errors='ignore') as f:
d = yaml.safe_load(f) # model dict
print(d)
---------------------------------------------------------------------------
ReaderError Traceback (most recent call last)
<ipython-input-8-1150b5143073> in <module>()
2
3 with open('yolov5s.yaml', errors='ignore') as f:
----> 4 d = yaml.safe_load(f) # model dict
5
6 print(d)
6 frames
/usr/local/lib/python3.7/dist-packages/yaml/reader.py in check_printable(self, data)
142 position = self.index+(len(self.buffer)-self.pointer)+match.start()
143 raise ReaderError(self.name, position, ord(character),
--> 144 'unicode', "special characters are not allowed")
145
146 def update(self, length):
ReaderError: unacceptable character #x1f680: special characters are not allowed
in "yolov5s.yaml", position 9
```
Checking for `onnx_dynamic` first should suppress the warning:
```log
TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
if self.grid[i].shape[2:4] != x[i].shape[2:4] or self.onnx_dynamic
```
Glenn Jocher
Ultralytics Assistant
Paula Derrenger
Aarni Koskela
Angelo Delli Santi
Forever518
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tcmyxc
pre-commit-ci[bot]
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