* enable TensorFlow ops if flag --nms or --agnostic-nms is used
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* Update export.py
* Update export.py
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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* [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)
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* Update yolo.py
* Update activations.py
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* Update activations.py
* Update tf.py
* Update tf.py
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* Update
* Update
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* Update restapi.py
* Update restapi.py
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* Cleanup
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Resolve `UserWarning: Usage of dash-separated 'description-file' will not be supported in future versions. Please use the underscore name 'description_file' instead`
* precommit: yapf
* align isort
* fix
# Conflicts:
# utils/plots.py
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* Update setup.cfg
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* Update setup.cfg
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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
* export.py last comma
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* Update hubconf.py
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* PyTorch Hub tuple fix
* PyTorch Hub tuple fix2
* PyTorch Hub tuple fix3
* Update setup
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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
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* Update export.py
* :tada: :new: now can read Chinese image path.
use "cv2.imdecode(np.fromfile(f, np.uint8), cv2.IMREAD_COLOR)" instead of "cv2.imread(f)" for Chinese image path.
* Update datasets.py
* Update __init__.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Stems not working correctly for YOLOv5l with current .rstrip() implementation. After fix:
```
YOLOv5l summary: 468 layers, 46563709 parameters, 46563709 gradients, 109.3 GFLOPs
```
* Update loss.py
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* Update loss.py
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