* Add `@threaded` decorator

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* add random_interpolation option to make model robust to interpolation methods

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Fix precommit error

* Update augmentations.py

* Update augmentations.py

* Update augmentations.py

* Update datasets.py

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* Add Dockerfile-M1

* Update

* Update

* Update Dockerfile-M1

@sergiossm

* Implement DDP `static_graph=True`

Experimental implementation of new PyTorch 1.11.0 DDP feature.

* Add 1.11.0 check

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* Pin downloads to release version

Fixes a release version to avoid forward-compatibility issues in future releases.

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* Ability to dowlnoad older assets

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* Cleanup

* Cleanup2
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* Update tutorial.ipynb

* Created using Colaboratory

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* FROM nvcr.io/nvidia/pytorch:22.04-py3

* Update Docker

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* Update TRT auto-install

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* Cleanup

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* Cleanup cpu

* Cleanup cpu
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* Update

* Update

* Do not install torch

* Pillow>9.1

* Update Dockerfile-cpu

* Update Dockerfile-cpu

* Update Dockerfile-cpu

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* Update Dockerfile-cpu

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* fix emoji

* reduce scipy

* add libpython3.9

* Update Dockerfile

* disallow dynamic arg when half is given

* Update export.py
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Bumps [github/codeql-action](https://github.com/github/codeql-action) from 1 to 2.
- [Release notes](https://github.com/github/codeql-action/releases)
- [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md)
- [Commits](https://github.com/github/codeql-action/compare/v1...v2)

---
updated-dependencies:
- dependency-name: github/codeql-action
  dependency-type: direct:production
  update-type: version-update:semver-major
...
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fix bug in issue #7650

Resolves https://github.com/ultralytics/yolov5/issues/7638

May help https://github.com/ultralytics/yolov5/issues/7631#issuecomment-1113007451

Improved robustness to filename edge cases like `data/images/zidane.23.jpg` that currently fail. May resolve https://github.com/ultralytics/yolov5/issues/7432

* feature(export): add half support for openvino models

* Update export.py

* Update export.py
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Usage:
```
python utils/benchmarks.py --weights yolov5s.pt --img 640 --pt-only
```

Solution proposed in https://github.com/ultralytics/yolov5/issues/7128 to TRT PyTorch Hub CUDA illegal memory errors.

Follows implementation of _verbose flag for PyTorch Hub models. Currently these are so silent that result.print() does nothing 😂

* PyTorch Hub `_verbose=False` fix2

* Update downloads.py

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* Update hubconf.py

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* Update

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* Update

* Update

* Update

* Update

* Update

* Update

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* Update
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May partially resolve concerns in https://github.com/ultralytics/yolov5/pull/7537#discussion_r856843711

* Update restapi.py

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* Add redundant weights download mirrors

This PR seeks to improve access worldwide to YOLOv5 weights. Universal access to AI for all is our core value, and we are against any censorship or restriction efforts.

I've uploaded the official YOLOv5 v6.1 weights to a primary backup bucket on GCP and to secondary backup on Google Drive at https://drive.google.com/drive/folders/1EFQTEUeXWSFww0luse2jB9M1QNZQGwNl. Autodownload with try the first two locations (GitHuB release assets and GCP bucket), and point users to the Google Drive folder if the first two fail.

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* support nomedia

* support nomedia for validation

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* Update train.py

* Revert no plot evolve

evolve plots do not contain any images

* Revert plot_results

contains no media

* Update wandb_utils.py

* sync-bn cleanup

* Cleanup

* Rename nomedia -> noplots
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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update .pre-commit-config.yaml

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* Autoinstall TensorRT if missing

May resolve https://github.com/ultralytics/yolov5/issues/7464

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* Update export.py

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Verified fix for https://github.com/ultralytics/yolov5/pull/7525#issuecomment-1106081123