* Update README.md

* Update greetings.yml

* Update Dockerfile-cpu `--no-install-recommends`

Per https://ubuntu.com/blog/we-reduced-our-docker-images-by-60-with-no-install-recommends

* Update Dockerfile-M1

* Update Dockerfile

* Update Dockerfile-M1

* Update Dockerfile-cpu

* Uses OpenVINO runtime instead of openvino-dev

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

for more information, see https://pre-commit.ci

* export with openvino package

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

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* Revert export.py

* Update common.py
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>

* 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

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

for more information, see https://pre-commit.ciCo-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

Bumps [cirrus-actions/rebase](https://github.com/cirrus-actions/rebase) from 1.6 to 1.7.
- [Release notes](https://github.com/cirrus-actions/rebase/releases)
- [Commits](https://github.com/cirrus-actions/rebase/compare/1.6...1.7)

---
updated-dependencies:
- dependency-name: cirrus-actions/rebase
  dependency-type: direct:production
  update-type: version-update:semver-minor
...
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* New TensorFlow `TFDWConv()` module

Analog to DWConv() module:
https://github.com/ultralytics/yolov5/blob/8aa2085a7e7ae20a17a7548edefbdb2960f2b29b/models/common.py#L53-L57

* Fix and new activations() function

* Update tf.py

Resolves bug report #7817

* Update torch_utils.py

* Additional code refactoring

* tuples to sets

* Cleanup

* Add `@threaded` decorator

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

for more information, see https://pre-commit.ciCo-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* 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

* Update datasets.py
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>

* 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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for more information, see https://pre-commit.ciCo-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* Ability to dowlnoad older assets

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* Cleanup

* Cleanup2
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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* Update tutorial.ipynb

* Created using Colaboratory

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

* Update Docker

* Update Docker

* Update Docker

* Update Docker

* Update TRT auto-install

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* Cleanup

* Cleanup

* 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

* Update Dockerfile-cpu

* Update Dockerfile-cpu

* Update Dockerfile-cpu

* Update Dockerfile-cpu

* Update Dockerfile-cpu

* Update Dockerfile-cpu

* Update Dockerfile

* fix emoji

* reduce scipy

* add libpython3.9

* Update Dockerfile

* disallow dynamic arg when half is given

* Update export.py
Co-authored-by: David Matos <david@track32.nl>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

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
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

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 😂