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

updates:
- [github.com/asottile/pyupgrade: v2.32.0 → v2.32.1](https://github.com/asottile/pyupgrade/compare/v2.32.0...v2.32.1)
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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* experimental.py Apple MPS fix

May resolve https://github.com/ultralytics/yolov5/issues/8102

* Update experimental.py

* Update experimental.py

* Improved dataset error introspection

Intended to help https://github.com/ultralytics/yolov5/issues/8090

* Update general.py

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update docker.yml

Fixed FP32 TRT  model export
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

make init bias better, 
I think `detach` is more safer than `data`

Simplify and update `--save-period` epoch 0

* Pin `protobuf==3.20.1`

* Update requirements.txt

* Update ci-testing.yml

Pin protobuf==3.20.1

Resolve protobuf 4 issues.

Avoids openvino-dev conflicts

* Add warning emoji on `--conf > 0.001`

* Update val.py

* Update and rename ci-testing.yml to ci.yml

* Update ci.yml

* Update ci.yml

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

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

* Update and rename ci.yml to ci-tests.yml

* Update ci-tests.yml

* Update ci-tests.yml

* Rename ci-tests.yml to ci-testing.yml
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

Attempt to resolve Windows issues

* Add `psutil` and `ipython` to requirements.txt

Lightweight packages used by YOLOv5 for system utilization (psutil) and interactive notebooks (IPython)

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

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

* sort alphabetically
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* Remove `formats` variable to avoid `pd` conflict

* Update export.py

Update requirements.txt

* Reduce AMP check to detections verification

More robust and faster

* Update general.py

* Update general.py

* Increase NMS fixed time limit to 200ms

* Update general.py

* Apple Metal Performance Shader (MPS) device support

Following https://pytorch.org/blog/introducing-accelerated-pytorch-training-on-mac/

Should work with Apple M1 devices with PyTorch nightly installed with command `--device mps`. Usage examples:
```bash
python train.py --device mps
python detect.py --device mps
python val.py --device mps
```

* Update device strategy to fix MPS issue

* Bug Fixed: OpenVINO metadata

* Bug Fixed: OpenVINO metadata

* Update export.py

* Update export.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Rename OpenVINO meta.yaml to model name

* Rename OpenVINO meta.yaml to model name

* Rename OpenVINO meta.yaml to model name

* fix

* Write .yaml file when exporting model to openvino

Write .yaml file automatically when exporting model to openvino to be used during inference

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

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* Update export.py

* Update export.py

* Load metadata on inference

* Update common.py
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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

Resolves Ultralytics HUB CI errors.

Adjust to 5%, fixes failing Colab AMP check with V100 (1.5% different) with 200% safety margin.

Resolves https://github.com/ultralytics/yolov5/discussions/7931

* Code refactor for general.py

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

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

* Update restapi.py
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* 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
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Resolves https://github.com/ultralytics/yolov5/issues/7911#issuecomment-1133671255

Locate file in subdirectories.