Resolves https://github.com/ultralytics/yolov5/issues/8791

Bug first introduced in #8782

Disable FP16 validation if AMP checks fail or amp=False.

Detect.inplace=False for safe multithread inference

Deprecate torch 1.6.0 compat _non_persistent_buffers_set

* Update Colab Notebook CI

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* Add hubconf.py argparser

* Add hubconf.py argparser

Per https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions

Fix detect.py --update

Resolves https://github.com/ultralytics/yolov5/issues/8776

Help resolve confusion around zero-metrics val.py results when no labels are found in https://github.com/ultralytics/yolov5/issues/8753

* Fix confusion matrix update when no predictions are made

* Update metrics.py

* Simply confusion matrix changes

* Simply confusion matrix fix
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* Dynamic batch size support for TensorRT

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* Fix optimization profile when batch size is 1

* Warn users if they use batch-size=1 with dynamic

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* More descriptive assertion error

* Fix syntax

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* Update export.py
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Resolve #8012 (again)

Checking if ``/workspace`` exists is not a reliable method to check if
the process runs in a docker container.

Reusing the logic from the npm "is-docker" package to check if the
process runs in a container.
References: https://github.com/sindresorhus/is-docker/blob/main/index.js

Fixes #8710.
Co-authored-by: Maximilian Strobel <Maximilian.Strobel@infineon.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

Revert "Fix BGR->RGB Bug in albumentations #8641 (#8695)"

This reverts commit 2e1291fd.

* Fix BGR->RGB Bug in albumentations https://github.com/ultralytics/yolov5/issues/8641

* Change transform methode from cv2 to numpy

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* Simplify

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* Update augmentations.py
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* New `HUBDatasetStats()` class

Usage examples:
```
from utils.dataloaders import *

stats = HUBDatasetStats('coco128.yaml', autodownload=True)  # method 1
stats = HUBDatasetStats('path/to/coco128_with_yaml.zip')  # method 1

stats.get_json(save=False)
stats.process_images()
```

@kalenmike

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* Update dataloaders.py

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* Update dataloaders.py

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* Update dataloaders.py

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* Update dataloaders.py

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* Update dataloaders.py

* Update dataloaders.py

Resolves https://github.com/ultralytics/yolov5/issues/8642

Faster crops

Following https://github.com/ultralytics/yolov5/issues/8641#issuecomment-1193190325

* Set `torch.cuda.manual_seed_all()` for DDP

* Update general.py

* Update general.py

* Add generator and worker seed

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Resolves silent outputs after model load

Otherwise, an error is thrown if the tensorboard logger is not included.

* upgrade onnxsim to v0.4.1
Signed-off-by: daquexian <daquexian566@gmail.com>

* Update export.py

* Update export.py

* Update export.py

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* Update export.py
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Resolves https://github.com/ultralytics/yolov5/issues/8623

* assert torch!=1.12.0 for DDP training

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* Refactor optimizer initialization

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* Update ci-testing with `pip install wheel`

* Update ci-testing.yml

* Update dockerfiles

* Update `tqdm>=4.64.0` and `thop>=0.1.1`

* Update requirements.txt