* Update cls bias init

Increased numerical precision. Returns 1.0 probability for single-class datasets now. Addresses https://github.com/ultralytics/yolov5/issues/5357

```python
torch.sigmoid(torch.tensor([math.log(0.6 / (1 - 0.99999))]))
Out[19]: tensor([1.0000])
```

* Update yolo.py

* Update plots.py

Error running python detect.py --visualize
#5503

* Update plots.py
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* write date in checkpoint file

write date in checkpoint file

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

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

Fix for https://github.com/ultralytics/yolov5/issues/5503
```
python detect.py --visualize --source path/to/file.suffix1.jpg
```

* precommit: isort

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

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

* Update isort config

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

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

* Update name
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* Handle edgetpu model inference

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

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* Cleanup

Rename `tflite_runtime.interpreter as tflite` to `tflite_runtime.interpreter as tflri` to avoid conflict with existing `tflite` boolean
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* Fix float zeros format

* 255 to integer

* Keras CI fix

* pre-commit fixes

* Update ci-testing.yml
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* Update tf.py with verified confirmation

* Update ci-testing.yml

* Update ci-testing.yml

* Improve GPU name

* Update torch_utils.py

* Update torch_utils.py

* Update torch_utils.py

* Update torch_utils.py

`check_requirements()` is unreliable for large packages like torch and tensorflow that may have multiple installation routes (i.e. conda, pip, tensorflow-cpu, etc.)

* Updating check_git_status() to switch to the repository root before performing git ops

* More pythonic

* Linting

* Remove redundant Path() call

* Generalizing the context manager

* Fixing error in context manager

* Cleanup

* Change to decorator
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

possibel -> possible

2-line update

* Update `set_logging()`

* Update export.py

* pre-commit fixes

* Update LoadImages

* Update LoadStreams

* Update print_args

* Single LOGGER definition

* yolo.py fix
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* Meshgrid `indexing='ij'` for PyTorch 1.10

Will not merge currently as breaks backwards compatibility.

* Meshgrid `indexing='ij'` for PyTorch 1.10

Will not merge currently as breaks backwards compatibility.

* Add check_version hard argument

* Update comment

* Update GitHub issues templates

* pre-commit fixes
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* define pre-commit

* add CI code

* configure

* apply pre-commit

* fstring

* apply MD

* pre-commit

* Update torch_utils.py

* Update print strings

* notes

* Cleanup code-format.yml

* Update setup.cfg

* Update .pre-commit-config.yaml
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* Autobatch

* fix mem

* fix mem2

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update train.py

* print result

* Cleanup print result

* swap fix in call

* to 64

* use total

* fix

* fix

* fix

* fix

* fix

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Cleanup printing

* Update final printout

* Update autobatch.py

* Update autobatch.py

* Update autobatch.py

* Minor fixes of the git checkout new branch

* Use em dash to quote

* Revert the change of git checkout

* Maybe we should up-to-date with the upstream/master?

* Add nano model to the download list

* Add possibility to also download the "*6" models

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

* take EXIF orientation tags into account when fixing corrupt images

* fit 120 char

* sort imports

* Update local exif_transpose comment

We have a local inplace version that is faster than the official as the image is not copied. AutoShape() uses this for Hub models, but here it is not important as the datasets.py usage is infrequent (AutoShape() it is applied every image).

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

* take image files with uppercase extensions into account in autosplit

* case fix

* Refactor implementation

Removes additional variable (capital variable names are also only for global variables), and uses the same methodology as implemented earlier in datasets.py L409.

* Remove redundant rglob characters
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Update token with workflows permissions

Bumps [actions/stale](https://github.com/actions/stale) from 3 to 4.
- [Release notes](https://github.com/actions/stale/releases)
- [Changelog](https://github.com/actions/stale/blob/main/CHANGELOG.md)
- [Commits](https://github.com/actions/stale/compare/v3...v4)

---
updated-dependencies:
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Bumps [actions/cache](https://github.com/actions/cache) from 1 to 2.1.6.
- [Release notes](https://github.com/actions/cache/releases)
- [Commits](https://github.com/actions/cache/compare/v1...v2.1.6)

---
updated-dependencies:
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