* Update plots for Chinese fonts

* make is_chinese() non-str safe

* Add global FONT

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* Update general.py
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Update `lrf: 0.1`, tested on YOLOv5x6 to 55.0 mAP@0.5:0.95, slightly higher than current.

* log best.pt metrics at train end

* update

* Update __init__.py

* flush callbacks when using evolve

* remember batch size on resuming

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

Suppresses warnings when calling export.run() directly, not just CLI python export.py.

Also adds Requirements examples for CPU and GPU backends

* Suppress torch.jit.TracerWarning

TracerWarnings can be safely ignored.

* Cleanup

* Improved `export.py` usage examples

* Cleanup

* Social media icons update

* fix URL

* Update README.md

* Fix2 select_device() for Multi-GPU

* Cleanup

* Cleanup

* Simplify error message

* Improve assert

* Update torch_utils.py

* Fix `select_device()` for Multi-GPU

Possible fix for https://github.com/ultralytics/yolov5/issues/6431

* Update torch_utils.py

* Update torch_utils.py

* Update torch_utils.py

* Update torch_utils.py

* Update

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* Update

* Update

This reverts commit 3119b2f2.

* Verbose updates

* Verbose updates

* Workflow updates

* quotes fix

* best to weights fix

* import tflite_runtime if tensorflow not installed

* rename tflite to tfli

* Attempt tflite_runtime for all TFLite workflows

Also rename tfli to tfl
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* Gave a more explicit name to the logger

* Cleanup
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* Update `greetings.yaml` email address

* Update greetings.yml

* Add detect.py GIF video inference

* Cleanup

* New flag 'stop_training' in util.callbacks.Callbacks class to prematurely stop training from callback handler

* Removed most of the new  checks, leaving only the one after calling 'on_train_batch_end'

* Cleanup
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21.12 generates dockerhub errors so rolling back to 21.10 with latest pytorch install. Not sure if this torch install will work on non-GPU dockerhub autobuild so this is an experiment.

* log best.pt metrics at train end

* update

* Update __init__.py

* flush callbacks when using evolve
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New environment variable `VERBOSE`

* `export.py` automatic `forward_export`

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* `export.py` return exported files/dirs

* Path to str

* TensorRT `assert im.device.type != 'cpu'` on export

* Update export.py

* Console corrupted -> corrupt 

Minor style changes.

* Update export.py

* Remove `dataset_stats()` autodownload capability

@kalenmike security update per Slack convo

* Update datasets.py

* Fix `train.py` parameter groups desc error

* Cleanup
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* `select_device()` cleanup

* Update torch_utils.py

* Update torch_utils.py

* Update torch_utils.py

* Update torch_utils.py

* Update torch_utils.py

* Fixing bug multi-gpu training

This solves this issue: https://github.com/ultralytics/yolov5/issues/6297#issue-1103853348

* Update torch_utils.py for pep8

* Fix device count check()

* Update torch_utils.py

* Update torch_utils.py

* Update hubconf.py

* Add `is_kaggle()` function

Return True if environment is Kaggle Notebook.

* Remove root loggers only if is_kaggle() == True

* Update general.py