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

* 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

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

* Gave a more explicit name to the logger

* Cleanup

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

* 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

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

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

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

New environment variable `VERBOSE`

* `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

* Fix `train.py` parameter groups desc error

* Cleanup

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

* `select_device()` cleanup

* Update torch_utils.py

* Update torch_utils.py

* Update torch_utils.py

* Update torch_utils.py

* Update torch_utils.py

* 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

* Fix cmd string on tfjs export

* Cleanup

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

* Update p2-p7 `models/hub` variants

* Update common.py

* AutoAnchor camelcase corrections

* Attempt `edgetpu-compiler` autoinstall

Attempt to install edgetpu-compiler dependency if missing on Linux.

* Update export.py

* Update export.py

* Add `edgetpu_compiler` checks

* Update export.py

* Update export.py

* Update export.py

* Update export.py

* Update export.py

* Update export.py

* TFLite `--int8` 'flatbuffers==1.12' fix

Temporary workaround for TFLite INT8 export.

* Update export.py

* Update export.py