New `--cache val` argument will cache validation set only into RAM. Should help multi-GPU training speeds without consuming as much RAM as full `--cache ram`.

Fix for #6658 for single-GPU and CPU training use cases

Per https://github.com/ultralytics/yolov3/issues/1887#issuecomment-1041135181

Fix attempt for https://github.com/ultralytics/yolov5/issues/6626

* Add benchmarks.py

* Update

* Add requirements

* Updates

* Updates

* Updates

* Updates

* Updates

* Updates

* dataset autodownload from root

* Update

* Redirect to /dev/null

* sudo --help

* Cleanup

* Add exports pd df

* Updates

* Updates

* Updates

* Cleanup

* dir handling fix

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

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* Cleanup

* Cleanup2

* Cleanup3

* Cleanup model_type
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* log best.pt metrics at train end

* update

* Update __init__.py

* flush callbacks when using evolve

* remember batch size on resuming

* Update train.py

* improve stability of resume
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

Per https://github.com/ultralytics/yolov5/issues/5860#issuecomment-1035320018 by @hdnh2006

* Fix missing data folder when running log_dataset

* Use ROOT/'data'

* PEP8 whitespace

* Fix `hyp_evolve.yaml` indexing bug

Bug caused hyp_evolve.yaml to display latest generation result rather than best generation result.

* Update plots.py

* Update general.py

* Update general.py

* Update general.py

Per https://github.com/ultralytics/yolov5/issues/6583#issuecomment-1034421945 by @alicera

* Update train.py

As see in #6463, modification on train in evolve process to allow custom save directory.

* fix val

* PEP8

whitespace around operator

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

* Fix `plot_labels()` colored histogram bug

* Cleanup

* Fix zero-export handling with `if any(f):`

Partial fix for https://github.com/ultralytics/yolov5/issues/6563

* Cleanup

* Improved AutoBatch DDP error message

* Cleanup

* Move trainloader functions to class methods

* results = ThreadPool(NUM_THREADS).imap(self.load_image, range(n))

* Cleanup

* Edge TPU TF imports fix

Fix for https://github.com/ultralytics/yolov5/issues/6535#issuecomment-1030631526

* Update common.py

* F541

* F821

* F841

* E741

* E302

* E722

* Apply suggestions from code review

* Update general.py

* Update datasets.py

* Update export.py

* Update plots.py

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

* Load checkpoint on CPU instead of on GPU

* refactor: simplify code

* Cleanup

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

* Update batch-size in model.warmup() + indentation for logging inference results

* These changes are in response to PR comments

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* Edge TPU `tf.lite.experimental.load_delegate` fix

Fix attempt for #6535

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* Edge TPU compiler sudo fix

Allows for auto-install of Edge TPU compiler on non-sudo systems like the YOLOv5 Docker image.

@kalenmike

* Update export.py

* Update export.py

* Update export.py

* Social icons after text

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* Update README.md
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* 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