This reverts commit 360eec69.

* Update notebook

* Update notebook

* update string

* update string

* Updates

* Updates

* Updates

* check both ipython and psutil

* remove sample_data if is_colab

* cleanup

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* Add ONNX inference providers

Fix for https://github.com/ultralytics/yolov5/issues/5916

* Update common.py

* Add *.engine (TensorRT extensions) to .gitignore

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

debugged for missigned Detections attributes

* Export multiple models in series

Export multiple models in series by adding additional `*.pt` files to the `--weights` argument, i.e.:

```bash
python export.py --include tflite --weights yolov5n.pt  # export 1 model
python export.py --include tflite --weights yolov5n.pt yolov5s.pt yolov5m.pt yolov5l.pt yolov5x.pt  # export 5 models
```

* Update export.py

* Update README.md

* Update AutoShape()

* autodownload ONNX

* Cleanup

* Finish updates

* Add Usage

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* fix device

* Update hubconf.py

* Update common.py

* smart param selection

* autodownload all formats

* autopad only pytorch models

* new_shape edits

* stride tensor fix

* Cleanup

shallow copy modify originals

* Update val.py

Add an option to choose number of workers if not called by train.py

* Update comment

* 120 char line width
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* Update val.py

Solving Non-ASCII character '\xf0' error during runtime

* Update val.py
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Video errors may occur.

When OpenCV retrieving image fail, original code would modify source images **inplace**, which may result in plotting bounding boxes on a black image. That is, before inference, source image `im0s[i]` is OK, but after inference before `Process predictions`,  `im0s[i]` may have been changed.

* `try: except (..., wandb.errors.UsageError)`

* bug fix

* feat: change file suffix in pythonic way

* fix: enforce binding addresses order

* fix: enforce binding addresses order

Bumps [actions/cache](https://github.com/actions/cache) from 2.1.6 to 2.1.7.
- [Release notes](https://github.com/actions/cache/releases)
- [Commits](https://github.com/actions/cache/compare/v2.1.6...v2.1.7)

---
updated-dependencies:
- dependency-name: actions/cache
  dependency-type: direct:production
  update-type: version-update:semver-patch
...
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* Refactor new `model.warmup()` method

* Add half

* Remove NCOLS from tqdm

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* tensorflow or tflite exclusively as interpreter

As per bug report https://github.com/ultralytics/yolov5/issues/5709 I think there should be only one attempt to assign interpreter, and it appears tflite is only ever needed for the case of edgetpu model.

* Scope imports

* Nested definition line fix

* Update common.py
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* update

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* reformat

* Single-line argparser argument

* Update README.md

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* Update README.md

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* fix path error in export.py

* Update export.py

updated!

* Update export.py

oops forget something

* fix the path error in export.py

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

* Do not save hyp.yaml and opt.yaml on evolve

* Update general.py

* Export and detect with TensorRT engine file

* Resolve `isort`

* Make validation works with TensorRT engine

* feat: update export docstring

* feat: change suffix from *.trt to *.engine

* feat: get rid of pycuda

* feat: make compatiable with val.py

* feat: support detect with fp16 engine

* Add Lite to Edge TPU string

* Remove *.trt comment

* Revert to standard success logger.info string

* Fix Deprecation Warning

```
export.py:310: DeprecationWarning: Use build_serialized_network instead.
  with builder.build_engine(network, config) as engine, open(f, 'wb') as t:
```

* Revert deprecation warning fix

@imyhxy it seems we can't apply the deprecation warning fix because then export fails, so I'm reverting my previous change here.

* Update export.py

* Update export.py

* Update common.py

* export onnx to file before building TensorRT engine file

* feat: triger ONNX export failed early

* feat: load ONNX model from file
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* Add feature map to save npy files

Add feature map to save npy files,export npy files with 32 feature maps per layer.

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* Update plots.py

* Update plots.py

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* Update plots.py
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* SECURITY_1.md

* Delete SECURITY.md
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* prune unused imports

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Updated strategy leaves at least 1 cpu free to avoid system overloads. Partially addresses https://github.com/ultralytics/yolov5/issues/5685

* fix tf.py when anchors not equal to 3

* revert the isort fix

* update the fix to use anchor attribute available already