* emoji-safe default logging

* implement everywhere

Update smart_optimizer() weight_decay reporting

* Add titles to matplotlib plots

* Add ClearML Experiment Tracking integration.

* Add ClearML Data Version Management automatic download when requested

* Add ClearML Hyperparameter Optimization

* ClearML save period integration

* Fix wandb breaking when used with ClearML dataset

* Fix wandb breaking when used with ClearML resume and dataset

* Add ClearML documentation

* fixed small bug in clearml integration that misreports epoch number

* Final ClearMl additions before refactor

* Add correct epoch reporting

* Add remote execution and autoscaling docs for ClearML integration

* Added images to clearml integration docs

* fixed logo alignment bug and added hpo screenshot clearml

* Fixed small epoch number bug in clearml integration

* Remove saved model flush clearml

* Cleanup clearml readme section

* Cleaned up clearml logger docstring

* Remove resume readme section clearml

* Clearml integration cleanup

* Updated ClearML documentation

* Added dark vs light icons ClearML Readme

* Clearml Readme styling

* Add better gifs

* Fixed gif file size

* Add better images in tutorial notebook

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

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

* Addressed comments in PR #8620

* Fixed circular import

* Fixed circular import

* Update tutorial.ipynb

* Update tutorial.ipynb

* Inline comment

* Restructured tutorial notebook

* Add correct ClearML link to README

* Update tutorial.ipynb

* Update general.py

* Update __init__.py

* Update __init__.py

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

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

* Update __init__.py

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

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

* Update __init__.py

* Update README.md

* Update __init__.py

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

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

* spelling

* Update tutorial.ipynb

* notebook cutt.ly links

* Update README.md

* Update README.md

* cutt.ly links in tutorial

* Removed labels as they show up on last subplot only
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update CI to default Python 3.10

* Update ci-testing.yml

* Update ci-testing.yml

--resume training from URL weights fix

@kalenmike should fix data error on HUB resume

@kalenmike

@kalenmike should represent a 30% filesize reduction vs 75 quality

* Fix TensorRT --dynamic excess outputs bug

Potential fix for https://github.com/ultralytics/yolov5/issues/8790

* Cleanup

* Update common.py

* Update common.py

* New fix

May help https://github.com/ultralytics/yolov5/issues/8862

* export.py replace `check_file` -> `check_yaml`

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

for more information, see https://pre-commit.ciCo-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* Add check_file(data) i.e. `--data coco128.yaml`

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

for more information, see https://pre-commit.ciCo-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* Single checkpoint resume

* Update train.py

* Add hyp

* Add hyp

* Add hyp

* FIX

* avoid resume on url data

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

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

* avoid resume on url data

* avoid resume on url data

* Update
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* New `smart_resume()`

* Update torch_utils.py

* Update torch_utils.py

* Update torch_utils.py

* fix

* Update hubconf.py

Loading a custom yolov model causes this line to fail. Adding a test to check if the model actually has a model.model field. With this check, I'm able to load the model no prob.

Loading model via

```py
    model = torch.hub.load(
        'ultralytics/yolov5', 'custom', 'models/frozen_backbone_coco_unlabeled_best.onnx',
        autoshape=True, force_reload=False
    )
```

Causes traceback:

```
Traceback (most recent call last):
  File "/Users/jackson/Documents/GitHub/w210-capstone/.venv/lib/python3.10/site-packages/flask/app.py", line 2077, in wsgi_app
    response = self.full_dispatch_request()
  File "/Users/jackson/Documents/GitHub/w210-capstone/.venv/lib/python3.10/site-packages/flask/app.py", line 1525, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/Users/jackson/Documents/GitHub/w210-capstone/.venv/lib/python3.10/site-packages/flask/app.py", line 1523, in full_dispatch_request
    rv = self.dispatch_request()
  File "/Users/jackson/Documents/GitHub/w210-capstone/.venv/lib/python3.10/site-packages/flask/app.py", line 1509, in dispatch_request
    return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)
  File "/Users/jackson/Documents/GitHub/w210-capstone/api/endpoints/predictions.py", line 26, in post_predictions
    yolov_predictions = predict_bounding_boxes_for_collection(collection_id)
  File "/Users/jackson/Documents/GitHub/w210-capstone/api/predictions/predict_bounding_boxes.py", line 43, in predict_bounding_boxes_for_collection
    model = torch.hub.load(
  File "/Users/jackson/Documents/GitHub/w210-capstone/.venv/lib/python3.10/site-packages/torch/hub.py", line 404, in load
    model = _load_local(repo_or_dir, model, *args, **kwargs)
  File "/Users/jackson/Documents/GitHub/w210-capstone/.venv/lib/python3.10/site-packages/torch/hub.py", line 433, in _load_local
    model = entry(*args, **kwargs)
  File "/Users/jackson/.cache/torch/hub/ultralytics_yolov5_master/hubconf.py", line 72, in custom
    return _create(path, autoshape=autoshape, verbose=_verbose, device=device)
  File "/Users/jackson/.cache/torch/hub/ultralytics_yolov5_master/hubconf.py", line 67, in _create
    raise Exception(s) from e
Exception: 'DetectMultiBackend' object has no attribute 'model'. Cache may be out of date, try `force_reload=True` or see https://github.com/ultralytics/yolov5/issues/36 for help.
Exception on /api/v1/predictions [POST]
Traceback (most recent call last):
  File "/Users/jackson/.cache/torch/hub/ultralytics_yolov5_master/hubconf.py", line 58, in _create
    model.model.model[-1].inplace = False  # Detect.inplace=False for safe multithread inference
  File "/Users/jackson/Documents/GitHub/w210-capstone/.venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1185, in __getattr__
    raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'DetectMultiBackend' object has no attribute 'model'
```

* Update hubconf.py

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

updates:
- [github.com/asottile/pyupgrade: v2.34.0 → v2.37.3](https://github.com/asottile/pyupgrade/compare/v2.34.0...v2.37.3)
- [github.com/PyCQA/flake8: 4.0.1 → 5.0.2](https://github.com/PyCQA/flake8/compare/4.0.1...5.0.2)
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

Update

* Remove hook `torch.nan_to_num(x)`

Observed erratic training behavior (green line) with the nan_to_num hook in classifier branch. I'm going to remove it from master.

* Update train.py

* Update README.md with contributors.png

Replace dynamic svg from opencollective with static png for improved stability and lighter size (400kB vs 2MB).

@AyushExel

* Update README.md

* Update README.md

* Update README_cn.md

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

for more information, see https://pre-commit.ciCo-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* Add tensor hooks and gradient clipping https://github.com/ultralytics/yolov5/issues/8578

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

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

* Remove retain_grad(), because its not necessary

* Update train.py

* Simplify

* Update train.py

* Update train.py

* Update train.py

* Update train.py
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update

* Update

* Update .pre-commit-config.yaml

Comment EOF fixer

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

for more information, see https://pre-commit.ciCo-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* Add remote ultralytics and check git status with that

* Simplify

* Update general.py

* Update general.py

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

* Update ci-testing.yml streamlined tests

* Update ci-testing.yml

* Update ci-testing.yml

Resolves https://github.com/ultralytics/yolov5/issues/8791

Bug first introduced in #8782

Disable FP16 validation if AMP checks fail or amp=False.

Detect.inplace=False for safe multithread inference