Deleting as redundant with FUNDING.yml present in organization repo at https://github.com/ultralytics/.github

* set common default stride as 32

* restore default stride, and set it on argument optional

* fix wrong use of opt

* fix missing parameter of stride

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* fix format of parameters

* Update val.py

* Update common.py

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* Print dataset scan only `if RANK in (-1, 0)`

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* Simplify callbacks.py return

* Indent args (pytorch convention)

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* Update export.py

Simplify code.

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* fix: disable usage of root logger

`logging.basicConfig` configures Python's root logger. This prohibits
fine control of logging, overwrites logging configuration done outside
the package, and is not best practice. Instead, the used logger is now
configured directly, and the root logger is untouched.

Example:
    If yolov5 is used as part of another project with some sophisticated
    logging, the internal `logging.basicConfig` call overwrites all the
    external configuration.

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* Update general.py

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* Comment kaggle

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Improved error messages for understanding of user error with val.py. May help https://github.com/ultralytics/yolov5/issues/7291

* enable TensorFlow ops if flag --nms or --agnostic-nms is used

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* [pre-commit.ci] pre-commit suggestions

updates:
- [github.com/asottile/pyupgrade: v2.31.0 → v2.31.1](https://github.com/asottile/pyupgrade/compare/v2.31.0...v2.31.1)
- [github.com/pre-commit/mirrors-yapf: v0.31.0 → v0.32.0](https://github.com/pre-commit/mirrors-yapf/compare/v0.31.0...v0.32.0)

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* Update yolo.py

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* Update activations.py

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* Update tf.py

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* Update

* Update

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* Update restapi.py

* Update restapi.py

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* Cleanup

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* SavedModel TF Serve Fix

Fix for https://github.com/ultralytics/yolov5/issues/7205 proposed by @tylertroy

* Update export.py

* precommit: yapf

* align isort

* fix

# Conflicts:
#	utils/plots.py

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* Update setup.cfg

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* Update wandb_utils.py

* Update augmentations.py

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* Update val.py

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* simplify colorstr

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* val run fix

* export.py last comma

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* Update hubconf.py

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* PyTorch Hub tuple fix

* PyTorch Hub tuple fix2

* PyTorch Hub tuple fix3

* Update setup

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* yolo.py profiling updates

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