* Migrate dataset names to dictionary

* fix check

* backwards compat

* predict fix

* val fix

* Keep dataset stats behavior identical
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

Includes v6.2 updates
Signed-off-by: KieraMengru0907 <108015280+KieraMengru0907@users.noreply.github.com>
Signed-off-by: KieraMengru0907 <108015280+KieraMengru0907@users.noreply.github.com>

* Update attempt_download(release='v6.2')
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update README.md
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update

* Logger step fix: Increment step with epochs (#8654)

* enhance

* revert

* allow training from scratch

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

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

* Update --img argument from train.py 

single line

* fix image size from 640 to 128

* suport custom dataloader and augmentation

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

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

* format

* Update dataloaders.py

* Single line return, single line comment, remove unused argument

* address PR comments

* fix spelling

* don't augment eval set

* use fstring

* update augmentations.py

* new maning convention for transforms

* reverse if statement, inline ops

* reverse if statement, inline ops

* updates

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

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

* update dataloaders

* Remove additional if statement

* Remove is_train as redundant

* Cleanup

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

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

* Cleanup2

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

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

* Update classifier.py

* Update augmentations.py

* fix: imshow clip warning

* update

* Revert ToTensorV2 removal

* Update classifier.py

* Update normalize values, revert uint8

* normalize image using cv2

* remove dedundant comment

* Update classifier.py

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

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

* replace print with logger

* commit steps

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

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Allow logging models from GenericLogger (#8676)

* enhance

* revert

* allow training from scratch

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

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

* Update --img argument from train.py 

single line

* fix image size from 640 to 128

* suport custom dataloader and augmentation

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

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

* format

* Update dataloaders.py

* Single line return, single line comment, remove unused argument

* address PR comments

* fix spelling

* don't augment eval set

* use fstring

* update augmentations.py

* new maning convention for transforms

* reverse if statement, inline ops

* reverse if statement, inline ops

* updates

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

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

* update dataloaders

* Remove additional if statement

* Remove is_train as redundant

* Cleanup

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

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

* Cleanup2

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

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

* Update classifier.py

* Update augmentations.py

* fix: imshow clip warning

* update

* Revert ToTensorV2 removal

* Update classifier.py

* Update normalize values, revert uint8

* normalize image using cv2

* remove dedundant comment

* Update classifier.py

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

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

* replace print with logger

* commit steps

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

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

* support final model logging

* update

* update

* update

* update

* remove curses

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

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

* Update classifier.py

* Update __init__.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

* Update

* Update dataset download

* Update dataset download

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Pass imgsz to classify_transforms()

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Cos scheduler

* Cos scheduler

* Remove unused args

* Update

* Add seed

* Add seed

* Update

* Update

* Add run(), main()

* Merge master

* Merge master

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Create YOLOv5 BaseModel class (#8829)

* Create BaseModel

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

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

* fix

* Hub load device fix

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

* Add experiment

* Merge master

* Attach names

* weight decay = 1e-4

* weight decay = 5e-5

* update smart_optimizer console printout

* fashion-mnist fix

* Merge master

* Update Table

* Update Table

* Remove destroy process group

* add kwargs to forward()

* fuse fix for resnet50

* nc, names fix for resnet50

* nc, names fix for resnet50

* ONNX CPU inference fix

* revert

* cuda

* if augment or visualize

* if augment or visualize

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

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

* New smart_inference_mode()

* Update README

* Refactor into /classify dir

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

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

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

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

* reset defaults

* reset defaults

* fix gpu predict

* warmup

* ema half fix

* spacing

* remove data

* remove cache

* remove denormalize

* save run settings

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

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

* verbose false on initial plots

* new save_yaml() function

* Update ci-testing.yml

* Path(data) CI fix

* Separate classification CI

* fix val

* fix val

* fix val

* smartCrossEntropyLoss

* skip validation on hub load

* autodownload with working dir root

* str(data)

* Dataset usage example

* im_show normalize

* im_show normalize

* add imagenet simple names to multibackend

* Add validation speeds

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

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

* 24-space names

* Update bash scripts

* Update permissions

* Add bash script arguments

* remove verbose

* TRT data fix

* names generator fix

* optimize if names

* update usage

* Add local loading

* Verbose=False

* update names printing

* Add Usage examples

* Add Usage examples

* Add Usage examples

* Add Usage examples

* named_children

* reshape_classifier_outputs

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

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

* update

* update

* fix CI

* fix incorrect class substitution

* fix incorrect class substitution

* remove denormalize

* ravel fix

* cleanup

* update opt file printing

* update opt file printing

* update defaults

* add opt to checkpoint

* Add warning

* Add comment

* plot half bug fix

* Use NotImplementedError

* fix export shape report

* Fix TRT load

* cleanup CI

* profile comment

* CI fix

* Add cls models

* avoid inplace error

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

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

* Fix usage examples

* Update README

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

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

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* Replace torchvision annotator with native local Annotator

* Add colored bounding boxes and rewrite for efficiency

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

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

* Fix pep8 issue

* Update clearml_utils.py

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

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

* Update clearml_utils.py

* Reduced conf_threshold to 0.25 to match defaults

The 0.25 default conf threshold value is used a default throughout YOLOv5 (i.e. in detect.py) and also in other tools like CoreML
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>

* Fix bug with resume

* restore del on resume=false

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

Resolve duplicate outputs in colab. Also optimizes Colab and Kaggle environment checks.
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* allow to serve multiple models using flask restapi

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

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

* Cleanup

* Update restapi.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>

* Fix duplicate LOGGER output

* Update general.py

New smart_inference_mode()

* GFLOPs computation fix for classification models

Improved robustness in reading input channel count

* Update torch_utils.py

* Update torch_utils.py

May resolve https://github.com/ultralytics/yolov5/issues/7307

* fix: added transparent image and empty alt to social bar

* fix: remove underlines

* fix: hide underlines for all social links

* fix: always unzip into folder

* Deci.ai updates

Content implementation for https://deci.ai/

* Update README.md

* Update README.md

* Update README.md

* Fix `--source 'path/*.jpg'` glob example

* Update README_cn.md

* Update tutorial.ipynb

* Direct download table links

Per recent partner feedback

* Update README_cn.md

* Update README_cn.md

* Update README.md

* Update README_cn.md

* Update README.md

* Add torch==1.7.0 to CI tests

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Attempt crash on 1.7.0

* revert crash

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Scope `torchvision.utils.draw_bounding_boxes` import

Quick fix for https://github.com/ultralytics/yolov5/issues/8898#issuecomment-1208851874 until a more permanent fix is implemented

* Update clearml_utils.py

The notes says "Return True if directory has write permissions", however, the code below is "os.R_OK", I think "os.W_OK" is preferred.

Resolves https://github.com/ultralytics/yolov5/issues/8842

* Fix anchor incorrectly initialized

Using --noautoanchor and --evolve simultaneously leads to anchor incorrectly initialized. --noautoanchor denotes anchors don't need to evolve, thus removing anchors from hyp will fix it.

* Update train.py

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

* fix: added transparent image and empty alt to social bar

* fix: remove underlines

* fix: hide underlines for all social links

* Update image URLs to ultralytics/assets

* Update bottom 3% icons

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

* emoji-safe default logging

* implement everywhere

Update smart_optimizer() weight_decay reporting