New YOLOv5 Classification Models (#8956)
* Update
* Logger step fix: Increment step with epochs (#8654)
* enhance
* revert
* allow training from scratch
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* Update --img argument from train.py
single line
* fix image size from 640 to 128
* suport custom dataloader and augmentation
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* 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
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* update dataloaders
* Remove additional if statement
* Remove is_train as redundant
* Cleanup
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* Cleanup2
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* 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
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* replace print with logger
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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>
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* 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
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* support final model logging
* update
* update
* update
* update
* remove curses
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* 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
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* Update
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* Pass imgsz to classify_transforms()
* Update
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* Update
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* Update
* Update
* Update
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* Update
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* 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
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* fix
* Hub load device fix
* Update
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* 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
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* New smart_inference_mode()
* Update README
* Refactor into /classify dir
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* reset defaults
* reset defaults
* fix gpu predict
* warmup
* ema half fix
* spacing
* remove data
* remove cache
* remove denormalize
* save run settings
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* 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
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* 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
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* 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
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* Fix usage examples
* Update README
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* 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>
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