Commit Graph

16 Commits (6dd17516c8610fca8a75b8c003866c1bbe921daa)

Author SHA1 Message Date
imyhxy 4db6757ef9
Fixed access 'names' from a DistributedDataParallel module (#11023) 2023-02-20 11:23:13 +01:00
Glenn Jocher 7a972e86c4
Update .pre-commit-config.yaml (#11009)
* Update .pre-commit-config.yaml

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

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* Update __init__.py

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* Update .pre-commit-config.yaml

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* Pre-commit updates

* Pre-commit updates

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2023-02-18 01:06:24 +01:00
Aarni Koskela a2de5c5bf6
Subprocess improvements (#10973)
* Use list-form arguments for subprocess.run calls where possible

Augments #10944

* Deduplicate curl code

* Avoid eval() to parse integer

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2023-02-13 18:00:31 +04:00
Wang Xin 43623729cc
Update train.py (#10485)
Setting `master_port` to 1 may cause `Permission denied` due to failure to bind the port. So it is better to set it to a port greater than 1024.

Signed-off-by: Wang Xin <xinwang614@gmail.com>

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2022-12-17 12:55:08 +01:00
Glenn Jocher 40bb8030f8
Scope gitpyhon import in `check_git_info()` (#10221)
* Scope gitpyhon import in `check_git_info()`

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2022-11-19 14:22:07 +01:00
Glenn Jocher 0307954e4e
Add git info to cls, seg checkpoints (#10217) 2022-11-19 03:32:21 +01:00
Glenn Jocher 0322bb3196
New global `TQDM_BAR_FORMAT` (#10211)
* New global TQDM_BAR_FORMAT

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2022-11-18 21:39:13 +01:00
Glenn Jocher ca9c993d6c
Standardize warnings with `WARNING ⚠️ ...` (#9467)
* Standardize warnings

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2022-09-18 16:15:25 +02:00
Glenn Jocher 295c5e9d3c
Update ClassificationModel default training `imgsz=224` (#9469)
Update ClassificationModel default training imgsz=224

To match classify/val.py and classify/predict.py

Helps https://github.com/ultralytics/yolov5/issues/9462

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

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2022-09-18 16:13:22 +02:00
Glenn Jocher 06831aa9e9
Improved Usage example docstrings (#9075)
* Updated Usage examples

* Update detect.py

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* Update predict.py

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2022-08-22 01:06:29 +02:00
Glenn Jocher 781401ec70
Default --data `imagenette160` training (fastest) (#9033)
* Default --data `imagenette160` training (fastest)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update train.py

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* Update train.py

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* Update train.py

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2022-08-19 15:06:37 +02:00
Glenn Jocher 840b7232db
Attach transforms to model (#9028)
* Attach transforms to model

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update val.py

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* Update train.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

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2022-08-19 01:59:51 +02:00
glennjocher 5c854fab5e requires grad after reset params 2022-08-18 02:44:50 +02:00
Glenn Jocher 6728dad76d
Add weight `decay` to argparser (#9006)
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2022-08-17 22:57:55 +02:00
Glenn Jocher e617569107
Improve classification comments (#8997) 2022-08-17 15:33:37 +02:00
Glenn Jocher d3ea0df8b9
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

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* 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

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* Remove is_train as redundant

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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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* Update

* Update

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* 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

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* 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

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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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* support final model logging

* update

* update

* update

* update

* remove curses

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* Update classifier.py

* Update __init__.py

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* 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

* Update

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* 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

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* 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

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* Fix usage examples

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* Update README

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2022-08-17 11:59:01 +02:00