34cf749958
Update LICENSE to AGPL-3.0 ( #11359 )
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* Update LICENSE to AGPL-3.0
This pull request updates the license of the YOLOv5 project from GNU General Public License v3.0 (GPL-3.0) to GNU Affero General Public License v3.0 (AGPL-3.0).
We at Ultralytics have decided to make this change in order to better protect our intellectual property and ensure that any modifications made to the YOLOv5 source code will be shared back with the community when used over a network.
AGPL-3.0 is very similar to GPL-3.0, but with an additional clause to address the use of software over a network. This change ensures that if someone modifies YOLOv5 and provides it as a service over a network (e.g., through a web application or API), they must also make the source code of their modified version available to users of the service.
This update includes the following changes:
- Replace the `LICENSE` file with the AGPL-3.0 license text
- Update the license reference in the `README.md` file
- Update the license headers in source code files
We believe that this change will promote a more collaborative environment and help drive further innovation within the YOLOv5 community.
Please review the changes and let us know if you have any questions or concerns.
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update headers to AGPL-3.0
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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2023-04-14 14:36:16 +02:00
4db6757ef9
Fixed access 'names' from a DistributedDataParallel module ( #11023 )
2023-02-20 11:23:13 +01:00
7a972e86c4
Update .pre-commit-config.yaml ( #11009 )
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* Update .pre-commit-config.yaml
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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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
a2de5c5bf6
Subprocess improvements ( #10973 )
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* Use list-form arguments for subprocess.run calls where possible
Augments #10944
* Deduplicate curl code
* Avoid eval() to parse integer
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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2023-02-13 18:00:31 +04:00
43623729cc
Update train.py ( #10485 )
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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>
Signed-off-by: Wang Xin <xinwang614@gmail.com>
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
2022-12-17 12:55:08 +01:00
40bb8030f8
Scope gitpyhon import in `check_git_info()` ( #10221 )
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* Scope gitpyhon import in `check_git_info()`
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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2022-11-19 14:22:07 +01:00
0307954e4e
Add git info to cls, seg checkpoints ( #10217 )
2022-11-19 03:32:21 +01:00
0322bb3196
New global `TQDM_BAR_FORMAT` ( #10211 )
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* New global TQDM_BAR_FORMAT
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2022-11-18 21:39:13 +01:00
ca9c993d6c
Standardize warnings with `WARNING ⚠️ ...` ( #9467 )
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* Standardize warnings
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2022-09-18 16:15:25 +02:00
295c5e9d3c
Update ClassificationModel default training `imgsz=224` ( #9469 )
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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>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2022-09-18 16:13:22 +02:00
06831aa9e9
Improved Usage example docstrings ( #9075 )
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* Updated Usage examples
* Update detect.py
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update predict.py
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2022-08-22 01:06:29 +02:00
781401ec70
Default --data `imagenette160` training (fastest) ( #9033 )
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* Default --data `imagenette160` training (fastest)
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update train.py
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update train.py
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update train.py
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2022-08-19 15:06:37 +02:00
840b7232db
Attach transforms to model ( #9028 )
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* Attach transforms to model
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update val.py
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update train.py
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2022-08-19 01:59:51 +02:00
5c854fab5e
requires grad after reset params
2022-08-18 02:44:50 +02:00
6728dad76d
Add weight `decay` to argparser ( #9006 )
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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
e617569107
Improve classification comments ( #8997 )
2022-08-17 15:33:37 +02:00
d3ea0df8b9
New YOLOv5 Classification Models ( #8956 )
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* 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
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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
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* 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
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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
* 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
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* Cleanup2
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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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
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* replace print with logger
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* support final model logging
* update
* update
* update
* update
* remove curses
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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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
* 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
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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
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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
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* verbose false on initial plots
* new save_yaml() function
* Update ci-testing.yml
* Path(data) CI fix
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* fix val
* fix val
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* smartCrossEntropyLoss
* skip validation on hub load
* autodownload with working dir root
* str(data)
* Dataset usage example
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* add imagenet simple names to multibackend
* Add validation speeds
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* 24-space names
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* Add local loading
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* update names printing
* Add Usage examples
* Add Usage examples
* Add Usage examples
* Add Usage examples
* named_children
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* update
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* update opt file printing
* update opt file printing
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* Fix usage examples
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* Update README
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* Update README
* Update README
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* Update README
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2022-08-17 11:59:01 +02:00
Glenn Jocher
imyhxy
Aarni Koskela
Wang Xin