Streamlined the segmentation tutorial notebook by removing extensive markdown explanations, redundant setup steps, and output logs. The revision focuses on a concise presentation of core functionalities like predicting, validating, and training models.
* Refactor code for speed and clarity
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* Refactor code for speed and clarity
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* Add license line to .github/ISSUE_TEMPLATE/bug-report.yml
* Add license line to .github/ISSUE_TEMPLATE/config.yml
* Add license line to .github/ISSUE_TEMPLATE/feature-request.yml
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* Add license line to benchmarks.py
* Add license line to classify/predict.py
* Add license line to classify/train.py
* Add license line to classify/val.py
* Add license line to data/Argoverse.yaml
* Add license line to data/GlobalWheat2020.yaml
* Add license line to data/ImageNet.yaml
* Add license line to data/ImageNet10.yaml
* Add license line to data/ImageNet100.yaml
* Add license line to data/ImageNet1000.yaml
* Add license line to data/Objects365.yaml
* Add license line to data/SKU-110K.yaml
* Add license line to data/VOC.yaml
* Add license line to data/VisDrone.yaml
* Add license line to data/coco.yaml
* Add license line to data/coco128-seg.yaml
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* Add license line to data/hyps/hyp.VOC.yaml
* Add license line to data/hyps/hyp.no-augmentation.yaml
* Add license line to data/hyps/hyp.scratch-high.yaml
* Add license line to data/hyps/hyp.scratch-low.yaml
* Add license line to data/hyps/hyp.scratch-med.yaml
* Add license line to data/xView.yaml
* Add license line to detect.py
* Add license line to export.py
* Add license line to hubconf.py
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* Add license line to models/experimental.py
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* Add license line to models/hub/yolov5-p6.yaml
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* Add license line to models/hub/yolov5-panet.yaml
* Add license line to models/hub/yolov5l6.yaml
* Add license line to models/hub/yolov5m6.yaml
* Add license line to models/hub/yolov5n6.yaml
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* Add license line to models/hub/yolov5x6.yaml
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* Add license line to models/segment/yolov5x-seg.yaml
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* Add license line to models/yolo.py
* Add license line to models/yolov5l.yaml
* Add license line to models/yolov5m.yaml
* Add license line to models/yolov5n.yaml
* Add license line to models/yolov5s.yaml
* Add license line to models/yolov5x.yaml
* Add license line to pyproject.toml
* Add license line to segment/predict.py
* Add license line to segment/train.py
* Add license line to segment/val.py
* Add license line to train.py
* Add license line to utils/__init__.py
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* Add license line to utils/autobatch.py
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* Add license line to utils/callbacks.py
* Add license line to utils/dataloaders.py
* Add license line to utils/downloads.py
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* Add license line to utils/general.py
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* Add license line to utils/loggers/comet/__init__.py
* Add license line to utils/loggers/comet/comet_utils.py
* Add license line to utils/loggers/comet/hpo.py
* Add license line to utils/loggers/wandb/wandb_utils.py
* Add license line to utils/loss.py
* Add license line to utils/metrics.py
* Add license line to utils/plots.py
* Add license line to utils/segment/augmentations.py
* Add license line to utils/segment/dataloaders.py
* Add license line to utils/segment/general.py
* Add license line to utils/segment/loss.py
* Add license line to utils/segment/metrics.py
* Add license line to utils/segment/plots.py
* Add license line to utils/torch_utils.py
* Add license line to utils/triton.py
* Add license line to val.py
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* Update ImageNet1000.yaml
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update selectable device Profile
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* Import Annotator class from `ultralytics` package
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* Import Annotator class from `ultralytics` package
* Update requirements.txt
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* Update links
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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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* Security improvements
* Security improvements
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* Update streams.txt default
Signed-off-by: Colin Wong <cwongmath@gmail.com>
* Change streams list extension to .streams
* Read txt as media per line
* Missed one
* Missed another one
* Update dataloaders.py
* Update detect.py
* Update dataloaders.py
* Update detect.py
* Update predict.py
* Update predict.py
* Update README.md
Signed-off-by: Colin Wong <cwongmath@gmail.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* process_mask_native() cleanup
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* fix arg name
* cleanup anno_json
* Remove scale_image
* Remove scale_image
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* update to native
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* fix plot&&speed up
* fix segment save-txt
* fix channel
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Glenn Jocher
Paula Derrenger
Ultralytics Assistant
RainRat
Yakuho
imyhxy
Iker Lluvia
Aarni Koskela
nerdyespresso
Leander van Eekelen
Colin Wong
Laughing