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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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* dataloaders: fix class filtering for segmentation
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self.segments is a tuple so it has to be converted into a list first
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Corrected the tensor shape in the doc string.
The incoming masks are stacked in dim=0 therefore the doc is wrong
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* fix: utils/google_app_engine/additional_requirements.txt to reduce vulnerabilities
The following vulnerabilities are fixed by pinning transitive dependencies:
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- https://snyk.io/vuln/SNYK-PYTHON-WERKZEUG-3319936
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* Allow int8 quantization for export_tfjs
--int8 param currently has no effect on export_tfjs. With this change,
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* Update Dockerfile
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* Security improvements
* Security improvements
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* Security improvements
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fix: utils/google_app_engine/additional_requirements.txt to reduce vulnerabilities
The following vulnerabilities are fixed by pinning transitive dependencies:
- https://snyk.io/vuln/SNYK-PYTHON-GUNICORN-541164
* Update Dockerfile `FROM pytorch/pytorch:latest`
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* isort
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* Cleanup
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* Cleanup
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* fix bug "resize to 0"
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* sort by confidence and remove excess boxes without explicit if
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* cleanup indexing boxes for remove excess boxes
it is related to https://github.com/ultralytics/yolov5/pull/10502.
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* set seed with parameter
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* Checks conf_thres and iou_thres at beign
Why checks conf_thres after operation with it?
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* Update general.py
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* Added basic flag to enable reusing last task clearml
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* Update streams.txt default
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* Change streams list extension to .streams
* Read txt as media per line
* Missed one
* Missed another one
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* Update detect.py
* Update dataloaders.py
* Update detect.py
* Update predict.py
* Update predict.py
* Update README.md
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* process_mask_native() cleanup
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* fix arg name
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when there is `nan` in evolve.csv pandas read it as str
remove the space before fix that
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* fix plot&&speed up
* fix segment save-txt
* fix channel
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* Scope gitpyhon import in `check_git_info()`
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* New global TQDM_BAR_FORMAT
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* Simplify dataloader tqdm descriptions
@AyushExel this should help our tqdm dataloader messages fit better within a single line in our Colab notebooks and also help avoid confusion about missing/empty labels, now combined into 'backgrounds'.
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* fix: try 2 - prevent logging config clobbering
Previous behavior: loading this repository with `torch.hub.load` clobbers the existing logging configuration by modifying the root logger's configuration.
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Signed-off-by: Ryan Echols <ryan@shadylakemedia.com>
* chore: fill in comment
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Previous behavior: loading this repository with `torch.hub.load` clobbers the existing logging configuration by modifying the root logger's configuration.
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* Fix dataloader filepath modification to perform only once and not for all occurences of string
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Remove box area function and support expandable bbox_iou() calls.
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* Mapped project and name to ClearML
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* AutoCache
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* fix: switched from suffix checks to archive checks
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* Cleanup
seems like both functions accept Path type input so removing str()
* import always
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Glenn Jocher
Grzegorz K
Eljas Hyyrynen
imyhxy
Sheng Hu
Jonas Heinle
Snyk bot
Aarni Koskela
David Strahm
dependabot[bot]
Laughing
ZhuGeRoastedFish
Mr.Li
Yonghye Kwon
nerdyespresso
Victor Sonck
Colin Wong
Michael Sutton
Michael Ben ami
Hu Ye
Ryan Echols
tripleMu
Ryan Echols
Amol Dumrewal
Kalen Michael