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YOLOv7 license #11445

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nick-konovalchuk opened this issue Apr 26, 2023 · 2 comments
Closed
1 task done

YOLOv7 license #11445

nick-konovalchuk opened this issue Apr 26, 2023 · 2 comments
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@nick-konovalchuk
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Hello
I'd say that making YOLO AGPL-3.0 is a bad idea, but I didn't create this issue to discuss this change.
I wanna ask if YOLOv7 can keep it's GPL-3 since it was derived from YOLOv5 when it still had GPL-3 license.

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@nick-konovalchuk nick-konovalchuk added the question Further information is requested label Apr 26, 2023
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👋 Hello @bottledmind, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.

Requirements

Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

Status

YOLOv5 CI

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export and benchmarks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

Introducing YOLOv8 🚀

We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 🚀!

Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.

Check out our YOLOv8 Docs for details and get started with:

pip install ultralytics

@glenn-jocher
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@bottledmind hi, thanks for your question!

Regarding YOLOv5's switch to AGPL-3.0, we made this decision after careful consideration, understanding that it might not be favorable to everyone. However, we believe this change helps protect the project and the contributors involved.

If YOLOv7 was derived from YOLOv5 when it was under the GPL-3 license, they may continue to use that version of the code under the GPL-3 license, as that license still applies to the code at that point in time. However, any new changes, improvements or features that are implemented in YOLOv5 after the switch to AGPL-3.0 cannot be incorporated into YOLOv7 without also adopting the AGPL-3.0 license.

Please let me know if you have any other questions or concerns.

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