ultralytics / yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite
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What's the difference between it and Yolov3 by Joseph Redmon ? #2151

Closed fyang5 closed 7 months ago

fyang5 commented 9 months ago

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Question

Hi, Would you confirm what 's the difference between this Yolov3 and Yolov3 by Joseph Redmon from https://github.com/pjreddie/darknet, except the difference between python and C? Thanks!

Additional

https://github.com/pjreddie/darknet

github-actions[bot] commented 9 months ago

👋 Hello @fyang5, thank you for your interest in YOLOv3 🚀! 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.

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glenn-jocher commented 9 months ago

@fyang5 hi there! The main difference lies in the underlying framework. Our YOLOv3 is implemented in PyTorch, whereas Joseph Redmon's YOLOv3 is in C with the Darknet framework. Both offer the same great functionality. For more details, feel free to check out the Ultralytics Docs at https://docs.ultralytics.com. Cheers! 🚀

fyang5 commented 9 months ago

@glenn-jocher Hi Glenn-Jocher, Thanks for your reply! I know Redmon's Yolov3 is in C, and I would like to know whether any of the models of Yolov3 in your yaml files used the same Darknet framework as Redmon's. I saw there exist yolov3.yaml, yolov3-spp.yaml and yolov3-tiny.yaml under /models/. Thanks!

glenn-jocher commented 9 months ago

@fyang5 You're welcome! Our YOLOv3 models in the yaml files are implemented using PyTorch, not the Darknet framework. They are specifically designed for use with PyTorch. If you have further questions, feel free to explore the Ultralytics Docs at https://docs.ultralytics.com. Happy coding! 😊

wangwin4 commented 8 months ago

Hi, I was wondering if you have any plans to update yolov4

glenn-jocher commented 8 months ago

@wangwin4 We are continually improving our models and do have plans to update YOLOv4 in the future. Stay tuned for updates! If you have any specific features or improvements in mind, we'd love to hear your thoughts. For more details, take a look at the Ultralytics Docs at https://docs.ultralytics.com. Happy detecting! 🚀

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