What's the difference between it and Yolov3 by Joseph Redmon ? about yolov3 HOT 7 CLOSED

👋 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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Requirements

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

git clone https://github.com/ultralytics/yolov3  # clone
cd yolov3
pip install -r requirements.txt  # install

Environments

YOLOv3 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

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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

from yolov3.

@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! 🚀

from yolov3.

@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!

from yolov3.

@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! 😊

from yolov3.

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

from yolov3.

@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! 🚀

from yolov3.

👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.

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Thank you for your contributions to YOLO 🚀 and Vision AI ⭐

from yolov3.