WongKinYiu/PyTorch_YOLOv4
PyTorch implementation of YOLOv4 object detection model with segmentation support and advanced training techniques.
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This repository provides a PyTorch implementation of YOLOv4, a state-of-the-art object detection model. The implementation supports object detection, instance segmentation, and semantic segmentation tasks. It includes various advanced loss functions (RS loss, aLRP loss, AP loss, alpha IoU), attention modules, and training techniques. The project is based on the original Darknet implementation and Ultralytics’ YOLOv3 work.
Frequently asked
- What is WongKinYiu/PyTorch_YOLOv4?
- PyTorch implementation of YOLOv4 object detection model with segmentation support and advanced training techniques.
- Is PyTorch_YOLOv4 open source?
- Yes — WongKinYiu/PyTorch_YOLOv4 is an open-source project tracked on heatdrop.
- What language is PyTorch_YOLOv4 written in?
- WongKinYiu/PyTorch_YOLOv4 is primarily written in Python.
- How popular is PyTorch_YOLOv4?
- WongKinYiu/PyTorch_YOLOv4 has 1.9k stars on GitHub.
- Where can I find PyTorch_YOLOv4?
- WongKinYiu/PyTorch_YOLOv4 is on GitHub at https://github.com/WongKinYiu/PyTorch_YOLOv4.