argusswift/YOLOv4-pytorch
PyTorch re-implementation of YOLOv4 for object detection with attention modules and MobileNet backbone variants.
Not currently ranked — collecting fresh signals.
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This repository provides a PyTorch implementation of YOLOv4, a popular real-time object detection architecture. It includes attentive variants using SEnet and CBAM attention mechanisms, as well as MobileNetV2 and MobileNetV3 backbone options for faster inference. The project supports training on PASCAL VOC and COCO datasets, includes data augmentation, multi-scale training, and mixed precision (fp16) training capabilities.
Frequently asked
- What is argusswift/YOLOv4-pytorch?
- PyTorch re-implementation of YOLOv4 for object detection with attention modules and MobileNet backbone variants.
- Is YOLOv4-pytorch open source?
- Yes — argusswift/YOLOv4-pytorch is an open-source project tracked on heatdrop.
- What language is YOLOv4-pytorch written in?
- argusswift/YOLOv4-pytorch is primarily written in Python.
- How popular is YOLOv4-pytorch?
- argusswift/YOLOv4-pytorch has 1.7k stars on GitHub.
- Where can I find YOLOv4-pytorch?
- argusswift/YOLOv4-pytorch is on GitHub at https://github.com/argusswift/YOLOv4-pytorch.