BobLiu20/YOLOv3_PyTorch
A complete PyTorch implementation of the YOLOv3 real-time object detection model.
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This repository provides a from-scratch implementation of YOLOv3 and the darknet53 backbone in PyTorch, enabling custom backbone networks like ResNet or DenseNet. It supports training on the COCO dataset with configurable parameters and includes pretrained weights for both the backbone and full model. The project features TensorBoard integration for training visualization and serves as a reference implementation for computer vision researchers.
Frequently asked
- What is BobLiu20/YOLOv3_PyTorch?
- A complete PyTorch implementation of the YOLOv3 real-time object detection model.
- Is YOLOv3_PyTorch open source?
- Yes — BobLiu20/YOLOv3_PyTorch is an open-source project tracked on heatdrop.
- What language is YOLOv3_PyTorch written in?
- BobLiu20/YOLOv3_PyTorch is primarily written in Python.
- How popular is YOLOv3_PyTorch?
- BobLiu20/YOLOv3_PyTorch has 641 stars on GitHub.
- Where can I find YOLOv3_PyTorch?
- BobLiu20/YOLOv3_PyTorch is on GitHub at https://github.com/BobLiu20/YOLOv3_PyTorch.