longcw/yolo2-pytorch

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1560 stars · 413 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A PyTorch implementation of the YOLOv2 real-time object detection model, based on darknet and darkflow. It includes training and inference code for datasets like Pascal VOC, with a Cython postprocessing extension for speed.

Use cases

• run YOLOv2 object detection in PyTorch
• train YOLOv2 on a custom dataset
• convert darknet YOLO weights to PyTorch
• detect objects in images with a pretrained VOC model
• study a YOLOv2 reference implementation
• benchmark YOLOv2 inference speed on VOC2007

When to choose

• you specifically need YOLOv2 architecture in PyTorch for research or reproduction
• you want a readable reference implementation of YOLOv2 training and inference
• you are working with legacy PyTorch (<=0.4) codebases

When to avoid

• you need a maintained library compatible with modern PyTorch versions
• you want state-of-the-art detection accuracy or newer YOLO variants
• you need production-ready object detection with community support
• you require a permissively licensed dependency, since no license is specified

Facets

library · maturity abandoned

machine-learning deep-learning computer-vision image-processing deep-learning computer-vision machine-learning image-processing python cross-platform object-detection yolo yolov2 pytorch darknet pascal-voc real-time-detection no-longer-maintained gpu linux

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