chenyuntc/simple-faster-rcnn-pytorch
A simplified PyTorch implementation of Faster R-CNN, a deep learning object detection model.
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This project re-implements the Faster R-CNN object detection algorithm in PyTorch. It provides a minimal, readable codebase (~2000 lines) that replicates the original paper’s performance (0.699 mAP on VOC), achieving comparable speed at 6fps training and 14fps testing on a TITAN XP GPU. The implementation uses torchvision’s built-in ROI pooling and NMS operations, removing the need for custom CUDA compilation.
Frequently asked
- What is chenyuntc/simple-faster-rcnn-pytorch?
- A simplified PyTorch implementation of Faster R-CNN, a deep learning object detection model.
- Is simple-faster-rcnn-pytorch open source?
- Yes — chenyuntc/simple-faster-rcnn-pytorch is an open-source project tracked on heatdrop.
- What language is simple-faster-rcnn-pytorch written in?
- chenyuntc/simple-faster-rcnn-pytorch is primarily written in Jupyter Notebook.
- How popular is simple-faster-rcnn-pytorch?
- chenyuntc/simple-faster-rcnn-pytorch has 4k stars on GitHub.
- Where can I find simple-faster-rcnn-pytorch?
- chenyuntc/simple-faster-rcnn-pytorch is on GitHub at https://github.com/chenyuntc/simple-faster-rcnn-pytorch.