qfgaohao/pytorch-ssd
PyTorch implementation of SSD (Single Shot MultiBox Detector) object detection models using MobileNet and VGG backbones.
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This repository provides a modular implementation of SSD object detection in PyTorch 1.0/0.4, supporting MobileNetV1, MobileNetV2, and VGG-based SSD/SSD-Lite architectures. It includes out-of-box support for retraining on the Google Open Images dataset, ONNX export, and Caffe2 conversion for optimized inference. The project follows a design goal of modularity and extensibility.
Frequently asked
- What is qfgaohao/pytorch-ssd?
- PyTorch implementation of SSD (Single Shot MultiBox Detector) object detection models using MobileNet and VGG backbones.
- Is pytorch-ssd open source?
- Yes — qfgaohao/pytorch-ssd is open source, released under the MIT license.
- What language is pytorch-ssd written in?
- qfgaohao/pytorch-ssd is primarily written in Python.
- How popular is pytorch-ssd?
- qfgaohao/pytorch-ssd has 1.4k stars on GitHub.
- Where can I find pytorch-ssd?
- qfgaohao/pytorch-ssd is on GitHub at https://github.com/qfgaohao/pytorch-ssd.