SeanChenxy / TDRN

A Dual Refinement Mechanism for Real-World Visual Detection

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A Dual Refinement Mechanism for Real-World Visual Detection

Inrtroduction

This repository is initially based on ssd.pytorch, and some modules are from RFBNet and deformable-convolution-pytorch, a huge thank to them.

We currently only support PyTorch-0.4.0 and CUDA 8.0. ./make.sh is required for DeformableConv and COCO tools during installation.

Models

Our models are aviliable at GoogleDrive and BaiduYun

Train

cd script
./train.sh
./train_trn.sh

Eval

cd script
./batch_eval.sh
./batch_eval_trn.sh

Paper

arXiv paper describes this project in detail.

Xingyu Chen, Junzhi Yu, Shihan Kong, Zhengxing Wu, and Li Wen, "Towards Real-Time Accurate Object Detection in Both Images and Videos Based on Dual Refinement", arXiv:1807.08638, 2018.

About

A Dual Refinement Mechanism for Real-World Visual Detection

License:MIT License


Languages

Language:Python 87.4%Language:C 5.3%Language:Cuda 4.5%Language:Shell 2.5%Language:C++ 0.4%