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SSD: Single Shot MultiBox Object Detector, in PyTorch A PyTorch implementation of Single Shot MultiBox Detector from the 2016 paper by Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang, and Alexander C. Berg. The official and original Caffe code can be found here. Table of Contents Installation Datasets Train Evaluate Performance Demos Future Work Reference

此ransac为图像匹配的一个重要环节，可以实现更复杂的图像匹配(The RANSAC is an important part of image matching, the image can be more complex matching)

基于MAP的超分辨率重建算法，附有说明，使得大家方便运行。(The super-resolution by map.)

本程序是基于小波包的图像分割，内附有程序运行的图像(This procedure is based on the wavelet packet image segmentation, containing the procedures for running the image)

YUV420p图像的融合渲染，支持任意位置的融合，并支持alpha的渲染(Fusion YUV420p image rendering, support converged anywhere and supports alpha rendering)

基于规格化Hough变换的天波超视距雷达检测前跟踪算法(Hough transform based on the normalized horizon radar detection and tracking algorithms)

点云的配准实验s-icp算法 实现两个点云数据的对准(A scale stretch method based on ICP for 3D data registration)

说明：  分布式合成孔径雷达成像仿真，包含像素级配准。(Distributed Simulation of synthetic aperture radar imaging, including pixel-level registration.)

说明：  用于图像边缘检测，使用matlab检测图像边缘特征(For image edge detection, use matlab to detect image edge features)

说明：  使用matlab实现脑磁共振图像的海马体分割(Using MATLAB to segment the hippocampus of brain MR images)