sgm

open Multi-View Stereo reconstruction library

SGM，立体匹配StereoMatching最经典应用最广泛算法，4000+引用，兼顾效率和效果。完整实现，代码规范，注释清晰，博客教学，欢迎star！

GA-Net: Guided Aggregation Net for End-to-end Stereo Matching

Example of using ESP32 with GSM modem and lwip+pppos

Semi-Global Matching

这是一个基于CUDA加速的快速立体匹配库，它的核心是SemiglobalMatching（SGM）算法，它不仅在时间效率上要远远优于基于CPU的常规SGM，而且占用明显更少的内存，这意味着它不仅可以在较低分辨率（百万级）图像上达到实时的帧率，且完全具备处理千万级甚至更高量级图像的能力。

Compute disparity map from stereo image with semi global matching algorithm.

Stereo image depth reconstruction with winner-takes-it-all (WTA) and semi-global matching (SGM) with Sum of Absolute Differences (SAD), Sum of Squared Differences (SSD) and Normalized Cross-Correlation (NCC) based matching cost implemented in Python using Numpy and Numba, including Jupyter Notebook

GPU implementation of SGM for ROS

depth map computation

Semi Global Matching (SGM) CPU reference implementation

DMX512 to SGM256 Converter

University course