Example of using ESP32 with GSM modem and lwip+pppos

Semi Global Matching (SGM) CPU reference implementation

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

Semi-Global Matching

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

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！

DMX512 to SGM256 Converter

depth map computation

学习SGM算法用，算法照搬repo[https://github.com/ethan-li-coding/SemiGlobalMatching], 相比之下实现了对应的linux平台版本

Stereo-image depth reconstruction with different matching costs and matching algorithms in Python using Numpy and Numba

An electron wrapper over SGM using nativefier

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。

GPU implementation of SGM for ROS

University course

libStereoMatch is a universal stereo matching library. This library is developed using C++and divides the stereo matching steps into four steps: cost calculation, cost aggregation, disparity calculation, and disparity optimization. Users can build their own stereo matching algorithms through combination.

SGM to OBJ converter and Blender import plugin for Rayne SGM files

SGM Generasi Maju Tools

open Multi-View Stereo reconstruction library