Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
S2P is a Python library and command line tool that implements a stereo pipeline which produces elevation models from images taken by high resolution optical satellites such as Pléiades, WorldView, QuickBird, Spot or Ikonos. It generates 3D point clouds and digital surface models from stereo…
Warning: this repository is not maintained, please use https://github.com/centreborelli/s2p instead.
A Python package for delineating nested surface depressions from digital elevation data.
الميزات الرئيسية لـ giswqs/lidar هي: Terrain and 3D Reconstruction, معالجة سحابة النقاط (Point Cloud), Terrain and Elevation, Python Geospatial Libraries.
تشمل البدائل مفتوحة المصدر لـ giswqs/lidar: mrharicot/monodepth — Tensorflow implementation of unsupervised single image depth prediction using a convolutional neural network. jzbontar/mc-cnn — Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches. miss3d/s2p — Warning: this repository is not maintained, please use https://github.com/centreborelli/s2p instead. cmla/s2p — S2P is a Python library and command line tool that implements a stereo pipeline which produces elevation models from… intelrealsense/librealsense. cgal/cgal — CGAL is a software library that provides a comprehensive collection of computational geometry algorithms and data…