makaay2077

makaay2077's Stars

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21k2523.5k3.6k

• mikeroyal/Photogrammetry-Guide

  Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.

  Language:Python1.1k24079

• Vision-Intelligence-and-Robots-Group/Awesome-Segment-Anything

  A collection of project, papers, and source code for Meta AI's Segment Anything Model (SAM) and related studies.

  3139230

• lijx10/DeepI2P

  DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021

  Language:C++21282036

• kaymal/acik-veri

  Türkiye'nin açık veri kaynakları | Curated list of open data platforms of Turkiye

  62307

• rbhatia46/LiDAR-Road-Analysis

  Given a 3D point cloud obtained by a LiDAR sensor mounted on a car, output the road properties such as road boundaries, lane markings, lane geometry.

  Language:Python143011

• WeikaiTan/RandLA-Net

  Toronto-3D and OpenGF dataset code on RandLA-Net

  Language:Python14203

• aycabingul/Object_Detection_Classification_-_Ford_Otosan_P2

  Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with data collected and labeled by Ford Otosan.

  Language:Python13201

• ErkanMilli/3MT-RoadSeg

  Multi-Modal Multi-Task (3MT) Road Segmentation, IEEE RA-L 2023

  Language:Python13102

• Esri/pytorch3d

  PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

  82

• ag2816/TorontoWalks

  Walk generator to discover new neighbourhoods and sites in Toronto

  Language:Jupyter Notebook6