3DGNN for RGB-D segmentation This is the Pytorch implementation of3D Graph Neural Networks for RGBD Semantic Segmentation: Data Preparation Download NYU_Depth_V2 dataset fromhereand select scenes and save as./datasets/data/nyu_depth_v2_labeled.mat Transfer depth images to hha by yourself fromhereand save in./datasets/data/hha/. Emviroment ...
Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN - charlesCXK/PyTorch_Semantic_Segmentation
3DGNN for RGB-D segmentation This is the Pytorch implementation of 3D Graph Neural Networks for RGBD Semantic Segmentation: Data Preparation Download NYU_Depth_V2 dataset from here and select scenes and save as ./datasets/data/nyu_depth_v2_labeled.mat Transfer depth images to hha by yourself fr...