Pinned Repositories
CSPN_monodepth
Unofficial Faster PyTorch implementation of Convolutional Spatial Propagation Network
Deeplab_pytorch
All version of deeplab implemented in Pytorch
Deformable_ConvNet_pytorch
Pytorch implementation of Deformable Convolutional Network
DORN_pytorch
PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation
FCRN_pytorch
Pytorch Implementation of Deeper Depth Prediction with Fully Convolutional Residual Networks
GM-1-1
GM(1,1)灰度系统预测模型
SideWindowFilter
The Pytorch Implementation of Side Window Filtering
StereoMatch
The python implementation of the traditional stereo matching methods including BM and SGBM
StructuredAttentionDepthEstimation_pytorch
PyTorch implementation of Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation
SupervisedDepthPrediction
Pytorch framework for supervised depth prediction
dontLoveBugs's Repositories
dontLoveBugs/DORN_pytorch
PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation
dontLoveBugs/CSPN_monodepth
Unofficial Faster PyTorch implementation of Convolutional Spatial Propagation Network
dontLoveBugs/FCRN_pytorch
Pytorch Implementation of Deeper Depth Prediction with Fully Convolutional Residual Networks
dontLoveBugs/SideWindowFilter
The Pytorch Implementation of Side Window Filtering
dontLoveBugs/SupervisedDepthPrediction
Pytorch framework for supervised depth prediction
dontLoveBugs/StereoMatch
The python implementation of the traditional stereo matching methods including BM and SGBM
dontLoveBugs/depth-refinement-and-normal-estimation
A graph-based framework to refine a noisy and possibly incomplete depth map and estimate the corresponding normal map.
dontLoveBugs/MyTorch
Fast, Easy Traning Modules of PyTorch.
dontLoveBugs/CV_interviews_Q-A
CV算法岗知识点及面试问答汇总，主要分为计算机视觉、机器学习、图像处理和 C++基础四大块，一起努力向offers发起冲击！
dontLoveBugs/GDTrainingFramework
General distributed training framework based on Pytorch
dontLoveBugs/HRNet-Semantic-Segmentation
High-resolution representation learning (HRNets) for Semantic Segmentation
dontLoveBugs/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
dontLoveBugs/3DVideos2Stereo
Code to extract stereo frame pairs from 3D videos, as used in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"
dontLoveBugs/box-convolutions
PyTorch code for the "Deep Neural Networks with Box Convolutions" paper
dontLoveBugs/cnnimageretrieval-pytorch
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
dontLoveBugs/d2-net
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
dontLoveBugs/DANet
Dual Attention Network for Scene Segmentation (CVPR2019)
dontLoveBugs/DenseMatchingBenchmark
dontLoveBugs/geomapnet
Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)
dontLoveBugs/hfnet
From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)
dontLoveBugs/InfiniTAM
A Framework for the Volumetric Integration of Depth Images
dontLoveBugs/ip_basic
Image Processing for Basic Depth Completion
dontLoveBugs/netvlad_tf_open
Tensorflow port of https://github.com/Relja/netvlad
dontLoveBugs/numpy-dl
Naive numpy implementaion of machine learning methods
dontLoveBugs/PlotNeuralNet
Latex code for making neural networks diagrams
dontLoveBugs/PointRend-PyTorch
A PyTorch implementation of PointRend: Image Segmentation as Rendering
dontLoveBugs/PSMNet
Pyramid Stereo Matching Network (CVPR2018)
dontLoveBugs/pythia
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
dontLoveBugs/visuallocalizationbenchmark
dontLoveBugs/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > iOS