yrcrcy Goto Github PK

model-ensembler

Code and pretrained models accompanying the paper "Ensembling geophysical models using Bayesian Neural Networks"

motion-estimation-using-speeded-up-robust-features-surf-and-oriented-fast-rotated-brief-orb-

ms-svconv

Compute features for 3D point cloud registration using a multi scale sparse voxel architecture

multichat-system

Java/Socket实现多人聊天系统并能传输和接收文件

munit-tensorflow

Simple Tensorflow implementation of "Multimodal Unsupervised Image-to-Image Translation" (ECCV 2018)

mvstudio

An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.

nemar

[CVPR2020] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation

neural_exocartography

nodecm

GPU-enabled photogrammetry pipeline to generate point clouds, orthophotos and elevation models from aerial images using COLMAP.

opencv

Open Source Computer Vision Library

opencv_contrib

Repository for OpenCV's extra modules

pillow

The friendly PIL fork (Python Imaging Library)

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

prml

Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop

pydegensac

Advanced RANSAC (DEGENSAC) with bells and whistles for H and F estimation

pytorch-cyclegan

A clean and readable Pytorch implementation of CycleGAN

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-image-classification

use pytorch to do image classfiication tasks

pytorch-progressive_growing_of_gans

PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytrx

PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.

racf

randla-net

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

recursive-cascaded-networks

[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration

regnet

Nonrigid image registration using multi-scale 3D convolutional neural networks

remotesensingmatching-deepmatching

Two remote sensing image matching of different sizes based on deep convolution matching algorithm（Deep Matching）

rgb-footprint-extract

A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery

rord

Rotation Robust Descriptors

rs_img_synth