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awesome-algorithm

结构化算法刷题训练指南 (希望大家支持一下！)

awesome_3dreconstruction_list

A curated list of papers & resources linked to 3D reconstruction from images.

cvpr2016

Paper about face detection, landmark detection, recognition, reconstruction, text detection and so on.

deployment-flask

effectivetensorflow

TensorFlow tutorials and best practices.

eos

A lightweight 3D Morphable Face Model fitting library in modern C++11/14

facerenderer-pix2pix

facerenderer-pix2pix-hair

facerenderertools

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

flask-ai

A simple flask project

flownet

Modified Version of FlowNet, specifically for adversed environment optical flow

gipuma

Massively Parallel Multiview Stereopsis by Surface Normal Diffusion

learn_and_test

learningrigidity

Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation (ECCV 2018)

livescan3d

LiveScan3D is a system designed for real time 3D reconstruction using multiple Kinect v2 depth sensors simultaneously at real time speed.

mc-cnn

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

meanshift_cpp

Mean shift clustering Implementation in C++

mitsuba-shapenet

Mitsuba for ShapeNet

monodepth

Unsupervised single image depth prediction with CNNs

ndeblur

A Neural Approach to Blind Motion Deblurring

opencv.meanshift

Mean Shift Segmentation using OPENCV

opendtam-3.1

An open source implementation of DTAM

prnet

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)

pwc-net

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

pyopengl-sample

python-fp-growth

An implementation of the FP-growth algorithm in pure Python.

rt-disparity-maps

Real-time stereo cam setup for OpenCV/C++

sean

semantic-segmentation-suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!