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2d-and-3d-face-alignment

This repository implements a demo of the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.

3dinn

Single Image 3D Interpreter Network

4dface

Real-time 3D face tracking and reconstruction from 2D video

abot

Abot makes it easy and fun to build your own digital assistant, and we include everything you need to get started.

acmcode

advancedeast

AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.

age-and-gender-classification

Age and Gender Classification using Convolutional Neural Network

agegenderdeeplearning

alphapose

Real-Time Multi-Person Pose Estimation System

alphatree-graphic-deep-neural-network

将深度神经网络中的一些模型 进行统一的图示，便于大家对模型的理解

aru-net

awesome-awesomeness

A curated list of awesome awesomeness

awesome-scene-text-recognition

A curated list of resources dedicated to scene text localization and recognition

bgslibrary

A background subtraction library

binocularvision

双目视觉

blogs

record of reading papers

bwn-xnor-caffe

Binary Weight Network and XNOR Network.

c4-real-time-pedestrian-detection

Real-Time Human Detection Using Contour Cues

cacu

This is a deep learning framework for cnn which using xnor method to accelerate calculating convolution layer on cpu.

cacue

CACU's Evolution version

caffe

Caffe fork that supports SPP_net or faster R-CNN

caffe-mobile

Optimized (for size and speed) Caffe lib for iOS and Android with demo APP.

caffe-mobilenet

A caffe implementation of mobilenet's depthwise convolution layer.

caffe-posenet

Implementation of PoseNet

caffe-speech-recognition

Speech Recognition with the Caffe deep learning framework, migrating to

caffe2

Caffe2 is a cross-platform framework made with expression, speed, and modularity in mind.

caffe_ocr_for_linux

cam

Class Activation Mapping

carnd-vehicle-detection

Vehicle Tracking and Detection Project Submitted for Udacity's CND using Traditional Computer Vision and Machine Learning Techniques.

carve

Go implementation of Seam Carving algorithm.