buaacyh Goto Github PK

3dmm

3D Morphable Model software (https://www.cs.cmu.edu/~efros/courses/AP06/Papers/Blanz-siggraph-99.pdf)

3dmmasstn

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

blind-watermark

Watermark added to the frequency domain by Fourier transform

cataclysm-dda

Cataclysm - Dark Days Ahead. A turn-based survival game set in a post-apocalyptic world.

collector

condensenet

CondenseNet: Light weighted CNN for mobile devices

convolutional-pose-machines-release

Code repository for Convolutional Pose Machines, CVPR'16

cpm

Convolutional Pose Machines in TensorFlow

cvpr2016

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

deepsketch2face

Demo and Database of "DeepSketch2Face" in SIGGRAPH 2017

extreme_3d_faces

Extreme 3D Face Reconstruction: Looking Past Occlusions

facereconstruction

Facial Landmark Detection and head pose compute use dlib, Real time Face Reconstruction use 3D Morphable Face Model fitting

faster_rcnn_pytorch

Faster RCNN with PyTorch

firmware

PX4 Pro Autopilot Software

gbdt

A simple GBDT in Python

hand25d

hmr

Project page for End-to-end Recovery of Human Shape and Pose

hourglass-facekeypoints-detection

face keypoints deteciton based on stackedhourglass

inih

Simple .INI file parser in C, good for embedded systems

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

kdtree

A Python implementation of a kd-tree

lightweight-os-dev-docs

recc项目在小脚丫fpga上的实现

matlab-bayesian-estimation

Matlab Toolbox for Bayesian Estimation

mobilenetv2-pytorch

Impementation of MobileNetV2 in pytorch

netscope

Neural network visualizer and analyzer

note-of-interview

《互联网面试笔记》收集和分析互联网常见面试题，并将这些面试知识整理成文方便大家查阅。主要是面向java程序员，但基础知识部分不同语言程序员(c,c++,python等）都可以参考。

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation

pose-hg-train

Training and experimentation code used for "Stacked Hourglass Networks for Human Pose Estimation"

prnet

The source code of 'Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network'.

pytorch-faster-rcnn

I would appreciate if someone can retrain the model. The "finetune from scratch" result should be better because the training details have been changed. (And mobilenet training not supported yet.)