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3ddfa

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

3ddfa_v2

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

3dmm_cnn

Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

aiut3d-motion-editor

A motion editor for designing arbitrary key frame based motions for Nao to be used in RoboCup 3D soccer simulation league.

algorithm

算法导论学习复习笔记

ballgame

blendshapegenerationcpp

chatrom

https://blog.csdn.net/lishang6257/article/details/79711361

cmr

Project repo for Learning Category-Specific Mesh Reconstruction from Image Collections (Python3/PyTorch)

eos

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

face3d

Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.

find-difference-between-images

gobang

javascript gobang AI

grafa

The code and model for paper 'Robust 3D Face Alignment with Global Residual Attention Module'

homomorphic-filtering

hrnet-semantic-segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

kalmanfilter

This is a Kalman filter used to calculate the angle, rate and bias from from the input of an accelerometer/magnetometer and a gyroscope.

libcmaes

libcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy

machine_learning

matlab-pcode-decompiler

minst

misaka-2dgame-unity

Scroll fight game of the comic Misaka the Railgun, 御坂美琴同人游戏

ml_from_wu

update Linear Regression

parametric-face-image-generator

Generate fully parametric face images from the Basel Face Model 2017

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

snake-ai

贪吃蛇AI,利用A*寻路以及dfs和bfs辅助寻路。

snake-ai-qt5

tf_mesh_renderer

A differentiable, 3D mesh renderer using TensorFlow.

tic-tac-toe

traffic-sign-detection

限速标志的基本特征（外边框为红色且为圆形），本文利用颜色空间的方法，先提取出红色区域，在通过图像的开闭运算，膨胀腐蚀操作进行预处理，最后在利用不同区域是目标的可能性进行逐一筛选。这里要指出目标的可能性这一说法，是指该区域类圆的概率以及该区域的面积的加权和。最后，针对一些红的目标可能重叠的情况，进行最后的加工。 紧接着提取标志中的数字，通过对给定的图像进行统计，可以发现如果是限速标志，其直方图通常是双峰，一个峰为目标区域，另一个则为背景。这样就可以分理处数字了。