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modnet

A Trimap-Free Solution for Portrait Matting in Real Time under Changing Scenes

monkey-net

Animating Arbitrary Objects via Deep Motion Transfer

multi-person-tracker

Simple Multi Person Tracker implementation in PyTorch

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

openpose

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

openpose-docker

A docker build file for CMU openpose with Python API support

photo-wake-up

对”Photo Wake-Up: 3D Character Animation from a Single Photo“论文的简单实现

psenet

psi-release

official implementation of CVPR'20 oral paper: Generating 3D People in Scenes without People.: https://ps.is.tuebingen.mpg.de/publications/smpl-x-conditional-vae-prox-scene-constraints

psutil

Cross-platform lib for process and system monitoring in Python

pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

pybind11

Seamless operability between C++11 and Python

pydataroad

open source for wechat-official-account (ID:PyDataRoad)

python-client

Python language bindings for Appium

python-parallel-programming-cookbook-cn

📖《Python Parallel Programming Cookbook》中文版

python-small-examples

告别枯燥，致力于打造 Python 富有体系且实用的小例子、小案例。

pytorch-pose

A PyTorch toolkit for 2D Human Pose Estimation.

pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

realtime_multi-person_pose_estimation

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

references

reid-survey

Deep Learning for Person Re-identification: A Survey and Outlook

ringnet

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

rotationcontinuity

Coder for "On the Continuity of Rotation Representations"

scene_text

scut-fbp5500-database-release

A diverse benchmark database for multi-paradigm facial beauty prediction

semgcn

The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).

shap

A game theoretic approach to explain the output of any machine learning model.

smplify-x

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

smplx

SMPL-X

source-code-notebook

关于一些经典论文源码的逐行中文笔记