互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

A framework of face cluster

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

(TPAMI 2024) A Survey on Open Vocabulary Learning

静默活体检测（Silent-Face-Anti-Spoofing）

Paper collection of about the face anti-spoofing

🔥Deep Learning for Face Anti-Spoofing

一个拍照做题程序。输入一张包含数学计算题的图片，输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.

Basic Kalman filter implementation in C++ using Eigen

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

基于AlphaPose的TensorRT加速

Paper ibrahim et al, cvpr 2016 - A Hierarchical Deep Temporal Model for Group Activity Recognition -

The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"

tensorrt int8 量化yolov5 onnx模型

A toolbox for skeleton-based action recognition.

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.

Unsupervised way for Pose guided Anime Video Generation using Generative Adversarial Networks.

An impelementation of the BMVC2019 paper "DwNet: Dense warp-based network for pose-guided human video generation"

Official code release for CVPR2019 Workshop paper "Unpaired Pose Guided Human Image Generation"

TCN

[CVPR 2022] Exploring Dual-task Correlation for Pose Guided Person Image Generation

Temporal Action Detection & Weakly Supervised Temporal Action Detection & Temporal Action Proposal Generation

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

caffe model convert to onnx model

A high performance, high expansion, easy to use framework for AI application. 为AI应用的开发者提供一套统一的高性能、易用的编程框架，快速基于AI全栈服务、开发跨端边云的AI行业应用，支持GPU，NPU加速。

MoViNets PyTorch implementation: Mobile Video Networks for Efficient Video Recognition;