LYZIP's starred repositories
camera_lidar_calibration_v2
ROS VERSION: A tool used for calibrate 2D laser range finder (LRF) and camera.version1：https://github.com/TurtleZhong/camera_lidar_calibration
CamLaserCalibraTool
Extrinsic Calibration of a Camera and 2d Laser
attention-target-detection
[CVPR2020] "Detecting Attended Visual Targets in Video"
accurate-head-pose
Pytorch code for Hybrid Coarse-fine Classification for Head Pose Estimation
HyperFace-with-SqueezeNet
Two multitasking CNNs for simultaneous face detection, landmarks estimation and visibility, pose estimation and gender recognition. hyperface.py concatenates feature maps from initial, mid and final layers of the network and then branches out to different heads. multiout.py branches from the final layer of the network to different heads. DataGen2.py is the Data Generator used for reading multiple labels from json files. It is a modified version of Keras's default Data Generator. The idea is based on the following paper - [1] R. Ranjan, V. M. Patel, and R. Chellappa. Hyperface: A deep multitask learning framework for face detection, landmark localization, pose estimation, and gender recognition. CoRR, abs/1603.01249, 2016. The implementation is slightly different. The original HyperFace architecture is built on top of AlexNet while the implementation here uses another architecture called SqueezeNet.
head-pose-estimation
Realtime human head pose estimation with ONNXRuntime and OpenCV.
HRNet-Facial-Landmark-Detection
This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
face-landmark-localization
cnn network predict face landmarks (68 points) and head pose (3d pose, yaw,roll,pitch).
deep-head-pose
:fire::fire: Deep Learning Head Pose Estimation using PyTorch.
Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
DeepAlignmentNetwork
A deep neural network for face alignment
face-alignment
:fire: 2D and 3D Face alignment library build using pytorch
PFLD-pytorch
PFLD pytorch Implementation
darknet_face_with_landmark
加入关键点的darknet训练框架，轻量级的人脸检测，支持ncnn推理
Look_At_Boundary_PyTorch
A PyTorch re-implement of CVPR 2018 LAB(Look At Bounday) --Champagne Jin
landmark-detection
Four landmark detection algorithms, implemented in PyTorch.
SCT4DukeMTMC
Single camera tracker for DukeMTMC dataset
pytorch-yolo-v3
A PyTorch implementation of the YOLO v3 object detection algorithm
Video-Person-ReID
Video-based Person ReID Method Implementations on MARS
triplet-reid
Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.
reid-strong-baseline
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
open-reid-tracking
open-reid with PCB, IDE, triplet, ZJU; MOT/MTMCT feature extraction support included
Video-Person-Re-ID-Fantastic-Techniques-and-Where-to-Find-Them
Official Pytorch Implementation of our paper: Video Person Re-ID : Fantastic Techniques and Where to Find Them