LYZIP

LYZIP's Stars

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  176k5.3k56951k

• azl397985856/leetcode

  LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

  Language:JavaScript54.6k1.3k2559.5k

• Vay-keen/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！

  7.3k21091.9k

• 1adrianb/face-alignment

  :fire: 2D and 3D Face alignment library build using pytorch

  Language:Python7k1723111.3k

• nwojke/deep_sort

  Simple Online Realtime Tracking with a Deep Association Metric

  Language:Python5.3k953071.5k

• JDAI-CV/fast-reid

  SOTA Re-identification Methods and Toolbox

  Language:Python3.4k58633837

• ayooshkathuria/pytorch-yolo-v3

  A PyTorch implementation of the YOLO v3 object detection algorithm

  Language:Python3.3k771391.1k

• michuanhaohao/reid-strong-baseline

  Bag of Tricks and A Strong Baseline for Deep Person Re-identification

  Language:Python2.3k52218575

• natanielruiz/deep-head-pose

  :fire::fire: Deep Learning Head Pose Estimation using PyTorch.

  Language:Python1.6k30128367

• yinguobing/head-pose-estimation

  Realtime human head pose estimation with ONNXRuntime and OpenCV.

  Language:Python1.2k2149285

• HRNet/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

  Language:Python1k3191264

• D-X-Y/landmark-detection

  Four landmark detection algorithms, implemented in PyTorch.

  Language:Python9223389180

• polarisZhao/PFLD-pytorch

  PFLD pytorch Implementation

  Language:Python8041175198

• VisualComputingInstitute/triplet-reid

  Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.

  Language:Python7645686215

• MegviiRobot/CamLaserCalibraTool

  Extrinsic Calibration of a Camera and 2d Laser

  Language:C++6551832197

• shamangary/FSA-Net

  [CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image

  Language:Python6092467155

• MarekKowalski/DeepAlignmentNetwork

  A deep neural network for face alignment

  Language:Python5093860136

• qiexing/face-landmark-localization

  cnn network predict face landmarks (68 points) and head pose (3d pose, yaw,roll,pitch).

  Language:Python4102243184

• jiyanggao/Video-Person-ReID

  Video-based Person ReID Method Implementations on MARS

  Language:Python381827110

• zhunzhong07/ECN

  Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification CVPR 2019

  Language:Python305111960

• DayBreak-u/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

  Language:C210153371

• ejcgt/attention-target-detection

  [CVPR2020] "Detecting Attended Visual Targets in Video"

  Language:Python169171348

• TurtleZhong/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

  Language:Makefile1166738

• hou-yz/open-reid-tracking

  open-reid with PCB, IDE, triplet, ZJU; MOT/MTMCT feature extraction support included

  Language:Python1116621

• haofanwang/accurate-head-pose

  Pytorch code for Hybrid Coarse-fine Classification for Head Pose Estimation

  Language:Python9741122

• ppriyank/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

  Language:Python58569

• sourabhvora/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.

  Language:Python572416

• yoon28/SCT4DukeMTMC

  Single camera tracker for DukeMTMC dataset

  Language:Matlab37428

• yikouniao/MTMCT

  Multi Target Multi Camera Tracking

  Language:Matlab304312

• FunkyKoki/Look_At_Boundary_PyTorch

  A PyTorch re-implement of CVPR 2018 LAB(Look At Bounday) --Champagne Jin

  Language:Python90131