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alignedreid-re-production-pytorch

Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.

beyond-part-models

PCB of paper: Beyond Part Models: Person Retrieval with Refined Part Pooling, using Pytorch

convolutional-pose-machines-release

Code repository for Convolutional Pose Machines, CVPR'16

crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

crnn_chinese_characters_rec

chinese characters recognition

deep-person-reid

Pytorch implementation of deep person re-identification models.

dukemtmc-reid_evaluation

ICCV2017 The Person re-ID Evaluation Code for DukeMTMC-reID Dataset (Including Dataset Download)

fd-gan

Pytorch implementation of feature distilling GAN for person reID. (NIPS18)

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

nullspace_reid

Demo code for CVPR 2016 paper: Learning a Discriminative Null Space for Person Re-identification

open-reid

Open source person re-identification library in python

part_reid

Code for ICCV2017 paper: Deeply-Learned Part-Aligned Representations for Person Re-Identification

pcb_rpp_for_reid

person_reid_baseline_pytorch

Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.

pn_gan

Pose-Normalized Image Generation for Person Re-identification

pytorch_realtime_multi-person_pose_estimation

Pytorch version of Realtime Multi-Person Pose Estimation project

pytorch_realtime_multi-person_pose_estimation-1

This is a pytorch version of Realtime_Multi-Person_Pose_Estimation, origin code is here https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation

realtime_multi-person_pose_estimation

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

svdnet-for-pedestrian-retrieval

Code for https://arxiv.org/abs/1703.05693

vgg_face

This is a C++ solution for testing the VGG_face deep model. It simply compares the correlation between two deeply learned features corresponding with two testing facial images needed to be verified.

ytf

Experiments on YouTube Face (YTF) dataset