reid

A cross-platform video structuring (video analysis) framework based on CV models & mLLM.

Awesome Person Re-identification

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20

Official implementation for "CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels" (AAAI 2023)

EANet: Enhancing Alignment for Cross-Domain Person Re-identification

CVPR2018: Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatio-temporal Patterns

TNNLS'22 🗽 Parameter-Efficient Person Re-identification in the 3D Space 🗽

Simple model to Track and Re-identify individuals in different cameras/videos.(Yolov3 & Yolov4)

[WACV23] A strong baseline for body part-based person re-identification

Implementing RepNet(a two-stream multitask learning network) to do vehicle Re-identification, vehicle search(or vehicle match) with PyTorch 可用于车辆细粒度识别，车辆再识别，车辆匹配，车辆检索，RepNet/MDNet的一种PyTorch实现

C++ implementation of BoT-SORT MOT algorithm with Re-ID and Camera Motion Compensation

Simple pytorch unofficial implement of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification

TCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification

[ECCV 2020] QAConv: Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting, and [CVPR 2022] GS: Graph Sampling Based Deep Metric Learning

VehicleX: Simulating Content Consistent Vehicle Datasets with Attribute Descent (ECCV 2020, TPAMI 2023)

Deep learning based object tracking with line crossing and area intrusion detection

Awesome Vehicle Re-identification

[CVPR 2025] Official repository for "From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization"

A Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)