High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
-
Updated
Jul 25, 2024 - Python
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
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 🗽
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
Simple pytorch unofficial implement of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
Simple model to Track and Re-identify individuals in different cameras/videos.(Yolov3 & Yolov4)
[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
[WACV23] A strong baseline for body part-based person re-identification
A Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)
VehicleX: Simulating Content Consistent Vehicle Datasets with Attribute Descent (ECCV 2020, TPAMI 2023)
This is Top 3 Code for the Person ReID Compitition of NAIC
open-reid with PCB, IDE, triplet, ZJU; MOT/MTMCT feature extraction support included
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification
Add a description, image, and links to the reid topic page so that developers can more easily learn about it.
To associate your repository with the reid topic, visit your repo's landing page and select "manage topics."