gjy3035/NWPU-Crowd-Sample-Code

Includes the code for training and testing the CountGD++ model from the paper CountGD++: Generalized Prompting for Open-World Counting.

Includes the code for training and testing the CountGD model from the paper CountGD: Multi-Modal Open-World Counting.

Noah Research

19 ready-to-run computer vision projects with YOLO, ByteTrack & MediaPipe — counting, safety, ANPR, heatmaps and more

Model Zoo of BDD100K Dataset

Code and implementation guidelines for the paper ✨Counting Anything. Project Page: https://mengqi-lei.github.io/count-anything-projectpage/

Code for paper : An Effective Data Augmentation for Person Re-identification. By providing this code, you can simply verify the validity of the method proposed in the paper.

This project contains some deep learning code