trysem/YOLOv8_head_detector

ONNX version of https://github.com/Abcfsa/YOLOv8_head_detector

YOLOv8_head_detector model trained for head detection,graduation project 2023-24

Info These model are trained with yolov8 on the dataset SCUT-HEAD part A and part B. medium.pt is bigger and more accurate while nano.pt is smaller and faster.

Usage If you already have ultralytics/yolov8 installed,then just choose one of these two models to do your prediction jobs. Else first enter these in the command line

pip install ultralytics pip install opencv-python pip install pandas Basic usage:

python example.py --model path/to/model_weights.pt --source path/to/img_folder --output path/to/save.csv --mode track/detect Output format Depends on mode.If mode is detect,then the columns would be ["name","xmin","ymin","xmax","ymax"]. If mode is track,then there will be an additional "id" column between "name" and "xmin". Output has no index column "xmin",...,"ymax" are all normalized to 0-1.