PoC AFZ
Proof of Concept to count people going from one area to another.
Getting Started
Create
conda env create -f environment.yml
source activate afz
Labeling
python main_labeler.py
Pipeline
The pipeline consists of three main steps.
Object Detection
Using https://pjreddie.com/darknet/yolo/
Object Tracking
Using https://github.com/nwojke/deep_sort
We used the implementation of Yolov3 fr https://github.com/Qidian213/deep_sort_yolov3
Counting
Own implementation using a comparison between the area inside and outside.
DataSet
The default training of Yolo is based on the Coco Dataset. We also tried the Crowd Human Dataset.