rutuja1409/Multi-type_vehicles_flow_statistics

According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.

Multi-type_vehicles_flow_statistics

According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.
Detecting and tracking the vehicles in ["bicycle","bus","car","motorbike","truck"].

Reference

• yolov3-darknet https://github.com/pjreddie/darknet
• yolov3-pytorch https://github.com/eriklindernoren/PyTorch-YOLOv3
• sort https://github.com/abewley/sort

Dependencies

• ubuntu/windows
• cuda>=10.0
• python>=3.6
• pip3 install -r requirements.txt

Usage

1. Download the pre-trained yolov3 weight file here and put it into weights directory;
2. Run python3 app.py ;
3. Select video and double click the image to select area, and then start;
4. After detecting and tracking, the result video and file are saved under results directory, the line of results.txt with format [videoName,id,objectName] for each vehicle.

Demo