python3 sample for aiortc with YOLO v3

sample for aiortc with darknet YOLO v3 for Python 3

• aiortc ... WebRTC implementation with Python (GitHub)
• YOLO v3 ... object detection network on darknet (GitHub)

Usage

with Docker

• use Docker file here
• docker build -t your-image-name -f Dockerfile .
• docker run -d -p 8001:8080 your-image-name
• open http://local:8001/ with Chrome

by hand (without Docker)

• clone and build aiortc

• clone and bulid darknet

• cd darnekt/, and download https://pjreddie.com/media/files/yolov3-tiny.weights

• make symbolic link of darknet/libdarknet.so to /usr/lib/libdarknet.so (or where you need)

• make symbolic link of darknet/cfg/, darknet/data to aiortc/examples/server/

• make symolic link of yolov3-tiny.weights to aiortc/examples/server/

• clone this sample

• copy server_yolo.py, index.html to aiortc/examples/server/

• cd aiortc/examples/server/

• python3 server_yolo.py

• open http://local:8080/ with Chrome

Note

This sample is example to convert between aiortc frame and darknet image. Object detection without GPU is still far from handling realtime video.

License

• This sample is under the MIT license