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