hand_recognition
OpenCV hand recognition
Installation
sudo pip install -r requirements.txt
Running
Run detect_hand.py to process the primary webcam stream. Run web_server.py to run a REST server that can recieve images and respond with JSON data regarding detected hands. Both single request POSTs as well as websockets are supported. The server responds with a json object, with position/radius (in pixels) of the palm, as well as a list of the objects describing the positions and angles (in degrees) of the fingers. It also guesses the gesture.
See https://handrecognition.herokuapp.com/ for a running example.
Sample response:
{
"palm":{
"y":340,
"x":325,
"r":31.304951684997057
},
"skinColor":{
"r":128.51116352201257,
"b":88.66261792452829,
"g":92.63246855345912
},
"gesture":"Gun",
"fingers":[
{
"distance_to_next_finger":91.285267157411553,
"web":{
"y":302,
"x":320
},
"angle":27.62266626608903,
"tip":{
"y":260,
"x":328
},
"d":34.859375
},
{
"distance_to_next_finger":71.421285342676384,
"web":{
"y":319,
"x":288
},
"angle":64.65494617518769,
"tip":{
"y":308,
"x":242
},
"d":25.1484375
}
]
}Use
time curl localhost:8080 --data-binary @image.jpg -vv to test the web server. Visit http://localhost:8080 to stream your webcam from your browser to the server, displaying the result on a canvas overlay.
Supported hand gestures
Flat palm, Closed Fist, Pointing, Thumbs up, Peace, Gun, Claw, Open Palm