realtime-face-recognition-webcam-osx
Get instant face detection (gender, age, emotion etc.) of your face from your OSX iSight camera
Project maintained by u1i Hosted on GitHub Pages — Theme by mattgraham
Face Detection Photo Booth
A facial anaylysis camera that shows age, gender of a person, highlights eyes and nose on the face and makes a guess about the emotional expression of the person - in (almost) real time!
What it does
- captures images from your webcam, one each second
- uses a neural network on the cloud to analyze the face - age, gender, emotion, landmarks
- adds the information to the image and displays it
Some more technical details
- image capturing: there’s many ways to do that, you can also use ffmpeg to do the task, I’ve also experimented with Droidcam (Android phone). Anything that gets you a constant stream of JPGs will do.
- OSX is not Linux. Setting up Python and ImageMagick might be a bit trickier there.
- ImageMagick needs fonts, they don’t always work right away on OSX. See this link here how to fix it
- image rendering is done in a separate shell-script. Once I figure out how to get the ImageMagick bindings working on Python/OSX we can combine this into one. Probably also a good idea to explore doing this with containers
- index.html is a very basic page that uses JavaScript (not my strong side) to reload the images every second. Does it well enough but this could be done much nicer I guess.
- this is really meant as a demo / prototype to show the concept. In a real solution you’d want a real time video stream, where the information is rendered into it using JavaScript. Help me to make this better!
Requirememts
- MacBook with a Python environment. Libraries: requests, json
- ImageMagick (via brew)
- Azure Face API subscription
- imagesnap
How to use this demo
- Install imagesnap and ImageMagick - using brew
- Get an Azure subscription for the Cognitive Services Face API and add it to the file analyze_face.py
- open a terminal and run ./capture.sh in there
- it’s your choice which webserver you want to have, here we’re using a simple Python wrapper, you can run ./start_server.sh in a second terminal window (I run both commands in the same window using screen
- open http://localhost:8080 and try it out!