112 lines
4.2 KiB
Markdown
112 lines
4.2 KiB
Markdown
# Demo 1: Real-Time Web Demo
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See [our YouTube video](https://www.youtube.com/watch?v=LZJOTRkjZA4)
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of using this in a real-time web application
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for face recognition.
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The source is available in
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[demos/web](https://github.com/cmusatyalab/openface/blob/master/demos/web).
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The browser portions have been tested on Google Chrome 46 in OSX.
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<a href='https://www.youtube.com/watch?v=LZJOTRkjZA4'><img src='https://raw.githubusercontent.com/cmusatyalab/openface/master/images/youtube-web.gif'></img></a>
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This demo does the full face recognition pipeline on every frame.
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In practice, object tracking
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[like dlib's](http://blog.dlib.net/2015/02/dlib-1813-released.html)
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should be used once the face recognizer has predicted a face.
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In the edge case when a single person is trained,
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the classifier has no knowledge of other people and
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labels anybody with the name of the trained person.
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The web demo does not predict unknown users and the saved
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faces are only available for the browser session.
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If you're interested in predicting unknown people,
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one idea is to use a probabilistic classifier to predict
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confidence scores and then call the prediction unknown
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if the confidence is too low.
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See the [classification demo](http://cmusatyalab.github.io/openface/demo-3-classifier/)
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for an example of using a probabilistic classifier.
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---
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## Setup and Running
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To run on your system, first follow the
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[Setup Guide](setup.md) and make sure you can
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run a simpler demo, like the [comparison demo](demo-2-comparison.md).
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If you experience issues with the web demo,
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please post to
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[our mailing list](https://groups.google.com/forum/#!forum/cmu-openface)
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and include the the WebSocket log contents from
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`/tmp/openface.websocket.log` if available.
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### Warning when running remotely
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Trying to connect to a remote or Docker version of OpenFace in
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the latest version of Chrome will result in the following error:
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> getUserMedia() no longer works on insecure origins. To use this
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> feature, you should consider switching your application to a secure
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> origin, such as HTTPS. See https://goo.gl/rStTGz for more details.
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They suggest three workarounds:
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1. localhost is treated as a secure origin over HTTP, so if you're
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able to run your server from localhost, you should be able to test
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the feature on that server.
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2. You can run chrome with the
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--unsafely-treat-insecure-origin-as-secure="example.com" flag
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(replacing "example.com" with the origin you actually want to test),
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which will treat that origin as secure for this session. Note that
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you also need to include the --user-data-dir=/test/only/profile/dir
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to create a fresh testing profile for the flag to work.
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3. Use secure protocols
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---
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\#2 is requires starting Chrome with a non-standard flag.
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If you don't want to start Chrome with a non-standard flag,
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the following commands use [ncat](https://nmap.org/ncat/) to
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route all OpenFace traffic through localhost to a remote server or
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Docker container so that the demo can be accessed in Chrome
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at `http://localhost:8000`.
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Replace `SERVER_IP` with the IP address of your server.
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```
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export SERVER_IP=192.168.99.100
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ncat --sh-exec "ncat $SERVER_IP 8000" -l 8000 --keep-open &
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ncat --sh-exec "ncat $SERVER_IP 9000" -l 9000 --keep-open &
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```
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We are also interested in help running this demo with secure protocols
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in [Issue #75](https://github.com/cmusatyalab/openface/issues/75)
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so the demo works on a remote server or Docker without these workarounds.
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### With Docker
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Start the HTTP and WebSocket servers on ports 8000 and 9000 in the
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Docker container with:
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```
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docker run -t -p 8000:8000 -p 9000:9000 bamos/openface
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```
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Then find the IP address of the container and access the demo
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in your browser at `http://docker-ip:8000`.
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### Manual Setup
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Install the requirements for the web demo with
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`./install-deps.sh` and `sudo pip install -r requirements.txt`
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from the `demos/web` directory.
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Start the HTTP and WebSocket servers on ports 8000 and 9000, respectively,
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with `./demos/web/start-servers.sh`.
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If you wish to use other ports,
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pass them as `./demos/web/start-servers.sh HTTP_PORT WEBSOCKET_PORT`.
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You should now also be able to access the demo from your browser
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at `http://localhost:8000` if running locally or
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`http://your-server:8000` if running on a server.
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