Comments (1)
Hi,
You need to run a local HTTPS server to serve the content. Otherwise there will be CORS errors and problems with camera access (i.e. you need to access to the content through https://127.0.0.1//index.html). See https://github.com/jeeliz/jeelizPupillometry#hosting
The lightweight Python https server included in https://github.com/jeeliz/jeelizFaceFilter, httpsServer.py (https://github.com/jeeliz/jeelizFaceFilter/blob/master/httpsServer.py) should do the job.
Put this script at the root of this repository, then start it as explained here: https://github.com/jeeliz/jeelizFaceFilter#the-development-server
To make loading faster, the webcam video stream and the neural network model are loaded asynchronously, that's why the webcam LED is active. But since the neural network model cannot be loaded because of the CORS problem the application does not start, and so the debug view is not displayed.
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Related Issues (10)
- Frame rate for Pupillometry HOT 1
- Licensing: opensource or not? HOT 2
- Camera selected but no video feed appears HOT 1
- Focus, optimization, slider settings and calibrating two eyes HOT 2
- webcam specs HOT 6
- speed-pupil HOT 3
- How to get the pupil and iris radius HOT 3
- high speed video frame rate? HOT 9
- no results HOT 3
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