WebGazer | WebGazer.js : Scalable Webcam EyeTracking Using User | Machine Learning library
kandi X-RAY | WebGazer Summary
kandi X-RAY | WebGazer Summary
WebGazer.js is an eye tracking library that uses common webcams to infer the eye-gaze locations of web visitors on a page in real time. The eye tracking model it contains self-calibrates by watching web visitors interact with the web page and trains a mapping between the features of the eye and positions on the screen. WebGazer.js is written entirely in JavaScript and with only a few lines of code can be integrated in any website that wishes to better understand their visitors and transform their user experience. WebGazer.js runs entirely in the client browser, so no video data needs to be sent to a server. WebGazer.js can run only if the user consents in giving access to their webcam.
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QUESTION
So I'm trying to play around with WebGazer but I'm already stuck at loading the js file. The webgazer.js file consists of 140k line of codes, but when I load my page the js file only loads until line 94k.
I don't want to use NPM cause it's causing me a lot of hassle to install & run the NPM. How do I fix this problem? Thanks in advance
...ANSWER
Answered 2021-Jun-04 at 08:22It seems like when I save the webgazer.js in my project it is not uploaded fully to the server. I had to upload multiple times (3x) in order to fully upload the webgazer.js
I was using PhpStorm and ec2 instance (AWS) for my development server
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