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Currently working on an OpenCV for real time detection and deploying the model on Flask, on local-host.

Main Goal : To integrate the model on a website so that whenever the site is being visited, visitor's live feed from his/her cam can be used and processed through OpenCV and would give output.

Problem : Have completed the part where we are able to run the flask app on local-host ( the feed being displayed on HTML page), but now :

1) How to integrate the model to the main website.[ like currently being local-host, webcam is directly accessible, but what to do in case of website deployment. ]

2) How to put the associated dependencies on the server. [ like required libraries, packages, which were imported for usage in main file. ]

Pointing out the required resources along with tips/directions to start from will be really helpful.

Links that being referred before asking question here:

  1. link0

  2. link1

  3. link2

Thank you

dimay
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Transwert
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  • You are gonna need to constrain your definition of “real-time processing” here. Depending on the size of the frames and the computational load of your operations, expect heavy and slow data traffic over the web architecture. – stateMachine Aug 01 '20 at 20:50
  • @eldesgraciado and how to inspect and plan accordingly, as currently i don't have much background with web-development along with proper backend – Transwert Aug 03 '20 at 08:46

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