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Two Features: Use a tensorflow.js mobileNet model (coco-ssd) for a live stream version when not authed. When authed - allow to predictions on livestream & click to save picture + predictions by a user

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CharlieBickerton/object-detection-app

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object-detection-app

Functionality

Two Features: Use a tensorflow.js mobileNet (coco-ssd) model for a live stream version when not authed. When authed - allow to predictions on livestream & click to save picture + predictions by a user.

Developer Requirements

To get this app running you will need some familiarity with React, Flask & docker (for the mongo db).

Notes

I am using the python package dotenv https://github.com/theskumar/python-dotenv to supply secrets to the flask server using a .env file.

Please note that this is just a personal project and it is not meant to be a robust production ready web application. I will not be maintaining support for this repo. However, please feel free to get in contact if you have any questions.

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Non Authed homepageNon Authed homepage

Non Authed homepageNon Authed homepage

Non Authed homepage

Thank you.

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Two Features: Use a tensorflow.js mobileNet model (coco-ssd) for a live stream version when not authed. When authed - allow to predictions on livestream & click to save picture + predictions by a user

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