This repo includes all my thesis project files, and the final product will be used by researchers from Fire Protection Department.
The web Application is developed with flask framework. I deployed the Flask APP with Docker on Azure to get it tested.
APP Website: http://104.248.9.205:4000/
Download some fire videos for testing: https://drive.google.com/drive/folders/12aAkuB4spQfFkrKQsKBUR0F7YM7u2yoC?usp=sharing
Recording Video: https://vimeo.com/419638456
Reference:
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Model Reference: https://engineering.matterport.com/splash-of-color-instance-segmentation-with-mask-r-cnn-and-tensorflow-7c761e238b46
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https://medium.com/@vijendra1125/custom-mask-rcnn-using-tensorflow-object-detection-api-101149ce0765
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Flask Template: https://github.com/realpython/flask-boilerplate
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Deploying a Flask app with Docker on Azure: https://medium.com/@alexjsanchez/creating-and-deploying-a-flask-app-with-docker-on-azure-in-5-easy-9f7aa7a12145
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https://blog.machinebox.io/deploy-machine-box-in-digital-ocean-385265fbeafd
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https://docs.docker.com/machine/examples/ocean/#step-5-use-machine-to-remove-the-droplet