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Thermonitor UI

go into the theromitor-ui module and run the command

  • npm install
  • npm start

Thermonitor Backend

DATASETS USED:

  • Trans10K
  • RGBT

Environments required for the backend of the thermonitor

  • python 3
  • torch = 1.1.0 (>1.1.0 with cause performance drop, we can't find the reason)
  • torchvision
  • pyyaml
  • Pillow
  • numpy
  • flask
  • flask-cors

INSTALL

pretrained backbone models will be download automatically in pytorch default directory(~/.cache/torch/checkpoints/).

python setup.py develop

#This link contains the pre-trained model for the translab model which detects the transperancy in the image Google Drive Add the checkpoint into the demo directory present inside the backed-module

#This link contains the pre-trained model for the GAN model which generates the IR image from RGB IMAGE Google Drive Add the checkpoint into the checkpoint directory present in the WPS directory present in the backend module of this project.

Turn ON the FLASK server present in the backend-module

python3 Server.py


You can route to the upload page of our web app, upload and view the results of our model.

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