Input View | Results | Temp. Distribution |
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Labeling Input | Labeling Results |
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- Go to pyro.turtlebasket.ml.
- Select an input image.
- Enter your DSLR camera settings.
- Click "Generate Heatmap".
- Go to pyro.turtlebasket.ml.
- Navigate to "Object Area".
- Select an input image.
- Click "Generate Projected Sizes".
Create a new config file:
cp config.example.yaml config.yaml
...then edit the values to match your DSLR camera settings. Standard config syntax is:
---
# camera settings
iso: 64
i-darkcurrent: 7.7
exposure-time: 0.5
f-stop: 2.4
# pyrometry settings
min-temp: 600
max-temp: 1200
scaling-factor: 0.55
# output settings
smoothing-radius: 2
Install dependencies:
pipenv install
...then load images into images-input
. Run:
pipenv run python3 batch-process.py
...and find outputs in images-output
.
To serve in production:
gunicorn flask_frontend:app
To autoreload on source file changes:
gunicorn flask_frontend:app --reload