Fire Lab Work

Interface Screenshots

Input View	Results	Temp. Distribution

Labeling Input	Labeling Results

Using the web version

Ratio Pyrometry

1. Go to pyro.turtlebasket.ml.
2. Select an input image.
3. Enter your DSLR camera settings.
4. Click "Generate Heatmap".

Projected Object Area

1. Go to pyro.turtlebasket.ml.
2. Navigate to "Object Area".
3. Select an input image.
4. Click "Generate Projected Sizes".

Using the local (batch) version

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.

Developing the web frontend

To serve in production:

gunicorn flask_frontend:app

To autoreload on source file changes:

gunicorn flask_frontend:app --reload