Collections of loose scripts and notebooks for IFCB debugging and processing.
| Notebook | Description |
|---|---|
| SCW-1-auto_class_display.ipynb | Access auto_classifier data from the SC Wharf IFCB |
| SCW-2-recent-plot.ipynb | Access the most recent data from the SC wharf IFCB using the API |
| SCW-3-generate-TS.ipynb | Generate a time series from the past 30 days of data from the SC wharf |
| ifcb-raw-peakROI-plots.ipynb | Generate peak-roi-y plots from raw IFCB data |
| ifcb-raw-view-images.ipynb | View raw images from the raw IFCB data |
| ifcb-raw-plot-max-image-size.ipynb | Plot maximum image size from raw IFCB data |
Jupyter notebooks are stored under the /notebooks directory. They can be run directly on the remote machines with a portforwarding to interact in browser.
To run on particle (this requires installing a local version of anaconda):
jupyter notebook --ip=0.0.0.0 --port=8080 --no-browser
Then on your machine, you can run:
ssh -L 8080:localhost:8080 [email protected]
Finally open a browser and enter the url localhost:8080/.