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Computer vision routines suitable for nucleate pool boiling bubble analysis

Project description

boilercv

DOI

Computer vision routines suitable for nucleate pool boiling bubble analysis. See the documentation for more detail. Currently, xarray must be installed manually if installing as pip install boilercv. I intend to bundle a small example dataset to exhibit the usage of this package on arbitrary data, but this is not currently done.

Data process graph

Graph of the data process, automatically derived from the code itself.

flowchart TD
 node1["schema"]
 node2["binarized_preview"]
 node3["contours"]
 node4["data\rois.dvc"]
 node5["data\sources.dvc"]
 node6["fill"]
 node7["filled_preview"]
 node8["gray_preview"]
 node3-->node6
 node4-->node2
 node5-->node2
 node5-->node3
 node5-->node6
 node5-->node7
 node5-->node8
 node6-->node7
 node9["data\examples.dvc"]
 node10["data\samples.dvc"]

Highlighted contours

Overlay of the external contours detected in one frame of a high-speed video. Represents output from the "fill" step of the data process.

Bubbles highlighted with different colors

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boilercv-0.0.1.tar.gz (1.4 MB view hashes)

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boilercv-0.0.1-py3-none-any.whl (59.0 kB view hashes)

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