corebreakout | Segmentation and depth-alignment of geological core sample

by rgmyr Python Version: v0.3 License: Non-SPDX

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kandi X-RAY | corebreakout Summary

corebreakout is a Python library. corebreakout has no bugs, it has no vulnerabilities, it has build file available and it has low support. However corebreakout has a Non-SPDX License. You can download it from GitHub.

corebreakout is a Python package built around matterport/Mask_RCNN for the segmentation and depth-alignment of geological core sample images. It provides utilities and an API to enable the workflow depicted in the figure below, as well as a CoreColumn data structure to manage and manipulate the resulting depth-registered image data:. We are currently using this package to enable research on Lithology Prediction of Slabbed Core Photos Using Machine Learning Models, and are working on getting a DOI for the project through the Journal of Open Source Software.

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Support

corebreakout has a low active ecosystem.

It has 17 star(s) with 10 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 9 have been closed. On average issues are closed in 56 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of corebreakout is v0.3

Quality

corebreakout has no bugs reported.

Security

corebreakout has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

corebreakout has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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corebreakout releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed corebreakout and discovered the below as its top functions. This is intended to give you an instant insight into corebreakout implemented functionality, and help decide if they suit your requirements.

Segment image
Slice the depth of a core column
Calculate the expected top left top left corner of the given depth range
Plot the depths
Make ticks ticks
Save the main column
Splits an numpy npy npy npy npy npy
Segments multiple images
Segment the image
Convert picks to row labels
Find the common common path between a list of paths
Collect annotated images
Delete a field from a JSON file
Processes all images in subdir_path
Extracts the depth range from an image
Truncate a variable to a given number
Join XML files
Parses the XML section of the xml file
Set layout parameters
Check the layout parameters
Loads an annotation mask
Converts an annotation to masks
Given a label return the class id
Find all subdirectories in path
Determine if d is a directory

Get all kandi verified functions for this library.

corebreakout Key Features

No Key Features are available at this moment for corebreakout.

corebreakout Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install corebreakout

To make use of the provided dataset and model, or to train new a model starting from the pretrained COCO weights, you will need to download the assets.zip folder from the v0.2 Release. Unzip and place this folder in the root directory of the repository (its contents will be ignored by git -- see the .gitignore). If you would like to place it elsewhere, you should modify the paths in corebreakout/defaults.py to point to your preferred location.
We recommend installing corebreakout and its dependencies in an isolated environment, and further recommend the use of conda. See Conda: Managing environments.