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Project description
Author: Vladimir Shteyn
GitHub: [GitHub](https://github.com/mistervladimir)
LinkedIn: [LinkedIn](https://www.linkedin.com/in/vladimir-shteyn/)
Introduction
fijitools is a Python API for working with Fiji/ImageJ ROI data.
Features
ROI I/O: Reading ImageJ/FIJI region of interest (ROI) data saved in .zip format. ROI bytestream data from the entire .zip file is parsed all together as a single numpy array, and dispatched to classes particular to each ROI type. Currently all ROI may be read, but only ROI objects for rectangles and ellipses have been written. Python ROI instances may be converted back to ImageJ/FIJI bytestreams, saved as .zip files, and read by ImageJ/FIJI. This is a work in progress.
CSV Parsing: Uses regular expressions to filter ImageJ/FIJI data generated with the RoiManager->Multi-Measure tool and saved as CSV files.
Convenience Functions: various data structures and functions to make life easier. Specialized data structures for managing parsed ImageJ/FIJI data.
TODO
ROI I/O: Writing text ROI to ImageJ/FIJI bytestreams and saving them as .zip files. With this feature, rectangle or ellipse ROI originally generated by the Python API, can be visualized with text labels in ImageJ/FIJI. This is especially useful if we want to inspect ROI data while, say, troubleshooting a segmentation algorithm.
PyPi: finally upload this stuff
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| Filename, size | File type | Python version | Upload date | Hashes |
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| Filename, size fijitools-0.2-py3-none-any.whl (174.8 kB) | File type Wheel | Python version py3 | Upload date | Hashes View |
| Filename, size fijitools-0.2.tar.gz (157.6 kB) | File type Source | Python version None | Upload date | Hashes View |
