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hitfruit: skeletonisation of plant inflorescences' images for fruit estimation

Moises Exposito-Alonso (moisesexpositoalonso@gmail.com)

Usage

The code below will download the repository and run the example dataset. The output images will be under the folder /sk and be labeled as "proc" for the segmented image, "sk" for the skeletonised image, and "end" or "branches" for the branching or end points overlayed onto the skeletonised image. A tab separated file, .tsv, is produced to store the number of non-black pixels of the processed images.

git clone https://github.com/MoisesExpositoAlonso/hitfruit
cd hitfruit 

python exampleskeleton.py

NOTE

This module depends on functions from my other hippo and mpy repositories. So two lines in the scripts runhitfruit.py and hitfruit.py have to be modified indicating the path to the hippo and moi modules in your computer.

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hitfruit: a module for HIgh-Throughput Fruit estimation based on image skeletonisation

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