raster2ML 0.1.1

Convert georeferenced Geotiff or any spatial raster format to machine learning ready data.

raster2ML

Purpose

raster2ML is a utility designed to process a Raster file and its corresponding shapefile to produce a raster mask file. The mask assigns class names based on the specified field in the shapefile.

Output

The result is an 8-bit PNG file where each distinct class from the shapefile is represented by a different color.

Usage

1. raster2png:

Converts a Raster image into an 8-bit PNG.

Command:

test_raster2png.py [-h] src_raster output_folder

Example:

!python tutorial/test_raster2png.py tutorial/in_folder/myraster.tif tutorial/out_folder

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2. shp2labelme:

Generate a labelme JSON structure using raster and shapefile data.

Command:

test_shp2labelme.py [-h] raster_file shapefile_path label_field

Example:

!python tutorial/test_shp2labelme.py tutorial/out_folder/myraster_8bit.png tutorial/in_folder/myvector.shp idlin

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3. labelme2mask:

Defines a set of functions that transform a given labelme JSON file into a labeled image (mask).

Command:

test_labelme2mask.py [-h] source_json_file target_folder

Example:

!python tutorial/test_labelme2mask.py tutorial/out_folder/myraster_8bit.json tutorial/out_folder

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Dependencies

Ensure you have all the necessary dependencies installed. Refer to requirements.txt for a list of required packages.