An image segmentation algorithm for the MLExcahgne platform adapted from Dash Plotly example .
To get started, you will need:
First, build the segMSDnet image in terminal:
cd mlex_random_forest
make build_docker
Once built, you can run the following examples:
make train_example
make test_example
These examples utilize the information stored in the folder /data. The trained model and the segmented images will be stored in /data/model and /data/out, respectively.
Alternatively, you can run the container interactively as follows:
make run_docker
While running interactively, you can perform training and testin processes using random forest.
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