GNU/Linux
•
st-256color
•
bash
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This is a demo of sds-mnise, which selects a random image from the MNIST test set and identifies its label by finding the label of the most similar image in the training set using SDS.
Steps are:
- clone the repo.
- cd into repo directory
- make a virtual environment called “virtualenv”
- activate the virtual environment
- install sds and numpy into the virtual environment
- “ls” the directory and run the script for downloading the datasets
- run “image_similarity” with no arguments, and see usage
- run the “image_similarity” example, the test image is shown and the predicted label.