Autogenerated from www.imagegraph.cc, dario-test

graphDef.json

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ImageGraph.ipynb

{  "nbformat": 4,  "nbformat_minor": 0,  "metadata": {    "colab": {  "name": "ImageGraph.ipynb",  "version": "0.3.2",  "provenance": [],  "collapsed_sections": []    },    "kernelspec": {  "name": "python3",  "display_name": "Python 3"    }  },  "cells": [    {  "cell_type": "code",  "metadata": {    "id": "gsUbIGfNqSjV",    "colab_type": "code",    "colab": {  "base_uri": "https://localhost:8080/",  "height": 34    },    "outputId": "a306f9c8-c721-4280-fba4-f175cffa7090"  },  "source": [    "  # Remember to install the imagegraph Python library thus:\n!pip install git+https:\/\/github.com\/leoimpett\/pyimagegraph\nimport imagegraph as ig\nimL00 = ig.loadIIIFManifest(\"https:\/\/purl.stanford.edu\/jr903ng8662\/iiif\/manifest\") \n_ = ig.comment(\"A manuscript\") \nimL01 = ig.loadIIIFManifest(\"https:\/\/media.nga.gov\/public\/manifests\/nga_highlights.json\") \n_ = ig.comment(\"some paintings\") \nvL02 = ig.getNNEmbedding(imL00) \nvL03 = ig.getNNEmbedding(imL01) \nC04 = ig.trainClassifier(vL02,vL03) \nimL07 = ig.loadIIIFManifest(\"https:\/\/iiif.harvardartmuseums.org\/manifests\/object\/299843\") \n_ = ig.comment(\"a painting by V G\") \nvL08 = ig.getNNEmbedding(imL07) \nimL05,imL06 = ig.applyClassifier(imL07,vL08,C04) \n_ = ig.showTwoImageSets(imL05,imL06)  "  ],  "execution_count": 0,  "outputs": [    {  "output_type": "stream",  "text": [    " "  ],  "name": "stdout"    }  ]    }  ]}