Autogenerated from www.imagegraph.cc, My sketch title

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": [    "  !pip install -q -U git+https:\/\/github.com\/leoimpett\/pyimagegraph\nimport imagegraph as ig\nimL00 = ig.loadIIIFManifest(\"https:\/\/iiif.bodleian.ox.ac.uk\/iiif\/manifest\/e32a277e-91e2-4a6d-8ba6-cc4bad230410.json\")\nmyModel = \"vgg16\" #@param [\"vgg16\", \"inceptionv3\", \"efficientnet\"]\nvL01 = ig.getNNEmbedding(imL00,modelType = myModel)\nmyMethod = \"TSNE\" #@param [\"TSNE\", \"UMAP\", \"PCA\"]\nfL02,fL03 = ig.reduceDims(vL01,method = myMethod) "  ],  "execution_count": 0,  "outputs": [    {  "output_type": "stream",  "text": [    " "  ],  "name": "stdout"    }  ]    }  ]}