{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "fa2f9a37-48b2-4eeb-8df1-a2f8e9112765", "metadata": {}, "outputs": [], "source": [ "from datasets import load_dataset\n", "\n", "dataset = load_dataset(\"madebyollin/megalith-10m\", split=\"megalith\")" ] }, { "cell_type": "code", "execution_count": 2, "id": "57e836cc-2f4b-4e1e-9007-f426b2ef77ba", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\n", "\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\n", "\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\n", "\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\n", "\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\n", "\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\n", "\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\n", "\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\n", "\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\n", "\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\t\n", "\t\n", "
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" ], "text/plain": [ "" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import random\n", "from IPython.display import HTML\n", "\n", "def sample_to_html(index, sample, hw=100):\n", " sample_css = f\"width:{hw}px;height:{hw}px;background:url(\\\"{sample['url']}\\\");background-size:contain;display:block;position:relative;background-position:center;background-repeat:no-repeat;\"\n", " caption_css = \"width:100%;text-align:center;position:absolute;bottom:0px;color:white;background:rgba(0,0,0,0.8);padding:0.25em 0.5em;box-sizing:border-box;font-size:8px;\"\n", " return f\"
Image {index}
\"\n", " \n", "def display_example_grid(dataset, grid_size=10):\n", " rng = random.Random(0)\n", " sample_indices = [rng.randrange(0, len(dataset)) for _ in range(grid_size**2)]\n", " html_cells = [\"\\t\" + sample_to_html(i, dataset[i]) + \"\" for i in sample_indices]\n", " html_rows = [\"\\t\\n\\t\" + \"\\n\\t\".join(html_cells[i:i+grid_size]) + \"\\n\\t\" for i in range(0, grid_size**2, grid_size)]\n", " html_table = \"\\n\" + \"\\n\".join(html_rows) + \"\\n
\"\n", " return HTML(html_table)\n", "\n", "display_example_grid(dataset)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.12" } }, "nbformat": 4, "nbformat_minor": 5 }