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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "f86c8e41",
"metadata": {},
"outputs": [],
"source": [
"from duckduckgo_search import ddg_images\n",
"from fastcore.all import *\n",
"def search_images(term, max_images=30):\n",
" print(f\"Searching for '{term}'\")\n",
" return L(ddg_images(term, max_results=max_images)).itemgot('image')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9ae55d0c",
"metadata": {},
"outputs": [],
"source": [
"from fastdownload import download_url\n",
"#from fastai.vision.all import *"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1efed2ca",
"metadata": {},
"outputs": [],
"source": [
"searches = 'donut','scone'\n",
"path = Path('donut_or_not')\n",
"from time import sleep\n",
"\n",
"for o in searches:\n",
" dest = (path/o)\n",
" dest.mkdir(exist_ok=True, parents=True)\n",
" download_images(dest, urls=search_images(f'{o} photo'))\n",
" sleep(10) # Pause between searches to avoid over-loading server\n",
" download_images(dest, urls=search_images(f'{o} sun photo'))\n",
" sleep(10)\n",
" download_images(dest, urls=search_images(f'{o} shade photo'))\n",
" sleep(10)\n",
" resize_images(path/o, max_size=400, dest=path/o)"
]
}
],
"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": "3.10.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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