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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import fastbook\n",
"fastbook.setup_book()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"from fastbook import *\n",
"from fastai.vision.all import *\n",
"import os"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"pattern_get_class = re.compile(r'PetImages/(\\w+)/\\d+.jpg')\n",
"path = '../kagglecatsanddogs_5340/'\n",
"fnames = get_image_files(path)\n",
"\n",
"dls = ImageDataLoaders.from_path_re(\n",
" path, fnames, pattern_get_class, valid_pct=0.2, seed=42, item_tfms=Resize(224))\n",
"dls.show_batch()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"learn = vision_learner(dls, resnet34, metrics=error_rate)\n",
"learn.fine_tune(1)\n",
"learn.export('model.pkl')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"path = 'cat.jpg'\n",
"img = PILImage.create(path)\n",
"img.to_thumb(192)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"is_cat,_,probs = learn.predict(img)\n",
"print(f\"Is this a cat?: {is_cat}.\")\n",
"print(f\"Probability it's a cat: {probs[0].item():.6f}\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "tesseract",
"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": "3.9.15"
},
"orig_nbformat": 4,
"vscode": {
"interpreter": {
"hash": "c8334dffe72b6a881969c3515475442b0cf3f3c8c06d8151aebf952bb4134fbe"
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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