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deep-learning/practical-deep-learning-for-coders/lesson-1/bird_or_forest.ipynb

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Add Practical Deep Learning for Coders lesson 1 notebook (bird or forest classification)
2024-05-05 16:42:31 +00:00
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Bird or Forest?"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\micro\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
" from .autonotebook import tqdm as notebook_tqdm\n"
]
}
],
"source": [
"from fastai.data.all import *\n",
"from fastai.vision.all import *\n",
"from fastcore.all import *"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Image Search"
]
},
{
"cell_type": "code",
"execution_count": 130,
"metadata": {},
"outputs": [],
"source": [
"from duckduckgo_search import DDGS\n",
"\n",
"def search_images(search_term, max_images = 10):\n",
" return L(DDGS().images(search_term, max_results = max_images)).itemgot('image')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Image Search Response"
]
},
{
"cell_type": "code",
"execution_count": 131,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
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" 'url': 'https://www.pinterest.co.uk/pin/328270260340714586/',\n",
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" 'source': 'Bing'},\n",
" {'title': '25 Birds With Yellow Beaks (With Photos) - Animal Hype',\n",
" 'image': 'https://upload.wikimedia.org/wikipedia/commons/b/b8/Turdus-migratorius-002.jpg',\n",
" 'thumbnail': 'https://tse3.mm.bing.net/th?id=OIP.poJsGugU6euCRwpYThzU2wHaFn&pid=Api',\n",
" 'url': 'https://animalhype.com/birds/birds-with-yellow-beaks/',\n",
" 'height': 1024,\n",
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" 'source': 'Bing'},\n",
" {'title': '10 Incredible Hummingbird Species You Could See in Your Backyard | Family Handyman',\n",
" 'image': 'https://www.familyhandyman.com/wp-content/uploads/2019/07/shutterstock_627565535-Calliope.jpg?w=1200',\n",
" 'thumbnail': 'https://tse2.mm.bing.net/th?id=OIP.GxkYvyxgszNTbW5yqWkGOgHaHa&pid=Api',\n",
" 'url': 'https://www.familyhandyman.com/list/hummingbird-species-you-could-see-in-your-backyard/',\n",
" 'height': 1200,\n",
" 'width': 1200,\n",
" 'source': 'Bing'},\n",
" {'title': 'Blue Bird Wallpaper (68+ images)',\n",
" 'image': 'https://getwallpapers.com/wallpaper/full/7/6/a/1255753-beautiful-blue-bird-wallpaper-2560x1707.jpg',\n",
" 'thumbnail': 'https://tse1.mm.bing.net/th?id=OIP.n-jl-Uzd7TD8pukPRZpBKAHaE8&pid=Api',\n",
" 'url': 'https://getwallpapers.com/collection/blue-bird-wallpaper',\n",
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" 'width': 2560,\n",
" 'source': 'Bing'},\n",
" {'title': 'Northern Cardinal | Celebrate Urban Birds',\n",
" 'image': 'https://celebrateurbanbirds.org/wp-content/uploads/2016/05/northern-cardinal-1024x916.jpg',\n",
" 'thumbnail': 'https://tse3.mm.bing.net/th?id=OIP.l8Dmb6CHIiqHfuKn0hE1SgHaGo&pid=Api',\n",
" 'url': 'https://celebrateurbanbirds.org/learn/birds/focal-species/northern-cardinal/',\n",
" 'height': 916,\n",
" 'width': 1024,\n",
" 'source': 'Bing'},\n",
" {'title': 'Cardinal | Ohio birds, Red robin bird, Common birds',\n",
" 'image': 'https://i.pinimg.com/originals/48/7d/cc/487dccfd54aeba36db30de662f25ea30.jpg',\n",
" 'thumbnail': 'https://tse2.mm.bing.net/th?id=OIP.g8MDaeRDWqn34Onc13qu4AHaE9&pid=Api',\n",
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" 'source': 'Bing'},\n",
" {'title': 'Cute Birds Wallpapers | Download Free Bird Images',\n",
" 'image': 'https://1.bp.blogspot.com/-qxv7YAs5uuI/UWE5Avdn9sI/AAAAAAAAAac/awQTggyyNsA/s1600/cute+pear+tree+blossoms+with+red+birds+cardinal+2013+picture.Jpg',\n",
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" {'title': '19 common British birds in your garden | Love The Garden',\n",
" 'image': 'https://www.lovethegarden.com/sites/default/files/styles/large_retina/public/content/content_block/UK_wildbirds-04-goldfinch.jpg?itok=haxPXYsR',\n",
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" 'height': 720,\n",
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" {'title': 'Top 5 and 10 Lines on Parrot in English 2024/Few Best Lines',\n",
" 'image': 'https://jobsdigit.com/wp-content/uploads/2021/03/parrot-lines-essay-1024x743.jpg',\n",
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" 'url': 'https://jobsdigit.com/blog/top-5-10-lines-on-parrot-in-english-few-lines/',\n",
" 'height': 743,\n",
" 'width': 1024,\n",
" 'source': 'Bing'},\n",
" {'title': 'Colorful and Exotic Birds in Nature',\n",
" 'image': 'https://i.pinimg.com/originals/b8/8b/48/b88b489c204c229b1cb9912fd2f8d9bc.jpg',\n",
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" 'height': 1494,\n",
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" {'title': \"How can you ignore such a beautiful bird: Let's see the interesting thing (Video)\",\n",
" 'image': 'https://celebrateurbanbirds.org/wp-content/uploads/2016/05/northern-cardinal.jpg',\n",
" 'thumbnail': 'https://tse3.mm.bing.net/th?id=OIP.4VW1vSoRQ3ClzDUsTZiQjwAAAA&pid=Api',\n",
" 'url': 'https://vntin365.com/how-can-you-ignore-such-a-beautiful-bird-lets-see-the-interesting-thing-video-linhth002/',\n",
" 'height': 424,\n",
" 'width': 474,\n",
" 'source': 'Bing'},\n",
" {'title': '19 common British birds in your garden | Love The Garden',\n",
" 'image': 'https://www.lovethegarden.com/sites/default/files/content/articles/UK_wildbirds-04-goldfinch.jpg',\n",
" 'thumbnail': 'https://tse1.mm.bing.net/th?id=OIP.Ots3C9BG3bj06m-OIYrI1wHaFj&pid=Api',\n",
" 'url': 'https://www.lovethegarden.com/uk-en/article/19-common-british-birds-you-can-find-your-garden',\n",
" 'height': 1128,\n",
" 'width': 1504,\n",
" 'source': 'Bing'},\n",
" {'title': 'Pin by dawn aumann on Living Creatures | Common british birds, Common garden birds, Bird garden',\n",
" 'image': 'https://i.pinimg.com/originals/ef/b4/06/efb40632e710976fd21f35d6f0028d29.jpg',\n",
" 'thumbnail': 'https://tse3.mm.bing.net/th?id=OIP.JnJQ56ldV0nDcy5FbPVahAHaFj&pid=Api',\n",
" 'url': 'https://www.pinterest.com/pin/303570831133706884/',\n",
" 'height': 1128,\n",
" 'width': 1504,\n",
" 'source': 'Bing'},\n",
" {'title': '20,000+ Best Birds Photos · 100% Free Download · Pexels Stock Photos',\n",
" 'image': 'https://images.pexels.com/photos/416179/pexels-photo-416179.jpeg?auto=compress&cs=tinysrgb&dpr=1&w=500',\n",
" 'thumbnail': 'https://tse1.mm.bing.net/th?id=OIP.617SXz3_GvLEJ3j0SF1N5wHaE8&pid=Api',\n",
" 'url': 'https://www.pexels.com/search/birds',\n",
" 'height': 334,\n",
" 'width': 500,\n",
" 'source': 'Bing'},\n",
" {'title': 'Hummingbird Migration: A Marvel of Nature | Whitehawk Birding Blog',\n",
" 'image': 'https://www.whitehawkbirding.com/wp-content/uploads/2020/07/Rufous-Hummingbird-1230x1536.jpg',\n",
" 'thumbnail': 'https://tse4.mm.bing.net/th?id=OIP.HXn2jw8fzi4TrfVIu06BeQHaJP&pid=Api',\n",
" 'url': 'https://www.whitehawkbirding.com/hummingbird-migration/',\n",
" 'height': 1536,\n",
" 'width': 1230,\n",
" 'source': 'Bing'},\n",
" {'title': 'Wallpaper Nature Birds | Wallpapers Gallery',\n",
" 'image': 'http://images4.fanpop.com/image/photos/23400000/Birds-beautiful-nature-23445747-1024-768.jpg',\n",
" 'thumbnail': 'https://tse2.mm.bing.net/th?id=OIP.QtlindVP8RcM6nQfUL1N2gHaFj&pid=Api',\n",
" 'url': 'https://awallpapersgallery.blogspot.com/2015/10/wallpaper-nature-birds.html',\n",
" 'height': 768,\n",
" 'width': 1024,\n",
" 'source': 'Bing'},\n",
" {'title': 'Unique Birds (40 Pics) - STATIONGOSSIP',\n",
" 'image': 'https://i.imgur.com/w6JibQX.jpg',\n",
" 'thumbnail': 'https://tse3.mm.bing.net/th?id=OIP.gvIrcARWorPypat_jJEf3AHaHa&pid=Api',\n",
" 'url': 'http://www.stationgossip.com/2020/05/unique-birds-40-pics.html',\n",
" 'height': 700,\n",
" 'width': 700,\n",
" 'source': 'Bing'},\n",
" {'title': 'animals, Nature, Birds Wallpapers HD / Desktop and Mobile Backgrounds',\n",
" 'image': 'https://wallup.net/wp-content/uploads/2016/01/206531-animals-nature-birds.jpg',\n",
" 'thumbnail': 'https://tse4.mm.bing.net/th?id=OIP.9r1FK45OyzvEPnZ4HZKcxQHaEo&pid=Api',\n",
" 'url': 'https://wallup.net/animals-nature-birds-5/',\n",
" 'height': 1200,\n",
" 'width': 1920,\n",
" 'source': 'Bing'}]"
]
},
"execution_count": 131,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"DDGS().images('bird photos')"
]
},
{
"cell_type": "code",
"execution_count": 132,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'https://images.pexels.com/photos/1661179/pexels-photo-1661179.jpeg?cs=srgb&dl=green-bird-1661179.jpg&fm=jpg'"
]
},
"execution_count": 132,
"metadata": {},
"output_type": "execute_result"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\micro\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\curl_cffi\\aio.py:204: UserWarning: Curlm alread closed! quitting from process_data\n",
" warnings.warn(\"Curlm alread closed! quitting from process_data\")\n"
]
}
],
"source": [
"urls = search_images('bird photos', 10)\n",
"urls[0]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Image Download"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\micro\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
" from .autonotebook import tqdm as notebook_tqdm\n"
]
},
{
"data": {
"text/html": [
"\n",
"<style>\n",
" /* Turns off some styling */\n",
" progress {\n",
" /* gets rid of default border in Firefox and Opera. */\n",
" border: none;\n",
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
" background-size: auto;\n",
" }\n",
" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
" }\n",
" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
" background: #F44336;\n",
" }\n",
"</style>\n"
],
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"data": {
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"data": {
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"text/plain": [
"<PIL.Image.Image image mode=RGB size=219x256>"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from fastai.vision.all import Image\n",
"from fastdownload import download_url\n",
"\n",
"destination = 'images/bird.jpg'\n",
"download_url(urls[0], destination)\n",
"\n",
"image = Image.open(destination)\n",
"image.to_thumb(256, 256)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Forest Test"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<style>\n",
" /* Turns off some styling */\n",
" progress {\n",
" /* gets rid of default border in Firefox and Opera. */\n",
" border: none;\n",
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
" background-size: auto;\n",
" }\n",
" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
" }\n",
" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
" background: #F44336;\n",
" }\n",
"</style>\n"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
" <div>\n",
" <progress value='6070272' class='' max='6064064' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
" 100.10% [6070272/6064064 00:00&lt;00:00]\n",
" </div>\n",
" "
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<PIL.Image.Image image mode=RGB size=256x170>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\micro\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\curl_cffi\\aio.py:204: UserWarning: Curlm alread closed! quitting from process_data\n",
" warnings.warn(\"Curlm alread closed! quitting from process_data\")\n"
]
}
],
"source": [
"download_url(search_images('forest photo', max_images = 1)[0], 'images/forest.jpg')\n",
"Image.open('images/forest.jpg').to_thumb(256, 256)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Download Data Sets"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"from pathlib import Path\n",
"data_set_path = Path('bird_or_not')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"█\r"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\micro\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\curl_cffi\\aio.py:204: UserWarning: Curlm alread closed! quitting from process_data\n",
" warnings.warn(\"Curlm alread closed! quitting from process_data\")\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"█\r"
]
}
],
"source": [
"from fastai.vision.utils import download_images, resize_images\n",
"from time import sleep # Be nice to the DDG servers.\n",
"\n",
"searches = ['bird', 'forest']\n",
"\n",
"for search in searches:\n",
" destination = data_set_path/search\n",
" destination.mkdir(exist_ok = True, parents = True)\n",
" download_images(dest = destination, urls = search_images(f'{search} photo', max_images = 25))\n",
" sleep(5)\n",
" # Search for different lighting conditions.\n",
" download_images(dest = destination, urls = search_images(f'{search} sun photo', max_images = 25))\n",
" sleep(5)\n",
" download_images(dest = destination, urls = search_images(f'{search} shade photo', max_images = 25))\n",
" resize_images(path = destination, max_size = 400, dest = destination)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Verify Images"
]
},
{
"cell_type": "code",
"execution_count": 134,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0"
]
},
"execution_count": 134,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from fastai.vision.utils import get_image_files, verify_images\n",
"\n",
"failed_images = verify_images(get_image_files(data_set_path))\n",
"failed_images.map(Path.unlink)\n",
"len(failed_images)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Construct Training and Validation Sets"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"<Figure size 900x600 with 6 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data_loaders = DataBlock(\n",
" blocks = (ImageBlock, CategoryBlock),\n",
" get_items = get_image_files,\n",
" splitter = RandomSplitter(valid_pct = 0.2, seed = 42),\n",
" get_y = parent_label,\n",
" item_tfms = [Resize(192, method = 'squish')],\n",
").dataloaders(data_set_path, bs = 32)\n",
"\n",
"data_loaders.show_batch(max_n = 6)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Train Model"
]
},
{
"cell_type": "code",
"execution_count": 125,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"GPU Available: True\n",
"GPU Device: NVIDIA GeForce RTX 3090\n",
"CUDA Version: 11.8\n"
]
}
],
"source": [
"import torch\n",
"\n",
"print(f'GPU Available: {torch.cuda.is_available()}')\n",
"print(f'GPU Device: {torch.cuda.get_device_name(0)}')\n",
"print(f'CUDA Version: {torch.version.cuda}')\n",
"\n",
"# Shouldn't be necessary, just for reference:\n",
"# torch.set_default_device('cuda')\n",
"# import os\n",
"# os.environ['CUDA_VISIBLE_DEVICES'] = '0'"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<style>\n",
" /* Turns off some styling */\n",
" progress {\n",
" /* gets rid of default border in Firefox and Opera. */\n",
" border: none;\n",
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
" background-size: auto;\n",
" }\n",
" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
" }\n",
" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
" background: #F44336;\n",
" }\n",
"</style>\n"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: left;\">\n",
" <th>epoch</th>\n",
" <th>train_loss</th>\n",
" <th>valid_loss</th>\n",
" <th>error_rate</th>\n",
" <th>time</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td>0</td>\n",
" <td>0.712349</td>\n",
" <td>0.675835</td>\n",
" <td>0.250000</td>\n",
" <td>00:02</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
"<style>\n",
" /* Turns off some styling */\n",
" progress {\n",
" /* gets rid of default border in Firefox and Opera. */\n",
" border: none;\n",
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
" background-size: auto;\n",
" }\n",
" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
" }\n",
" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
" background: #F44336;\n",
" }\n",
"</style>\n"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: left;\">\n",
" <th>epoch</th>\n",
" <th>train_loss</th>\n",
" <th>valid_loss</th>\n",
" <th>error_rate</th>\n",
" <th>time</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td>0</td>\n",
" <td>0.253165</td>\n",
" <td>0.213951</td>\n",
" <td>0.071429</td>\n",
" <td>00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <td>1</td>\n",
" <td>0.133015</td>\n",
" <td>0.019212</td>\n",
" <td>0.000000</td>\n",
" <td>00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <td>2</td>\n",
" <td>0.093029</td>\n",
" <td>0.013886</td>\n",
" <td>0.000000</td>\n",
" <td>00:00</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from fastai.vision.learner import vision_learner, error_rate\n",
"from fastai.vision.models import resnet18\n",
"\n",
"model = vision_learner(data_loaders, arch = resnet18, metrics = error_rate)\n",
"model.fine_tune(3)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"cuda:0\n",
"cuda:0 cuda:0\n",
"cuda:0\n"
]
}
],
"source": [
"# Sanity checks\n",
"print(model.dls.device)\n",
"\n",
"x, y = data_loaders.one_batch()\n",
"print(x.device, y.device)\n",
"\n",
"print(next(model.model.parameters()).device)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"image/jpeg": "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
"image/png": "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
"text/plain": [
"<PIL.Image.Image image mode=RGB size=256x170>"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"test_image = PILImage.create('test_images/bird.jpg')\n",
"test_image.to_thumb(256, 256)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<style>\n",
" /* Turns off some styling */\n",
" progress {\n",
" /* gets rid of default border in Firefox and Opera. */\n",
" border: none;\n",
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
" background-size: auto;\n",
" }\n",
" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
" }\n",
" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
" background: #F44336;\n",
" }\n",
"</style>\n"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Category: bird.\n",
"Probabilities: tensor([9.9999e-01, 5.3161e-06])\n"
]
}
],
"source": [
"category, _, probability = model.predict(test_image)\n",
"print(f\"Category: {category}.\")\n",
"print(f\"Probabilities: {probability}\")"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"image/jpeg": "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
"image/png": "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
"text/plain": [
"<PIL.Image.Image image mode=RGB size=256x171>"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"test_image = PILImage.create('test_images/forest.jpg')\n",
"test_image.to_thumb(256, 256)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<style>\n",
" /* Turns off some styling */\n",
" progress {\n",
" /* gets rid of default border in Firefox and Opera. */\n",
" border: none;\n",
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
" background-size: auto;\n",
" }\n",
" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
" }\n",
" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
" background: #F44336;\n",
" }\n",
"</style>\n"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Category: forest.\n",
"Probabilities: tensor([5.5726e-04, 9.9944e-01])\n"
]
}
],
"source": [
"category, _, probability = model.predict(test_image)\n",
"print(f\"Category: {category}.\")\n",
"print(f\"Probabilities: {probability}\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.11.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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