Praktyka_praca_magisterska_6_resnet.ipynb

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     "text": [
      "System nie może odnaleźć określonej ścieżki.\n"
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   "source": [
    "import numpy as np\n",
    "import pandas as pd \n",
    "import cv2\n",
    "from pathlib import Path\n",
    "from fastai.vision import *\n",
    "from fastai.vision.all import *\n",
    "from wordcloud import WordCloud, STOPWORDS\n",
    "from collections import Counter\n",
    "from nltk.corpus import stopwords\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import os\n",
    "import shutil\n",
    "from glob import glob\n",
    "%matplotlib inline"
   ]
  },
  {
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   "execution_count": 9,
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     "text": [
      "Classes: \n",
      " ['Albrecht_Dürer', 'Alfred_Sisley', 'Amedeo_Modigliani', 'Andrei_Rublev', 'Andy_Warhol', 'Camille_Pissarro', 'Caravaggio', 'Claude_Monet', 'Diego_Rivera', 'Diego_Velazquez', 'Edgar_Degas', 'Edouard_Manet', 'Edvard_Munch', 'El_Greco', 'Eugene_Delacroix', 'Francisco_Goya', 'Frida_Kahlo', 'Georges_Seurat', 'Giotto_di_Bondone', 'Gustav_Klimt', 'Gustave_Courbet', 'Henri_Matisse', 'Henri_Rousseau', 'Henri_de_Toulouse-Lautrec', 'Hieronymus_Bosch', 'Jackson_Pollock', 'Jan_van_Eyck', 'Joan_Miro', 'Kazimir_Malevich', 'Leonardo_da_Vinci', 'Marc_Chagall', 'Michelangelo', 'Mikhail_Vrubel', 'Pablo_Picasso', 'Paul_Cezanne', 'Paul_Gauguin', 'Paul_Klee', 'Peter_Paul_Rubens', 'Pierre-Auguste_Renoir', 'Piet_Mondrian', 'Pieter_Bruegel', 'Raphael', 'Rembrandt', 'Rene_Magritte', 'Salvador_Dali', 'Sandro_Botticelli', 'Titian', 'Vasiliy_Kandinskiy', 'Vincent_van_Gogh', 'William_Turner']\n"
     ]
    }
   ],
   "source": [
    "# Ścieżka do katalogu z obrazami\n",
    "img_dir = 'data/images/images'\n",
    "path = Path(img_dir)\n",
    "\n",
    "# Definicja DataBlock\n",
    "dblock = DataBlock(\n",
    "    blocks=(ImageBlock, CategoryBlock),\n",
    "    get_items=get_image_files,   # Pobiera wszystkie pliki obrazów z folderu\n",
    "    splitter=RandomSplitter(valid_pct=0.2, seed=42),  # Split na dane treningowe i walidacyjne\n",
    "    get_y=parent_label,  # Pobiera etykiety z nazw folderów\n",
    "    item_tfms=Resize(299),  # Rozmiar obrazu po załadowaniu\n",
    "    batch_tfms=aug_transforms(size=299)  # Augmentacja danych\n",
    ")\n",
    "\n",
    "# Tworzenie DataLoaders\n",
    "data = dblock.dataloaders(path, bs=64, num_workers=0)\n",
    "\n",
    "# Wyświetlenie klas\n",
    "print(f'Classes: \\n {data.vocab}')\n"
   ]
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      "C:\\Users\\agawr\\anaconda3\\lib\\site-packages\\fastai\\vision\\learner.py:303: UserWarning: `cnn_learner` has been renamed to `vision_learner` -- please update your code\n",
      "  warn(\"`cnn_learner` has been renamed to `vision_learner` -- please update your code\")\n",
      "Downloading: \"https://download.pytorch.org/models/resnet50-11ad3fa6.pth\" to C:\\Users\\agawr/.cache\\torch\\hub\\checkpoints\\resnet50-11ad3fa6.pth\n",
      "100%|██████████| 97.8M/97.8M [00:05<00:00, 17.5MB/s]\n"
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       "<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>accuracy</th>\n",
       "      <th>time</th>\n",
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    "# Definicja ścieżki do modelu\n",
    "model_dir = Path(\"/kaggle/working/\")\n",
    "\n",
    "# Tworzenie modelu i jego uczenie\n",
    "learn = cnn_learner(data, resnet50, metrics=accuracy, model_dir=model_dir)\n",
    "learn.fit_one_cycle(3)\n"
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\n",
      "text/plain": [
       "<Figure size 900x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "interp = ClassificationInterpretation.from_learner(learn)\n",
    "interp.plot_confusion_matrix(figsize=(15,15), dpi=60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from fastai.vision.all import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting fastai\n",
      "  Using cached fastai-2.7.17-py3-none-any.whl (234 kB)\n",
      "Requirement already satisfied: requests in c:\\users\\agawr\\anaconda3\\lib\\site-packages (from fastai) (2.26.0)\n",
      "Requirement already satisfied: scikit-learn in c:\\users\\agawr\\anaconda3\\lib\\site-packages (from fastai) (1.5.2)\n",
      "Collecting fastcore<1.8,>=1.5.29\n",
      "  Downloading fastcore-1.7.8-py3-none-any.whl (79 kB)\n",
      "Collecting torchvision>=0.11\n",
      "  Using cached torchvision-0.19.1-cp39-cp39-win_amd64.whl (1.3 MB)\n",
      "Requirement already satisfied: pyyaml in c:\\users\\agawr\\anaconda3\\lib\\site-packages (from fastai) (6.0)\n",
      "Collecting fastprogress>=0.2.4\n",
      "  Using cached fastprogress-1.0.3-py3-none-any.whl (12 kB)\n",
      "Requirement already satisfied: packaging in c:\\users\\agawr\\anaconda3\\lib\\site-packages (from fastai) (21.0)\n",
      "Requirement already satisfied: matplotlib in c:\\users\\agawr\\anaconda3\\lib\\site-packages (from fastai) (3.4.3)\n",
      "Collecting pillow>=9.0.0\n",
      "  Downloading pillow-10.4.0-cp39-cp39-win_amd64.whl (2.6 MB)\n",
      "Requirement already satisfied: pandas in c:\\users\\agawr\\anaconda3\\lib\\site-packages (from fastai) (1.3.4)\n",
      "Collecting fastdownload<2,>=0.0.5\n",
      "  Using cached fastdownload-0.0.7-py3-none-any.whl (12 kB)\n",
      "Requirement already satisfied: pip in c:\\users\\agawr\\anaconda3\\lib\\site-packages (from fastai) (21.2.4)\n",
      "Collecting torch<2.5,>=1.10\n",
      "  Using cached torch-2.4.1-cp39-cp39-win_amd64.whl (199.3 MB)\n",
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      "Installing collected packages: pydantic-core, colorama, catalogue, annotated-types, srsly, shellingham, pydantic, murmurhash, marisa-trie, cymem, wasabi, typer, smart-open, preshed, language-data, confection, cloudpathlib, blis, weasel, torch, thinc, spacy-loggers, spacy-legacy, pillow, langcodes, fastprogress, fastcore, torchvision, spacy, fastdownload, fastai\n",
      "  Attempting uninstall: colorama\n",
      "    Found existing installation: colorama 0.4.4\n",
      "    Uninstalling colorama-0.4.4:\n",
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      "  Attempting uninstall: pillow\n",
      "    Found existing installation: Pillow 8.4.0\n",
      "    Uninstalling Pillow-8.4.0:\n",
      "      Successfully uninstalled Pillow-8.4.0\n",
      "Successfully installed annotated-types-0.7.0 blis-0.7.11 catalogue-2.0.10 cloudpathlib-0.19.0 colorama-0.4.6 confection-0.1.5 cymem-2.0.8 fastai-2.7.17 fastcore-1.7.8 fastdownload-0.0.7 fastprogress-1.0.3 langcodes-3.4.0 language-data-1.2.0 marisa-trie-1.2.0 murmurhash-1.0.10 pillow-10.4.0 preshed-3.0.9 pydantic-2.9.2 pydantic-core-2.23.4 shellingham-1.5.4 smart-open-7.0.4 spacy-3.7.6 spacy-legacy-3.0.12 spacy-loggers-1.0.5 srsly-2.4.8 thinc-8.2.5 torch-2.4.1 torchvision-0.19.1 typer-0.12.5 wasabi-1.1.3 weasel-0.4.1\n"
     ]
    }
   ],
   "source": [
    "!pip install fastai"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'learn' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_21840/1890601618.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m# Sprawdzenie, co jest przechowywane w learn.recorder\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlearn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrecorder\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'learn' is not defined"
     ]
    }
   ],
   "source": [
    "# Sprawdzenie, co jest przechowywane w learn.recorder\n",
    "print(learn.recorder)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Wyciąganie wyników z learn.recorder w fastai v2\n",
    "import pandas as pd\n",
    "\n",
    "# Zakładając, że learn jest obiektem Learner\n",
    "epochs = len(learn.recorder.losses)\n",
    "results = {\n",
    "    'epoch': list(range(epochs)),\n",
    "    'train_loss': [float(loss) for loss in learn.recorder.losses],\n",
    "    'valid_loss': [float(loss) for loss in learn.recorder.val_losses],\n",
    "    'accuracy': [float(acc[0]) for acc in learn.recorder.metrics],\n",
    "    'val_accuracy': [float(acc[1]) if len(acc) > 1 else None for acc in learn.recorder.metrics]\n",
    "}\n",
    "\n",
    "df_results = pd.DataFrame(results)\n",
    "print(df_results)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Wyciąganie wyników po treningu\n",
    "if 'learn' in locals():\n",
    "    # Wyciąganie wyników\n",
    "    losses = learn.recorder.losses\n",
    "    val_losses = learn.recorder.val_losses\n",
    "    metrics = learn.recorder.metrics\n",
    "    \n",
    "    # Tworzenie DataFrame\n",
    "    df_results = pd.DataFrame({\n",
    "        'epoch': range(len(losses)),\n",
    "        'train_loss': [loss.item() for loss in losses],\n",
    "        'valid_loss': [loss.item() for loss in val_losses],\n",
    "        'accuracy': [metric[0].item() if len(metric) > 0 else None for metric in metrics],\n",
    "        'val_accuracy': [metric[1].item() if len(metric) > 1 else None for metric in metrics]\n",
    "    })\n",
    "    \n",
    "    print(df_results)\n",
    "else:\n",
    "    print(\"Obiekt 'learn' nie jest zdefiniowany.\")\n"
   ]
  }
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