{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.14","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":3362,"databundleVersionId":31148,"sourceType":"competition"}],"dockerImageVersionId":30761,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2024-09-12T10:55:48.684867Z","iopub.execute_input":"2024-09-12T10:55:48.686289Z","iopub.status.idle":"2024-09-12T10:55:49.245295Z","shell.execute_reply.started":"2024-09-12T10:55:48.686223Z","shell.execute_reply":"2024-09-12T10:55:49.244057Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Descomprimimos y leemos los datos.\n","metadata":{}},{"cell_type":"code","source":"import zipfile\nimport os\n\n# Definir las rutas\ntrain_zip = '/kaggle/input/dogs-vs-cats/train.zip'\ntest_zip ='/kaggle/input/dogs-vs-cats/test1.zip'\nextract_path = '/kaggle/output/dogs-vs-cats/'\n\n# Extraer el conjunto de entrenamiento\nwith zipfile.ZipFile(train_zip, 'r') as zip_ref:\n    zip_ref.extractall(extract_path)\n\n# Extraer el conjunto de prueba\nwith zipfile.ZipFile(test_zip, 'r') as zip_ref:\n    zip_ref.extractall(extract_path)\n\nprint(\"Datos extraídos exitosamente\")\n","metadata":{"execution":{"iopub.status.busy":"2024-09-12T11:06:41.123323Z","iopub.execute_input":"2024-09-12T11:06:41.123797Z","iopub.status.idle":"2024-09-12T11:07:01.190649Z","shell.execute_reply.started":"2024-09-12T11:06:41.123749Z","shell.execute_reply":"2024-09-12T11:07:01.189250Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"for dirname, _, filenames in os.walk('/kaggle/output'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))","metadata":{"execution":{"iopub.status.busy":"2024-09-12T11:09:41.870992Z","iopub.execute_input":"2024-09-12T11:09:41.872216Z","iopub.status.idle":"2024-09-12T11:09:42.447146Z","shell.execute_reply.started":"2024-09-12T11:09:41.872159Z","shell.execute_reply":"2024-09-12T11:09:42.445266Z"},"collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Movemos los archivos de perros y gatos a carpetas separadas","metadata":{}},{"cell_type":"code","source":"\nimport shutil\n\n# Definir la ruta a la carpeta de entrenamiento\ntrain_dir = '/kaggle/output/dogs-vs-cats/train/'\n\n# Crear subdirectorios para gatos y perros\nos.makedirs(os.path.join(train_dir, 'cats'), exist_ok=True)\nos.makedirs(os.path.join(train_dir, 'dogs'), exist_ok=True)\n\n# Mover imágenes a sus carpetas correspondientes\nfor filename in os.listdir(train_dir):\n    print (filename)\n    if filename =='cats': continue\n    if filename =='dogs': continue\n    # Ignorar las subcarpetas ya creadas\n    if os.path.isdir(filename):\n        continue\n    if 'cat' in filename:\n        shutil.move(os.path.join(train_dir, filename), os.path.join(train_dir, 'cats', filename))\n    elif 'dog' in filename:\n        shutil.move(os.path.join(train_dir, filename), os.path.join(train_dir, 'dogs', filename))\n\nprint(\"Imágenes organizadas en carpetas 'cats' y 'dogs'.\")\n","metadata":{"execution":{"iopub.status.busy":"2024-09-12T11:30:08.147584Z","iopub.execute_input":"2024-09-12T11:30:08.148051Z","iopub.status.idle":"2024-09-12T11:30:09.899112Z","shell.execute_reply.started":"2024-09-12T11:30:08.148008Z","shell.execute_reply":"2024-09-12T11:30:09.897582Z"},"collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Comprobamos que se han movido correcvtamente los archivos","metadata":{}},{"cell_type":"code","source":"for dirname, _, filenames in os.walk('/kaggle/output'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))","metadata":{"execution":{"iopub.status.busy":"2024-09-12T11:31:34.351294Z","iopub.execute_input":"2024-09-12T11:31:34.351893Z","iopub.status.idle":"2024-09-12T11:31:34.942192Z","shell.execute_reply.started":"2024-09-12T11:31:34.351843Z","shell.execute_reply":"2024-09-12T11:31:34.940156Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Comprobamos que se han extraido los archivos necesarios","metadata":{}}]}