{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"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":"2023-09-22T13:50:00.260824Z","iopub.execute_input":"2023-09-22T13:50:00.261433Z","iopub.status.idle":"2023-09-22T13:50:00.790993Z","shell.execute_reply.started":"2023-09-22T13:50:00.261400Z","shell.execute_reply":"2023-09-22T13:50:00.789348Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Basic\nimport os\nfrom os import makedirs\nfrom os import listdir\nfrom shutil import copyfile\nfrom random import seed\nfrom random import random\nimport numpy as np\nimport pandas as pd","metadata":{"execution":{"iopub.status.busy":"2023-09-22T13:51:20.819203Z","iopub.execute_input":"2023-09-22T13:51:20.819869Z","iopub.status.idle":"2023-09-22T13:51:20.828163Z","shell.execute_reply.started":"2023-09-22T13:51:20.819835Z","shell.execute_reply":"2023-09-22T13:51:20.826582Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_path = \"../input/dogs-vs-cats-redux-kernels-edition/test.zip\"\ntest_path = \"../input/dogs-vs-cats-redux-kernels-edition/train.zip\"\n\nfiles = \"/kaggle/working/\"\n\nimport zipfile\n\nwith zipfile.ZipFile(train_path, 'r') as zipp:\n    zipp.extractall(files)\n    \nwith zipfile.ZipFile(test_path, 'r') as zipp:\n    zipp.extractall(files)","metadata":{"execution":{"iopub.status.busy":"2023-09-22T13:51:53.952702Z","iopub.execute_input":"2023-09-22T13:51:53.953108Z","iopub.status.idle":"2023-09-22T13:52:11.123055Z","shell.execute_reply.started":"2023-09-22T13:51:53.953076Z","shell.execute_reply":"2023-09-22T13:52:11.121667Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"image_dir = \"../working/train/\"\n\nfilenames = os.listdir(image_dir)\nlabels = [x.split(\".\")[0] for x in filenames]\n\ndata = pd.DataFrame({\"filename\": filenames, \"label\": labels})\n\ndata.head()","metadata":{"execution":{"iopub.status.busy":"2023-09-22T13:52:20.415030Z","iopub.execute_input":"2023-09-22T13:52:20.415500Z","iopub.status.idle":"2023-09-22T13:52:20.487266Z","shell.execute_reply.started":"2023-09-22T13:52:20.415466Z","shell.execute_reply":"2023-09-22T13:52:20.485960Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#read image\nfrom PIL import Image\nfor i in range(1,10):\n    filename='train/'+'dog.'+str(i)+'.jpg'\n    img_path = filename\n    img = Image.open(img_path)\n    img","metadata":{"execution":{"iopub.status.busy":"2023-09-22T14:06:13.208512Z","iopub.execute_input":"2023-09-22T14:06:13.209657Z","iopub.status.idle":"2023-09-22T14:06:13.218024Z","shell.execute_reply.started":"2023-09-22T14:06:13.209617Z","shell.execute_reply":"2023-09-22T14:06:13.216479Z"}},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"execution":{"iopub.status.busy":"2023-10-07T09:45:07.363762Z","iopub.execute_input":"2023-10-07T09:45:07.364121Z","iopub.status.idle":"2023-10-07T09:45:07.669987Z","shell.execute_reply.started":"2023-10-07T09:45:07.364096Z","shell.execute_reply":"2023-10-07T09:45:07.668084Z"},"trusted":true},"execution_count":null,"outputs":[]}]}