{"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":"2023-10-08T12:24:53.800281Z","iopub.execute_input":"2023-10-08T12:24:53.801889Z","iopub.status.idle":"2023-10-08T12:24:54.406508Z","shell.execute_reply.started":"2023-10-08T12:24:53.801836Z","shell.execute_reply":"2023-10-08T12:24:54.405214Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import glob\nlarge_images = glob.glob(\"/kaggle/input/UBC-OCEAN/train_images/*.png\")","metadata":{"execution":{"iopub.status.busy":"2023-10-08T12:25:51.856014Z","iopub.execute_input":"2023-10-08T12:25:51.856361Z","iopub.status.idle":"2023-10-08T12:25:51.864179Z","shell.execute_reply.started":"2023-10-08T12:25:51.856335Z","shell.execute_reply":"2023-10-08T12:25:51.862734Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from PIL import Image\nimport PIL\nPIL.Image.MAX_IMAGE_PIXELS = 933120000\nimg = Image.open(large_images[0])\nfrom itertools import product\nprint(img.size)\n","metadata":{"execution":{"iopub.status.busy":"2023-10-08T12:27:09.329482Z","iopub.execute_input":"2023-10-08T12:27:09.329896Z","iopub.status.idle":"2023-10-08T12:27:09.338781Z","shell.execute_reply.started":"2023-10-08T12:27:09.329865Z","shell.execute_reply":"2023-10-08T12:27:09.337605Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def tile(filename, dir_in,dir_out, d):\n    name, ext = os.path.splitext(os.path.basename(large_images[0]))\n    img = Image.open(os.path.join(dir_in, filename))\n    w, h = img.size\n    grid = product(range(0, h-h%d, d), range(0, w-w%d, d))\n    for i, j in grid:\n        box = (j, i, j+d, i+d)\n        out = os.path.join(dir_out, f'{name}_{i}_{j}{ext}')\n        img.crop(box).save(out)","metadata":{"execution":{"iopub.status.busy":"2023-10-08T12:31:15.861684Z","iopub.execute_input":"2023-10-08T12:31:15.862068Z","iopub.status.idle":"2023-10-08T12:31:15.869506Z","shell.execute_reply.started":"2023-10-08T12:31:15.862037Z","shell.execute_reply":"2023-10-08T12:31:15.8683Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"tile(filename = large_images[0], dir_in=\"/\", dir_out=\"./\", d=1024)","metadata":{"execution":{"iopub.status.busy":"2023-10-08T12:31:17.573109Z","iopub.execute_input":"2023-10-08T12:31:17.573479Z","iopub.status.idle":"2023-10-08T12:35:25.176033Z","shell.execute_reply.started":"2023-10-08T12:31:17.573452Z","shell.execute_reply":"2023-10-08T12:35:25.174718Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"execution":{"iopub.status.busy":"2023-10-08T12:31:00.190412Z","iopub.execute_input":"2023-10-08T12:31:00.190819Z","iopub.status.idle":"2023-10-08T12:31:00.198231Z","shell.execute_reply.started":"2023-10-08T12:31:00.190788Z","shell.execute_reply":"2023-10-08T12:31:00.19702Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}