{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"%matplotlib inline\n# 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 in \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 \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n\nimport os\nprint(os.listdir(\"../input\"))\n\n# Any results you write to the current directory are saved as output.","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"from PIL import Image\nimport math\nimport matplotlib.pyplot as plt\nimport random\n\ndef aspect_ratio_histogram(folder_path, bins=None):\n    aspect_ratios = []\n    images_path = list(folder_path.glob(\"*.png\"))\n    random.shuffle(images_path)\n    print(len(images_path))\n    for image_path in images_path:\n        image = np.asarray(Image.open(str(image_path)))\n        assert(len(image.shape)==3) # (W, H, C)\n        # aspect_ratios.append(image.shape[0] / image.shape[1])\n        aspect_ratios.append(math.log10(image.shape[0] / image.shape[1]))\n    aspect_ratios = np.asarray(aspect_ratios)\n    n, bins, patches = plt.hist(aspect_ratios, bins=bins, log=True, alpha=0.5)\n    return bins\n\nfrom pathlib import Path\ntrain_path = Path(\"../input/train/\")\ntest_path = Path(\"../input/test/\")\nbins = aspect_ratio_histogram(train_path, bins=100)\naspect_ratio_histogram(test_path, bins=bins)\nplt.savefig('aspect_ratio_histogram.png')","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}