{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"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 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\nfrom subprocess import check_output\nprint(check_output([\"ls\", \"../input\"]).decode(\"utf8\"))\n\n# Any results you write to the current directory are saved as output."},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":"%ls"},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":"df_train_info = pd.read_csv('../input/train_info.csv')"},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":"df_train_info.head()"},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":"import numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\n%matplotlib inline\nfrom PIL import Image, ImageFilter\nimport random\nimport cv2\nimport os, glob\n\n#t = pd.read_csv('../input/train_info.csv'); t.head()\n#s = pd.read_csv('../input/submission_info.csv'); s.head()\ntrain_files = [f for f in glob.glob(\"../input/train_2/*\")]\ni_ = 0\nplt.rcParams['figure.figsize'] = (10.0, 10.0)\nplt.subplots_adjust(wspace=0, hspace=0)\nfor l in train_files[:100]:\n    im = cv2.imread(l)\n    im = cv2.resize(im, (50, 50)) \n    plt.subplot(10, 10, i_+1) #.set_title(l)\n    plt.imshow(cv2.cvtColor(im, cv2.COLOR_BGR2RGB)); plt.axis('off')\n    i_ += 1"}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"}},"nbformat":4,"nbformat_minor":0}