{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"9115fc97-71f3-4325-8fde-4500a2781a72"},"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"},{"cell_type":"markdown","metadata":{"_cell_guid":"7e080957-bcc1-42d3-86a4-9221307dd103"},"source":"## Artwork from Artwork - Is that Possible?"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"3e6f433f-d57d-477a-a2eb-4d529f96b94b"},"outputs":[],"source":"im1 = Image.open('../input/train_2/23504.jpg')\nim2 = Image.open('../input/train_2/22873.jpg')\nw1, h1 = im1.size; w2, h2 = im2.size\np2 = im2.load() #get pixels\nfor x in range(0, w1,2):\n    if x < w2:\n        for y in range(0, h1,2):\n            if y < h2:\n                 im1.putpixel((x, y), p2[x,y])\nplt.imshow(im1); plt.axis('off')"},{"cell_type":"markdown","metadata":{"_cell_guid":"768fb664-d3bd-4bea-a681-feecce8ce2d0"},"source":"## Lets test some basic filters\n\n    BLUR\n    CONTOUR\n    DETAIL\n    EDGE_ENHANCE\n    EDGE_ENHANCE_MORE\n    EMBOSS\n    FIND_EDGES\n    SMOOTH\n    SMOOTH_MORE\n    SHARPEN"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"124e04eb-266a-4001-bfbe-e9b65f47fe5a"},"outputs":[],"source":"iFilters = [ImageFilter.BLUR, ImageFilter.CONTOUR, ImageFilter.DETAIL, \n            ImageFilter.EDGE_ENHANCE, ImageFilter.EDGE_ENHANCE_MORE, ImageFilter.EMBOSS, \n            ImageFilter.FIND_EDGES, ImageFilter.SMOOTH, ImageFilter.SMOOTH_MORE, \n            ImageFilter.SHARPEN]\nplt.rcParams['figure.figsize'] = (6.0, 20.0)\nplt.subplots_adjust(wspace=0, hspace=0)\nfor i in range(10):\n    im3 = im2\n    im3 = im3.filter(iFilters[i])\n    #im = cv2.resize(im, (300, 300)) \n    plt.subplot(5, 2, i+1) #.set_title(l)\n    plt.imshow(im3); plt.axis('off')"},{"cell_type":"markdown","metadata":{"_cell_guid":"7b3c00db-9a23-4d9a-b253-b6859de657fe"},"source":"## Lets add a third image"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"23c06f17-16bd-46b6-b969-c0c704da8a1f"},"outputs":[],"source":"plt.rcParams['figure.figsize'] = (10.0, 10.0)\nim2 = Image.open(train_files[61])\nim2 = im2.resize((w1,h1), Image.ANTIALIAS)\nw2, h2 = im2.size\np1 = im1.load(); p2 = im2.load()\nfor x in range(0, w1,1):\n    if x < w2:\n        for y in range(0, h1,1):\n            if y < h2:\n                 im1.putpixel((x, y), (p1[x,y][0], p1[x,y][1], p2[x,y][2]))\nplt.imshow(im1); plt.axis('off')"},{"cell_type":"markdown","metadata":{"_cell_guid":"5457d216-6428-486f-b797-8df50a1c041c"},"source":"## Features, Features, Features"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"36a0ccc9-a928-4cd9-9da4-983bf003978d"},"outputs":[],"source":"from PIL import ImageStat\nstats = ImageStat.Stat(im1, mask=None)\nprint(stats.extrema)\nprint(stats.count)\nprint(stats.sum)\nprint(stats.sum2)\nprint(stats.mean)\nprint(stats.median)\nprint(stats.rms)\nprint(stats.var)\nprint(stats.stddev)"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"a63b4424-2cd3-4f0a-a1ff-2d13b3045229"},"outputs":[],"source":""}],"metadata":{"_change_revision":0,"_is_fork":false,"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.5.2"}},"nbformat":4,"nbformat_minor":0}