{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"3cdfe0f3-79a9-a1bb-0401-e397fd00cf1f"},"outputs":[],"source":"from PIL import Image, ImageFilter\n\nimport os\n\nimport pylzma\n\n#Read image\nim = Image.open( os.path.join(\"../input/Train/41.jpg\") )\n#Display image\nim.show()\n\n'''\nimport matplotlib.pyplot as plt\n\nfrom skimage import data\nfrom skimage.color import rgb2hed\nfrom matplotlib.colors import LinearSegmentedColormap\n\ncmap_seal = LinearSegmentedColormap.from_list('mycmap', ['white', 'saddlebrown'])\n\nihc_rgb = data.immunohistochemistry()\nihc_hed = rgb2hed(ihc_rgb)\n\nfig, axes = plt.subplots(2, 2, figsize=(7, 6), sharex=True, sharey=True,\n                         subplot_kw={'adjustable': 'box-forced'})\nax = axes.ravel()\n\nax[0].imshow(ihc_rgb)\nax[0].set_title(\"Original image\")\n\nax[1].imshow(ihc_hed[:, :, 0], cmap=cmap_seal)\nax[1].set_title(\"Seals\")\n\nfor a in ax.ravel():\n    a.axis('off')\n\nfig.tight_layout()'''"}],"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":"3.6.0"}},"nbformat":4,"nbformat_minor":0}