{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nimport cv2\nfrom PIL import Image, ImageDraw\nimport os","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"mask_path = \"masks\"\nif not (os.path.exists(mask_path)):\n    os.makedirs(mask_path)\ntrain_annotations = pd.read_csv(\"../input/ranzcr-clip-catheter-line-classification/train_annotations.csv\")\nimages_path = \"../input/ranzcr-clip-catheter-line-classification/train\"\ndef get_point(chosen):\n    points = []\n    for i, point in enumerate(train_annotations.iloc[chosen]['data'].split('],')):\n        if i==len(train_annotations.iloc[chosen]['data'].split('],'))-1:\n            xy = tuple([int(x) for x in point[2:-2].split(', ')])\n            points.append(xy)\n        else:\n            xy = tuple([int(x) for x in point[2:].split(', ')])\n            points.append(xy)\n    return points\n\nfile_names = np.unique(train_annotations['StudyInstanceUID'].values)\nfor file_name in file_names:\n    file_path = images_path + \"/\" + file_name + \".jpg\"\n    image = cv2.imread(file_path)\n    mask = np.zeros((image.shape[0], image.shape[1]), dtype=np.uint8)\n    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n    points = []\n    for value in train_annotations.loc[train_annotations['StudyInstanceUID']==file_name].index.values:\n        points.append(get_point(value))\n    mask = Image.fromarray(mask.astype(np.uint8), \"L\")\n    draw = ImageDraw.Draw(mask)\n    for p in points:\n        draw.line(p, fill=255, width=15)\n    mask.save(mask_path + \"/\" + file_name + \".jpg\")","execution_count":null,"outputs":[]}],"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":4,"nbformat_minor":4}