{"cells":[{"metadata":{},"cell_type":"markdown","source":"[Неплохой туториал на Kaggle](https://www.kaggle.com/alexanderliao/image-augmentation-demo-with-albumentation)"},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"# импорт бибилиотек\n\nimport albumentations as A\nimport cv2\nimport matplotlib.pyplot as plt\nimport numpy as np \nimport os\nimport zipfile\n\n# настройка размеров графиков\n%pylab inline\npylab.rcParams['figure.figsize'] = (8, 8)\n\n# смотрим на файлы\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"# распакуем трейн\n\nwith zipfile.ZipFile('/kaggle/input/dogs-vs-cats/train.zip', 'r') as zip_ref:\n    zip_ref.extractall('data')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# посмотрим на оригинальную фотку\n\nimg = cv2.imread('/kaggle/working/data/train/dog.3668.jpg',  cv2.IMREAD_COLOR)\nimg = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n\nplt.imshow(img);","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"aug = A.HorizontalFlip(p=1)\nimage = aug(image=img)['image']\n\nplt.imshow(image);","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"aug = A.GridDistortion(distort_limit = (0.8, 0.9), p=2)\nimage = aug(image=img)['image']\n\nplt.imshow(image);","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# сразу несколько\n\ndef compose_aug(p=0.5):\n    return A.Compose([\n    A.RandomBrightnessContrast(p=p),    \n    A.RandomGamma(p=p),    \n    A.CLAHE(p=p), \n    A.HueSaturationValue(hue_shift_limit=20, sat_shift_limit=50, val_shift_limit=50, p=p)\n    ], p=p)\n\n\naug = compose_aug(p=10)\nimage = aug(image=img)['image']\n\nplt.imshow(image);","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}