{"cells":[{"metadata":{"trusted":true},"cell_type":"code","source":"import psutil","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"def get_size(bytes, suffix=\"B\"):\n    factor = 1024\n    for unit in [\"\", \"K\", \"M\", \"G\", \"T\", \"P\"]:\n        if bytes < factor:\n            return f\"{bytes:.2f}{unit}{suffix}\"\n        bytes /= factor","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"import cv2\nimport os\nimg_folders = [\n    \"../input/aptos2019-blindness-detection/train_images\",\n    \"../input/aptos2019-blindness-detection/test_images\",\n    \"../input/fashion-product-images-dataset/fashion-dataset/fashion-dataset/images\",\n]\n\nimage = None\nlast_mem = psutil.virtual_memory().used\ni = 0\nfor n, folder in enumerate(img_folders):\n    print(f\"Folder: {folder}\")\n    (_, _, filelist) = next(os.walk(folder))\n    for m, file in enumerate(filelist):\n        if i % 10000 == 0:\n            #print(f\"Files read: {m}/{len(filelist)}    \", end=\"\\r\")\n            print(f\"Files read: {m}/{len(filelist)}    \")\n            mem = psutil.virtual_memory().used\n            print(\"Memory used: {} (increased by {}%)\".format(get_size(mem), 100*round((mem-last_mem)/last_mem, 2)))\n            print(\"Memory available: {}\".format(get_size(psutil.virtual_memory().available)))\n            print(\"Memory free: {}\".format(get_size(psutil.virtual_memory().free)))\n            last_mem = mem\n        filepath = os.path.join(folder, file)\n        image = cv2.imread(filepath)\n        i += 1\n    print(f\"Files read: {len(filelist)}/{len(filelist)}    \")","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"!free -m","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}