Data:
{
"text": "train_datagen = ImageDataGenerator(rescale=1/255,)\n\n# Provide the same seed and keyword arguments to the fit and flow methods\nseed = 1\n\ntrain1_image_generator = train_datagen.flow_from_directory(\n '/kaggle/input/sysu-cd/SYSU-CD/train/train/time1',\n target_size=(256, 256),\n color_mode='rgb', \n batch_size=64,\n class_mode=None, \n seed=seed)\n\ntrain2_image_generator = train_datagen.flow_from_directory(\n '/kaggle/input/sysu-cd/SYSU-CD/train/train/time2',\n target_size=(256, 256),\n color_mode='rgb', \n batch_size=64,\n class_mode=None, \n seed=seed)\n\ntrain_mask_generator = train_datagen.flow_from_directory(\n '/kaggle/input/sysu-cd/SYSU-CD/train/train/label',\n target_size=(256, 256),\n color_mode='grayscale',\n batch_size=64,\n class_mode=None,\n seed=seed)\n\n# combine generators into one which yields image and masks\ntrain_generator = zip((train1_image_generator, train1_image_generator), train_mask_generator)\n\nOutput \nFound 0 images belonging to 0 classes.\nFound 0 images belonging to 0 classes.\nFound 0 images belonging to 0 classes.\n\nThe folder contains 256*256 png images ",
"label": "r/tensorflow",
"dataType": "post",
"communityName": "r/tensorflow",
"datetime": "2024-05-18",
"username_encoded": "Z0FBQUFBQm5LakwzdURDdzBYV1RCUjhLMzJkTG1GMVQ3OTZQa2VmdjN6QmlRT01pUU5aYXg3MXVTTGs0bHVZNXlFeTRHNUNiZURJM0djUWdwQVJBQzlDUGo4N0tVd0NNZFVCMVVzbktPMHFOU1h6TVUySGVOTnc9",
"url_encoded": "Z0FBQUFBQm5Lak9ITEFhOFVxSHFJQ3dESTFvaktVUUhmT01vcW51bkNFV2k5cUtlUGVKeTJUWWVOMWk4RWF5SVBsdmFfaDloTHpBQlUzZnFmRnhjelYtNnFucEJhM2NfMnhTTERlUWxkdHF6U2dQSFhwZkNOX1IweW1EQnhpck50T05nTXhRZmM2bjFLQ0pyRVQwTFBUTTlfOFFfRjJfU1pCWUpaeXY0ZXQtblpSQmRzN200QUlqTk9tc2xNV0poRld4OGhfMm1sTjFu"
}