Row 7904

Row ID: 7904 | Dataset Entry | Axioma AXP Content Repository

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train_datagen = ImageDataGenerator(rescale=1/255,)

# Provide the same seed and keyword arguments to the fit and flow methods seed = 1

train1_image_generator = train_datagen.flow_from_directory( '/kaggle/input/sysu-cd/SYSU-CD/train/train/time1', target_size=(256, 256), color_mode='rgb', batch_size=64, class_mode=None, seed=seed)

train2_image_generator = train_datagen.flow_from_directory( '/kaggle/input/sysu-cd/SYSU-CD/train/train/time2', target_size=(256, 256), color_mode='rgb', batch_size=64, class_mode=None, seed=seed)

train_mask_generator = train_datagen.flow_from_directory( '/kaggle/input/sysu-cd/SYSU-CD/train/train/label', target_size=(256, 256), color_mode='grayscale', batch_size=64, class_mode=None, seed=seed)

# combine generators into one which yields image and masks train_generator = zip((train1_image_generator, train1_image_generator), train_mask_generator)

Output Found 0 images belonging to 0 classes. Found 0 images belonging to 0 classes. Found 0 images belonging to 0 classes.

The folder contains 256*256 png images

FieldValue
text train_datagen = ImageDataGenerator(rescale=1/255,) # Provide the same seed and keyword arguments to the fit and flow methods seed = 1 train1_image_generator = train_datagen.flow_from_directory( '/kaggle/input/sysu-cd/SYSU-CD/train/train/time1', target_size=(256, 256), color_mode='rgb', batch_size=64, class_mode=None, seed=seed) train2_image_generator = train_datagen.flow_from_directory( '/kaggle/input/sysu-cd/SYSU-CD/train/train/time2', target_size=(256…
label r/tensorflow
dataType post
communityName r/tensorflow
datetime 2024-05-18
username_encoded Z0FBQUFBQm5LakwzdURDdzBYV1RCUjhLMzJkTG1GMVQ3OTZQa2VmdjN6QmlRT01pUU5aYXg3MXVTTGs0bHVZNXlFeTRHNUNiZURJM0djUWdwQVJBQzlDUGo4N0tVd0NNZFVCMVVzbktPMHFOU1h6TVUySGVOTnc9
url_encoded Z0FBQUFBQm5Lak9ITEFhOFVxSHFJQ3dESTFvaktVUUhmT01vcW51bkNFV2k5cUtlUGVKeTJUWWVOMWk4RWF5SVBsdmFfaDloTHpBQlUzZnFmRnhjelYtNnFucEJhM2NfMnhTTERlUWxkdHF6U2dQSFhwZkNOX1IweW1EQnhpck50T05nTXhRZmM2bjFLQ0pyRVQwTFBUTTlfOFFfRjJfU1pCWUpaeXY0ZXQtblpSQmRzN200QUlqTk9tc2xNV0poRld4OGhfMm1sTjFu

Raw Record

{
  "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"
}
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