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I am using tf.keras.preprocessing.image_dataset_from_directory. According to the documentation, the related image_size parameter is the Size to resize images to after they are read from disk. How...
#2: Post edited
by
Alexei
·
2020-12-22T07:53:58Z (almost 4 years ago)
added relevant tag
- I am using ```tf.keras.preprocessing.image_dataset_from_directory```.
- According to the [documentation](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/image_dataset_from_directory), the related ```image_size``` parameter is the *Size to resize images to after they are read from disk*.
- How exactly is this resizing done?
- I am using ```tf.keras.preprocessing.image_dataset_from_directory```.
- According to the [documentation](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/image_dataset_from_directory), the related ```image_size``` parameter is the *Size to resize images to after they are read from disk*.
- How exactly is this resizing done?
#1: Initial revision
by
Guilherme Costa
·
2020-11-01T11:30:36Z (about 4 years ago)
Keras image_dataset_from_directory - how image size works
I am using ```tf.keras.preprocessing.image_dataset_from_directory```. According to the [documentation](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/image_dataset_from_directory), the related ```image_size``` parameter is the *Size to resize images to after they are read from disk*. How exactly is this resizing done?