Сохраните дату! Google I / O возвращается 18-20 мая Зарегистрируйтесь сейчас


Visualizer for supervised image datasets.

Inherits From: Visualizer



View source

See base class.


View source

Display the dataset.

ds tf.data.Dataset. The tf.data.Dataset object to visualize. Examples should not be batched. Examples will be consumed in order until (rows * cols) are read or the dataset is consumed.
ds_info tfds.core.DatasetInfo object of the dataset to visualize.
rows int, number of rows of the display grid.
cols int, number of columns of the display grid.
plot_scale float, controls the plot size of the images. Keep this value around 3 to get a good plot. High and low values may cause the labels to get overlapped.
image_key string, name of the feature that contains the image. If not set, the system will try to auto-detect it.

fig The pyplot figure.