tf.summary.image(name, tensor, max_outputs=3, collections=None)
See the guide: Summary Operations > Generation of Summaries
Summary protocol buffer with images.
The summary has up to
max_outputs summary values containing images. The
images are built from
tensor which must be 4-D with shape
height, width, channels] and where
channels can be:
tensoris interpreted as Grayscale.
tensoris interpreted as RGB.
tensoris interpreted as RGBA.
The images have the same number of channels as the input tensor. For float
input, the values are normalized one image at a time to fit in the range
uint8 values are unchanged. The op uses two different
If the input values are all positive, they are rescaled so the largest one is 255.
If any input value is negative, the values are shifted so input value 0.0 is at 127. They are then rescaled so that either the smallest value is 0, or the largest one is 255.
tag in the outputted Summary.Value protobufs is generated based on the
name, with a suffix depending on the max_outputs setting:
max_outputsis 1, the summary value tag is 'name/image'.
max_outputsis greater than 1, the summary value tags are generated sequentially as 'name/image/0', 'name/image/1', etc.
name: A name for the generated node. Will also serve as a series name in TensorBoard.
tensor: A 4-D
[batch_size, height, width, channels]where
channelsis 1, 3, or 4.
max_outputs: Max number of batch elements to generate images for.
collections: Optional list of ops.GraphKeys. The collections to add the summary to. Defaults to [_ops.GraphKeys.SUMMARIES]
Tensor of type
string. The serialized