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Outputs a Summary
protocol buffer with images. (deprecated)
tf.contrib.deprecated.image_summary(
tag, tensor, max_images=3, collections=None, name=None
)
For an explanation of why this op was deprecated, and information on how to migrate, look 'here'
The summary has up to max_images
summary values containing images. The
images are built from tensor
which must be 4-D with shape [batch_size,
height, width, channels]
and where channels
can be:
- 1:
tensor
is interpreted as Grayscale. - 3:
tensor
is interpreted as RGB. - 4:
tensor
is 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
[0, 255]
. uint8
values are unchanged. The op uses two different
normalization algorithms:
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.
The tag
argument is a scalar Tensor
of type string
. It is used to
build the tag
of the summary values:
- If
max_images
is 1, the summary value tag is 'tag/image'. - If
max_images
is greater than 1, the summary value tags are generated sequentially as 'tag/image/0', 'tag/image/1', etc.
Args | |
---|---|
tag
|
A scalar Tensor of type string . Used to build the tag of the
summary values.
|
tensor
|
A 4-D uint8 or float32 Tensor of shape [batch_size, height,
width, channels] where channels is 1, 3, or 4.
|
max_images
|
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] |
name
|
A name for the operation (optional). |
Returns | |
---|---|
A scalar Tensor of type string . The serialized Summary protocol
buffer.
|