images is a tensor of at least 3 dimensions. The last 3 dimensions are
interpreted as [height, width, channels]. The other dimensions only
represent a collection of images, such as [batch, height, width, channels].
Contrast is adjusted independently for each channel of each image.
For each channel, the Op first computes the mean of the image pixels in the
channel and then adjusts each component of each pixel to
(x - mean) * contrast_factor + mean.
Args
images
A Tensor. Must be one of the following types: half, float32.
Images to adjust. At least 3-D.
contrast_factor
A Tensor of type float32.
A float multiplier for adjusting contrast.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]