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Adjust jpeg encoding quality of an image.
tf.image.adjust_jpeg_quality(
image, jpeg_quality, name=None
)
This is a convenience method that converts an image to uint8 representation,
encodes it to jpeg with jpeg_quality, decodes it, and then converts back
to the original data type.
jpeg_quality must be in the interval [0, 100].
image: 3D image. Size of the last dimension must be None, 1 or 3.jpeg_quality: Python int or Tensor of type int32. jpeg encoding quality.name: A name for this operation (optional).Adjusted image, same shape and DType as image.
>> import tensorflow as tf
>> x = tf.random.normal(shape=(256, 256, 3))
>> tf.image.adjust_jpeg_quality(x, 75)
InvalidArgumentError: quality must be in [0,100]InvalidArgumentError: image must have 1 or 3 channels