tf.image.convert_image_dtype()
  • References/Big Data/TensorFlow/TensorFlow Python/Images

tf.image.convert_image_dtype(image, dtype, saturate=False, name=None) Convert image to dtype, scaling

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tf.image.hsv_to_rgb()
  • References/Big Data/TensorFlow/TensorFlow Python/Images

tf.image.hsv_to_rgb(images, name=None) Convert one or more images from HSV to RGB. Outputs a tensor

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tf.image.resize_nearest_neighbor()
  • References/Big Data/TensorFlow/TensorFlow Python/Images

tf.image.resize_nearest_neighbor(images, size, align_corners=None, name=None) Resize images to size

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tf.image.resize_bilinear()
  • References/Big Data/TensorFlow/TensorFlow Python/Images

tf.image.resize_bilinear(images, size, align_corners=None, name=None) Resize images to size using bilinear

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tf.image.adjust_hue()
  • References/Big Data/TensorFlow/TensorFlow Python/Images

tf.image.adjust_hue(image, delta, name=None) Adjust hue of an RGB image. This is a convenience

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tf.image.grayscale_to_rgb()
  • References/Big Data/TensorFlow/TensorFlow Python/Images

tf.image.grayscale_to_rgb(images, name=None) Converts one or more images from Grayscale to RGB. Outputs

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tf.image.per_image_whitening()
  • References/Big Data/TensorFlow/TensorFlow Python/Images

tf.image.per_image_whitening(image) Linearly scales image to have zero mean and unit norm. This

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tf.image.resize_area()
  • References/Big Data/TensorFlow/TensorFlow Python/Images

tf.image.resize_area(images, size, align_corners=None, name=None) Resize images to size using area interpolation

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tf.image.random_contrast()
  • References/Big Data/TensorFlow/TensorFlow Python/Images

tf.image.random_contrast(image, lower, upper, seed=None) Adjust the contrast of an image by a random factor.

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tf.image.rot90()
  • References/Big Data/TensorFlow/TensorFlow Python/Images

tf.image.rot90(image, k=1, name=None) Rotate an image counter-clockwise by 90 degrees. Args:

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