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/TensorFlow 1.15

Module: tf.compat.v1.image

Image processing and decoding ops.

See the Images guide.

Classes

class ResizeMethod

Functions

adjust_brightness(...): Adjust the brightness of RGB or Grayscale images.

adjust_contrast(...): Adjust contrast of RGB or grayscale images.

adjust_gamma(...): Performs Gamma Correction on the input image.

adjust_hue(...): Adjust hue of RGB images.

adjust_jpeg_quality(...): Adjust jpeg encoding quality of an RGB image.

adjust_saturation(...): Adjust saturation of RGB images.

central_crop(...): Crop the central region of the image(s).

combined_non_max_suppression(...): Greedily selects a subset of bounding boxes in descending order of score.

convert_image_dtype(...): Convert image to dtype, scaling its values if needed.

crop_and_resize(...): Extracts crops from the input image tensor and resizes them.

crop_to_bounding_box(...): Crops an image to a specified bounding box.

decode_and_crop_jpeg(...): Decode and Crop a JPEG-encoded image to a uint8 tensor.

decode_bmp(...): Decode the first frame of a BMP-encoded image to a uint8 tensor.

decode_gif(...): Decode the frame(s) of a GIF-encoded image to a uint8 tensor.

decode_image(...): Function for decode_bmp, decode_gif, decode_jpeg, and decode_png.

decode_jpeg(...): Decode a JPEG-encoded image to a uint8 tensor.

decode_png(...): Decode a PNG-encoded image to a uint8 or uint16 tensor.

draw_bounding_boxes(...): Draw bounding boxes on a batch of images.

encode_jpeg(...): JPEG-encode an image.

encode_png(...): PNG-encode an image.

extract_glimpse(...): Extracts a glimpse from the input tensor.

extract_image_patches(...): Extract patches from images and put them in the "depth" output dimension.

extract_jpeg_shape(...): Extract the shape information of a JPEG-encoded image.

extract_patches(...): Extract patches from images.

flip_left_right(...): Flip an image horizontally (left to right).

flip_up_down(...): Flip an image vertically (upside down).

grayscale_to_rgb(...): Converts one or more images from Grayscale to RGB.

hsv_to_rgb(...): Convert one or more images from HSV to RGB.

image_gradients(...): Returns image gradients (dy, dx) for each color channel.

is_jpeg(...): Convenience function to check if the 'contents' encodes a JPEG image.

non_max_suppression(...): Greedily selects a subset of bounding boxes in descending order of score.

non_max_suppression_overlaps(...): Greedily selects a subset of bounding boxes in descending order of score.

non_max_suppression_padded(...): Greedily selects a subset of bounding boxes in descending order of score.

non_max_suppression_with_scores(...): Greedily selects a subset of bounding boxes in descending order of score.

pad_to_bounding_box(...): Pad image with zeros to the specified height and width.

per_image_standardization(...): Linearly scales each image in image to have mean 0 and variance 1.

psnr(...): Returns the Peak Signal-to-Noise Ratio between a and b.

random_brightness(...): Adjust the brightness of images by a random factor.

random_contrast(...): Adjust the contrast of an image or images by a random factor.

random_crop(...): Randomly crops a tensor to a given size.

random_flip_left_right(...): Randomly flip an image horizontally (left to right).

random_flip_up_down(...): Randomly flips an image vertically (upside down).

random_hue(...): Adjust the hue of RGB images by a random factor.

random_jpeg_quality(...): Randomly changes jpeg encoding quality for inducing jpeg noise.

random_saturation(...): Adjust the saturation of RGB images by a random factor.

resize(...): Resize images to size using the specified method.

resize_area(...): Resize images to size using area interpolation.

resize_bicubic(...)

resize_bilinear(...)

resize_image_with_crop_or_pad(...): Crops and/or pads an image to a target width and height.

resize_image_with_pad(...): Resizes and pads an image to a target width and height.

resize_images(...): Resize images to size using the specified method.

resize_nearest_neighbor(...)

resize_with_crop_or_pad(...): Crops and/or pads an image to a target width and height.

rgb_to_grayscale(...): Converts one or more images from RGB to Grayscale.

rgb_to_hsv(...): Converts one or more images from RGB to HSV.

rgb_to_yiq(...): Converts one or more images from RGB to YIQ.

rgb_to_yuv(...): Converts one or more images from RGB to YUV.

rot90(...): Rotate image(s) counter-clockwise by 90 degrees.

sample_distorted_bounding_box(...): Generate a single randomly distorted bounding box for an image. (deprecated)

sobel_edges(...): Returns a tensor holding Sobel edge maps.

ssim(...): Computes SSIM index between img1 and img2.

ssim_multiscale(...): Computes the MS-SSIM between img1 and img2.

total_variation(...): Calculate and return the total variation for one or more images.

transpose(...): Transpose image(s) by swapping the height and width dimension.

transpose_image(...): Transpose image(s) by swapping the height and width dimension.

yiq_to_rgb(...): Converts one or more images from YIQ to RGB.

yuv_to_rgb(...): Converts one or more images from YUV to RGB.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/compat/v1/image