Table of Contents
Contents

fiftyone.utils.image

Image utilities.

Copyright 2017-2021, Voxel51, Inc.
voxel51.com

Functions

reencode_image(input_path, output_path)

Re-encodes the image to the format specified by the given output path.

reencode_images(sample_collection[, ext, …])

Re-encodes the images in the sample collection to the given format.

transform_image(input_path, output_path[, …])

Transforms the image according to the provided parameters.

transform_images(sample_collection[, size, …])

Transforms the images in the sample collection according to the provided parameters.
fiftyone.utils.image.reencode_images(sample_collection, ext='.png', force_reencode=True, delete_originals=False, num_workers=None)

Re-encodes the images in the sample collection to the given format.

The filepath of the samples are updated to point to the re-encoded images.

Parameters

  • sample_collection – a fiftyone.core.collections.SampleCollection

  • ext (".png") – the image format to use (e.g., “.png” or “.jpg”)

  • force_reencode (True) – whether to re-encode images whose extension already matches ext

  • delete_originals (False) – whether to delete the original images after re-encoding

  • num_workers (None) – the number of worker processes to use. By default, multiprocessing.cpu_count() is used

fiftyone.utils.image.transform_images(sample_collection, size=None, min_size=None, max_size=None, ext=None, force_reencode=False, delete_originals=False, num_workers=None)

Transforms the images in the sample collection according to the provided parameters.

The filepath of the samples are updated to point to the transformed images.

Parameters

  • sample_collection – a fiftyone.core.collections.SampleCollection

  • size (None) – an optional (width, height) for each image. One dimension can be -1, in which case the aspect ratio is preserved

  • min_size (None) – an optional minimum (width, height) for each image. A dimension can be -1 if no constraint should be applied. The images are resized (aspect-preserving) if necessary to meet this constraint

  • max_size (None) – an optional maximum (width, height) for each image. A dimension can be -1 if no constraint should be applied. The images are resized (aspect-preserving) if necessary to meet this constraint

  • ext (None) – an optional image format to re-encode the source images into (e.g., “.png” or “.jpg”)

  • force_reencode (False) – whether to re-encode images whose parameters already match the specified values

  • delete_originals (False) – whether to delete the original images if any transformation was applied

  • num_workers (None) – the number of worker processes to use. By default, multiprocessing.cpu_count() is used

fiftyone.utils.image.reencode_image(input_path, output_path)

Re-encodes the image to the format specified by the given output path.

Parameters

  • input_path – the path to the input image

  • output_path – the path to write the output image

fiftyone.utils.image.transform_image(input_path, output_path, size=None, min_size=None, max_size=None)

Transforms the image according to the provided parameters.

Parameters

  • input_path – the path to the input image

  • output_path – the path to write the output image

  • size (None) – an optional (width, height) for the image. One dimension can be -1, in which case the aspect ratio is preserved

  • min_size (None) – an optional minimum (width, height) for the image. A dimension can be -1 if no constraint should be applied. The image is resized (aspect-preserving) if necessary to meet this constraint

  • max_size (None) – an optional maximum (width, height) for the image. A dimension can be -1 if no constraint should be applied. The image is resized (aspect-preserving) if necessary to meet this constraint