ipfml.processing.movement

All movements that can be applied on image such as rotations, fusions, flips

Functions

fusion_images(images[, pil])	Fusion array of images into single image
rotate_image(image[, angle, pil])	Rotate image using specific angle

ipfml.processing.movement.fusion_images(images, pil=True)

Fusion array of images into single image

Parameters:

• images – array of images (PIL Image or Numpy array)
• pil – block type returned as PIL Image (default True)

Returns:

merged image from array of images

Raises:

• ValueError – if images is not an array or is empty
• NumpyShapeComparisonException – if images array contains images with different shapes

Example:

>>> import numpy as np
>>> from ipfml.processing import movement
>>> image_values_1 = np.random.randint(255, size=(800, 800, 3))
>>> image_values_2 = np.random.randint(255, size=(800, 800, 3))
>>> merged_image = movement.fusion_images([image_values_1, image_values_2], pil=False)
>>> merged_image.shape
(800, 800, 3)

ipfml.processing.movement.rotate_image(image, angle=90, pil=True)

Rotate image using specific angle

Parameters:

• image – PIL Image or Numpy array
• angle – Angle value of the rotation
• pil – block type returned as PIL Image (default True)

Returns:

Image with rotation applied

Example:

>>> from PIL import Image
>>> import numpy as np
>>> from ipfml.processing import movement
>>> image_values = Image.open('./images/test_img.png')
>>> rotated_image = movement.rotate_image(image_values, 90, pil=False)
>>> rotated_image.shape
(200, 200, 3)