Image Processing and Computer Vision Toolkits

imread

Read image file and return as numpy ndarray, using PILLOW as backend. Support for EXIF rotation specification.

imread(f, flatten=False, dtype='float32')
  • f: str or file object. The file name or file object to be read from.
  • flatten: bool. If True, flattens the color channels into a single gray-scale channel.
  • dtype: returned data type

imsave

Save an image ndarray into file, using PILLOW as backend 

imsave(f, I, **params)
  • f: str or file object. The file name or file object to be written into.
  • I: Image ndarray. Note for jpeg format, I should be of uint8 type.
  • params: other parameters passed directly to PILLOW's image.save()

imresize

Resize image, using scipy as backend 

imresize(I, size, interp='bilinear', mode=None)
  • I: Image ndarray
  • size: target size
  • interp: Interpolation to use for resizing, {'nearest', 'lanczos', 'bilinear', 'bicubic' or 'cubic'}.
  • mode: . The PIL image mode ('P', 'L', etc.) to convert I before resizing, optional.

imrotate

Rotate image, using opencv as backend 

imrotate(I, angle, padvalue=0.0, interpolation='linear', target_size=None, border_mode='reflect_101')
  • I: Image ndarray
  • angle: in degree, positive for counter-clockwise
  • interpolation: image interpolation method, {'linear'|'nearest'|'cubic'|'LANCZOS4'|'area'}, refer to opencv:INTER_* constants for details
  • border_mode: image boundary handling method, {'reflect_101'|'reflect'|'wrap'|'constant'|'replicate'}, refer to opencv:BORDER_* constants for details
  • padvalue: used when border_mode = 'constant'
  • target_size: target size of output image, optional.