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# (C) Copyright 2005-2023 Enthought, Inc., Austin, TX
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD
# license included in LICENSE.txt and may be redistributed only under
# the conditions described in the aforementioned license. The license
# is also available online at http://www.enthought.com/licenses/BSD.txt
#
# Thanks for using Enthought open source!
""" Helper functions for working with images
This module provides helper functions for converting between numpy arrays
and Qt wx.Images, as well as between the various image types in a standardized
way.
"""
from enum import IntEnum
import wx
class ScaleMode(IntEnum):
fast = wx.IMAGE_QUALITY_NORMAL
smooth = wx.IMAGE_QUALITY_HIGH
class AspectRatio(IntEnum):
ignore = 0
keep_constrain = 1
keep_expand = 2
def image_to_bitmap(image):
""" Convert a wx.Image to a wx.Bitmap.
Parameters
----------
image : wx.Image
The wx.Image to convert.
Return
------
bitmap : wx.Bitmap
The corresponding wx.Bitmap.
"""
return image.ConvertToBitmap()
def bitmap_to_image(bitmap):
""" Convert a wx.Bitmap to a wx.Image.
Parameters
----------
bitmap : wx.Bitmap
The wx.Bitmap to convert.
Return
------
image : wx.Image
The corresponding wx.Image.
"""
return bitmap.ConvertToImage()
def bitmap_to_icon(bitmap):
""" Convert a wx.Bitmap to a wx.Icon.
Parameters
----------
bitmap : wx.Bitmap
The wx.Bitmap to convert.
Return
------
icon : wx.Icon
The corresponding wx.Icon.
"""
return wx.Icon(bitmap)
def resize_image(image, size, aspect_ratio=AspectRatio.ignore,
mode=ScaleMode.fast):
""" Resize a toolkit image to the given size. """
image_size = image.GetSize()
width, height = _get_size_for_aspect_ratio(image_size, size, aspect_ratio)
return image.Scale(width, height, mode)
def resize_bitmap(bitmap, size, aspect_ratio=AspectRatio.ignore,
mode=ScaleMode.fast):
""" Resize a toolkit bitmap to the given size. """
image = bitmap_to_image(bitmap)
image = resize_image(image, size, aspect_ratio, mode)
return image_to_bitmap(image)
def image_to_array(image):
""" Convert a wx.Image to a numpy array.
This copies the data returned from wx.
Parameters
----------
image : wx.Image
The wx.Image that we want to extract the values from. The format must
be either RGB32 or ARGB32.
Return
------
array : ndarray
An N x M x 4 array of unsigned 8-bit ints as RGBA values.
"""
import numpy as np
width, height = image.GetSize()
rgb_data = np.array(image.GetData(), dtype='uint8').reshape(width, height, 3)
if image.HasAlpha():
alpha = np.array(image.GetAlpha(), dtype='uint8').reshape(width, height)
else:
alpha = np.full((width, height), 0xff, dtype='uint8')
array = np.empty(shape=(width, height, 4), dtype='uint8')
array[:, :, :3] = rgb_data
array[:, :, 3] = alpha
return array
def array_to_image(array):
""" Convert a numpy array to a wx.Image.
This copies the data before passing it to wx.
Parameters
----------
array : ndarray
An N x M x {3, 4} array of unsigned 8-bit ints. The image
format is assumed to be RGB or RGBA, based on the shape.
Return
------
image : wx.Image
The wx.Image created from the data.
"""
if array.ndim != 3:
raise ValueError("Array must be either RGB or RGBA values.")
height, width, channels = array.shape
if channels == 3:
image = wx.Image(width, height, array.tobytes())
elif channels == 4:
image = wx.Image(
width,
height,
array[..., :3].tobytes(),
array[..., 3].tobytes(),
)
else:
raise ValueError("Array must be either RGB or RGBA values.")
return image
def _get_size_for_aspect_ratio(image_size, size, aspect_ratio):
width, height = size
image_width, image_height = image_size
if aspect_ratio != AspectRatio.ignore:
if aspect_ratio == AspectRatio.keep_constrain:
scale = min(width/image_width, height/image_height)
else:
scale = max(width/image_width, height/image_height)
width = int(round(scale * image_width))
height = int(round(scale * image_height))
return (width, height)
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