https://www.makeartwithpython.com/blog/visualizing-sort-algorithms-in-python/
的代码>from imageio import imsave
import numpy as np
newImage = np.random.randint(0, 255, (300, 300, 3))
in_hsv_h = color.convert_colorspace(newImage, 'RGB', 'HSV')
in_hsv_s = in_hsv_h.copy()
in_hsv_v = in_hsv_h.copy()
for i in range(newImage.shape[0]):
in_hsv_h[i,:,0] = np.sort(in_hsv_h[i,:,0])
in_hsv_s[i,:,1] = np.sort(in_hsv_s[i,:,1])
in_hsv_v[i,:,2] = np.sort(in_hsv_v[i,:,2])
imsave('testing-sorted-hue.png', color.convert_colorspace(in_hsv_h, 'HSV', 'RGB'))
imsave('testing-sorted-saturation.png', color.convert_colorspace(in_hsv_s, 'HSV', 'RGB'))
Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.
仍然非常缺乏经验,有没有解决此问题的快速方法?
来自https://www.makeartwithpython.com/blog/visualizing-sort-algorithms-in-python/的代码from imageio import imsave import numpy as np newImage = np.random.randint(0,255,(300,300 ,3))in_hsv_h = ...
color.convert_colorspace(in_hsv_h, 'HSV', 'RGB')
的类型为float64
,imsave
将元素转换为uint8
。 PNG图像的像素,每个分量存储为一个字节(红色表示一个字节,绿色表示一个字节,蓝色表示一个字节)。每个分量都是[0,255]范围内的整数值(类型uint8
)。