Python PIL | Image.transpose() 方法
PIL 是Python Imaging Library,它为Python解释器提供了图像编辑功能。 Image 模块提供了一个同名的类,用于表示 PIL 图像。该模块还提供了许多工厂函数,包括从文件加载图像和创建新图像的函数。
Image.transpose()转置图像(翻转或旋转 90 度步长)
Syntax: Transpose image (flip or rotate in 90 degree steps)
Parameters:
method – One of PIL.Image.FLIP_LEFT_RIGHT, PIL.Image.FLIP_TOP_BOTTOM, PIL.Image.ROTATE_90, PIL.Image.ROTATE_180, PIL.Image.ROTATE_270 or PIL.Image.TRANSPOSE.
Returns type: An Image object.
使用的图像:
Python3
# Importing Image class from PIL module
from PIL import Image
# Opens a image in RGB mode
im = Image.open(r"C:\Users\System-Pc\Desktop\new.jpg")
# Size of the image in pixels (size of original image)
# (This is not mandatory)
width, height = im.size
# Setting the points for cropped image
left = 6
top = height / 4
right = 174
bottom = 3 * height / 4
# Cropped image of above dimension
# (It will not change original image)
im1 = im.crop((left, top, right, bottom))
newsize = (200, 200)
im1 = im1.transpose(Image.FLIP_LEFT_RIGHT)
# Shows the image in image viewer
im1.show()
Python3
# Importing Image class from PIL module
from PIL import Image
# Opens a image in RGB mode
im = Image.open(r"C:\Users\System-Pc\Desktop\flower1.jpg")
# Size of the image in pixels (size of original image)
# (This is not mandatory)
width, height = im.size
# Setting the points for cropped image
left = 3
top = height / 2
right = 164
bottom = 3 * height / 2
# Cropped image of above dimension
# (It will not change original image)
im1 = im.crop((left, top, right, bottom))
newsize = (1800, 1800)
im1 = im1.transpose(Image.FLIP_TOP_BOTTOM)
# Shows the image in image viewer
im1.show()
输出:
另一个例子:这里的transform参数被改变了。
使用的图像
Python3
# Importing Image class from PIL module
from PIL import Image
# Opens a image in RGB mode
im = Image.open(r"C:\Users\System-Pc\Desktop\flower1.jpg")
# Size of the image in pixels (size of original image)
# (This is not mandatory)
width, height = im.size
# Setting the points for cropped image
left = 3
top = height / 2
right = 164
bottom = 3 * height / 2
# Cropped image of above dimension
# (It will not change original image)
im1 = im.crop((left, top, right, bottom))
newsize = (1800, 1800)
im1 = im1.transpose(Image.FLIP_TOP_BOTTOM)
# Shows the image in image viewer
im1.show()
输出: