horizontal flip
from PIL import Image
def flip_horizontal(image_path, output_path):
with Image.open(image_path) as image:
flipped_image = image.transpose(method=Image.FLIP_LEFT_RIGHT)
flipped_image.save(output_path)
vertical flip
from PIL import Image
def flip_vertical(image_path, output_path):
with Image.open(image_path) as image:
flipped_image = image.transpose(method=Image.FLIP_TOP_BOTTOM)
flipped_image.save(output_path)
In the above code, flip_horizontaland flip_verticalare the functions of horizontal flip and vertical flip respectively. image_pathis the path of the input image and output_paththe path of the output image.
In the usage example, first call to flip_horizontalflip the image horizontally, and then call to flip_verticalflip the image vertically. One or both of these methods can be selected according to actual needs.
Horizontal to vertical
from PIL import Image
def rotate_image(image_path, output_path):
with Image.open(image_path) as image:
if image.width > image.height:
# 横图，需要旋转
rotated_image = image.transpose(method=Image.ROTATE_270)
rotated_image.save(output_path)
else:
# 竖图，不需要操作
image.save(output_path)
# 示例用法
image_path = "path/to/image"
output_path = "path/to/output"
rotate_image(image_path, output_path)
Vertical to horizontal
from PIL import Image
def rotate_image(image_path, output_path):
with Image.open(image_path) as image:
if image.width < image.height:
# 竖图，需要旋转
rotated_image = image.transpose(method=Image.ROTATE_90)
rotated_image.save(output_path)
else:
# 横图，不需要操作
image.save(output_path)
# 示例用法
image_path = "path/to/image"
output_path = "path/to/output"
rotate_image(image_path, output_path)
The function and judgment logic in the above code are similar to the example of converting a horizontal image to a vertical image, except that the judgment condition is changed to the width of the image being smaller than the height. If it is a vertical image, perform a rotation operation to convert it into a horizontal image; if it is a horizontal image, it will be directly saved to the output path. The angle of rotation can also be modified to Image.ROTATE_270(rotate 90 degrees counterclockwise) or other desired angles.