{"id":1185397,"date":"2025-01-15T19:39:58","date_gmt":"2025-01-15T11:39:58","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1185397.html"},"modified":"2025-01-15T19:40:13","modified_gmt":"2025-01-15T11:40:13","slug":"python%e7%9a%84pil%e5%ba%93%e5%a6%82%e4%bd%95%e4%bd%bf%e7%94%a8","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1185397.html","title":{"rendered":"python\u7684pil\u5e93\u5982\u4f55\u4f7f\u7528"},"content":{"rendered":"

\"python\u7684pil\u5e93\u5982\u4f55\u4f7f\u7528\"<\/p>\n

Python\u7684PIL\u5e93\u53ef\u4ee5\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u3001\u56fe\u50cf\u8f6c\u6362\u548c\u56fe\u50cf\u589e\u5f3a\u7b49\u64cd\u4f5c\u3002\u9996\u5148\u5bfc\u5165PIL\u5e93\u4e2d\u7684Image\u6a21\u5757\uff0c\u7136\u540e\u901a\u8fc7Image.open()\u51fd\u6570\u6253\u5f00\u56fe\u50cf\u6587\u4ef6\u3001\u4f7f\u7528\u5404\u79cd\u65b9\u6cd5\u8fdb\u884c\u56fe\u50cf\u5904\u7406\u3001\u6700\u540e\u901a\u8fc7Image.save()\u51fd\u6570\u4fdd\u5b58\u5904\u7406\u540e\u7684\u56fe\u50cf\u3002<\/strong><\/p>\n<\/p>\n

PIL\u5e93\u662fPython Imaging Library\u7684\u7b80\u79f0\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u4e9b\u57fa\u7840\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u3002PIL\u5e93\u5df2\u7ecf\u88abPillow\u5e93\u6240\u53d6\u4ee3\uff0cPillow\u5e93\u662fPIL\u5e93\u7684\u4e00\u4e2a\u53cb\u597d\u7684\u5206\u652f\u3002\u4ee5\u4e0b\u662fPillow\u5e93\u7684\u4e00\u4e9b\u57fa\u672c\u4f7f\u7528\u65b9\u6cd5\u548c\u793a\u4f8b\uff1a<\/p>\n<\/p>\n

\u4e00\u3001\u5b89\u88c5Pillow\u5e93<\/h2>\n<\/p>\n

\u5728\u5f00\u59cb\u4f7f\u7528Pillow\u5e93\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5\u5b83\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install pillow<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u5bfc\u5165Pillow\u5e93<\/h2>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165Pillow\u5e93\u7684Image\u6a21\u5757\uff1a<\/p>\n<\/p>\n
from PIL import Image<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u6253\u5f00\u56fe\u50cf\u6587\u4ef6<\/h2>\n<\/p>\n
\u8981\u6253\u5f00\u4e00\u4e2a\u56fe\u50cf\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528Image.open()\u51fd\u6570\u3002\u8fd9\u4e2a\u51fd\u6570\u8fd4\u56de\u4e00\u4e2aImage\u5bf9\u8c61\uff0c\u53ef\u4ee5\u7528\u4e8e\u540e\u7eed\u7684\u56fe\u50cf\u5904\u7406\u64cd\u4f5c\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
image = Image.open('example.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u663e\u793a\u56fe\u50cf<\/h2>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528Image\u5bf9\u8c61\u7684show()\u65b9\u6cd5\u5728\u9ed8\u8ba4\u7684\u56fe\u50cf\u67e5\u770b\u5668\u4e2d\u663e\u793a\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
image.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u4fdd\u5b58\u56fe\u50cf<\/h2>\n<\/p>\n
\u5904\u7406\u5b8c\u56fe\u50cf\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528Image\u5bf9\u8c61\u7684save()\u65b9\u6cd5\u5c06\u56fe\u50cf\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
image.save('output.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u56fe\u50cf\u8f6c\u6362<\/h2>\n<\/p>\n
Pillow\u5e93\u63d0\u4f9b\u4e86\u591a\u79cd\u56fe\u50cf\u8f6c\u6362\u65b9\u6cd5\uff0c\u5305\u62ec\u56fe\u50cf\u683c\u5f0f\u8f6c\u6362\u3001\u989c\u8272\u6a21\u5f0f\u8f6c\u6362\u3001\u56fe\u50cf\u5927\u5c0f\u8c03\u6574\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u56fe\u50cf\u8f6c\u6362\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
1\u3001\u56fe\u50cf\u683c\u5f0f\u8f6c\u6362<\/h3>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528save()\u65b9\u6cd5\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3a\u4e0d\u540c\u7684\u683c\u5f0f\uff0c\u4f8b\u5982\u5c06JPEG\u56fe\u50cf\u8f6c\u6362\u4e3aPNG\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
image.save('output.png')<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u989c\u8272\u6a21\u5f0f\u8f6c\u6362<\/h3>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528convert()\u65b9\u6cd5\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3a\u4e0d\u540c\u7684\u989c\u8272\u6a21\u5f0f\uff0c\u4f8b\u5982\u5c06\u5f69\u8272\u56fe\u50cf\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
gray_image = image.convert('L')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u56fe\u50cf\u5927\u5c0f\u8c03\u6574<\/h3>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528resize()\u65b9\u6cd5\u8c03\u6574\u56fe\u50cf\u7684\u5927\u5c0f\uff0c\u4f8b\u5982\u5c06\u56fe\u50cf\u7f29\u653e\u5230\u6307\u5b9a\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\uff1a<\/p>\n<\/p>\n
resized_image = image.resize((800, 600))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u56fe\u50cf\u5904\u7406<\/h2>\n<\/p>\n
Pillow\u5e93\u63d0\u4f9b\u4e86\u591a\u79cd\u56fe\u50cf\u5904\u7406\u65b9\u6cd5\uff0c\u5305\u62ec\u56fe\u50cf\u88c1\u526a\u3001\u65cb\u8f6c\u3001\u7ffb\u8f6c\u3001\u6ee4\u955c\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u56fe\u50cf\u5904\u7406\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
1\u3001\u56fe\u50cf\u88c1\u526a<\/h3>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528crop()\u65b9\u6cd5\u88c1\u526a\u56fe\u50cf\uff0c\u4f8b\u5982\u88c1\u526a\u4e00\u4e2a\u533a\u57df\uff1a<\/p>\n<\/p>\n
cropped_image = image.crop((100, 100, 400, 400))<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u56fe\u50cf\u65cb\u8f6c<\/h3>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528rotate()\u65b9\u6cd5\u65cb\u8f6c\u56fe\u50cf\uff0c\u4f8b\u5982\u5c06\u56fe\u50cf\u65cb\u8f6c90\u5ea6\uff1a<\/p>\n<\/p>\n
rotated_image = image.rotate(90)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u56fe\u50cf\u7ffb\u8f6c<\/h3>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528transpose()\u65b9\u6cd5\u7ffb\u8f6c\u56fe\u50cf\uff0c\u4f8b\u5982\u5c06\u56fe\u50cf\u6c34\u5e73\u7ffb\u8f6c\uff1a<\/p>\n<\/p>\n
flipped_image = image.transpose(Image.FLIP_LEFT_RIGHT)<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u5e94\u7528\u6ee4\u955c<\/h3>\n<\/p>\n
Pillow\u5e93\u63d0\u4f9b\u4e86\u4e00\u4e9b\u5e38\u7528\u7684\u56fe\u50cf\u6ee4\u955c\uff0c\u4f8b\u5982\u6a21\u7cca\u3001\u9510\u5316\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528filter()\u65b9\u6cd5\u5e94\u7528\u8fd9\u4e9b\u6ee4\u955c\u3002\u4f8b\u5982\uff0c\u5e94\u7528\u6a21\u7cca\u6ee4\u955c\uff1a<\/p>\n<\/p>\n
from PIL import ImageFilter<\/p>\n
blurred_image = image.filter(ImageFilter.BLUR)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516b\u3001\u56fe\u50cf\u589e\u5f3a<\/h2>\n<\/p>\n
Pillow\u5e93\u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e9b\u56fe\u50cf\u589e\u5f3a\u529f\u80fd\uff0c\u4f8b\u5982\u8c03\u6574\u4eae\u5ea6\u3001\u5bf9\u6bd4\u5ea6\u3001\u989c\u8272\u5e73\u8861\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528ImageEnhance\u6a21\u5757\u6765\u5b9e\u73b0\u8fd9\u4e9b\u529f\u80fd\u3002\u4f8b\u5982\uff0c\u8c03\u6574\u56fe\u50cf\u7684\u4eae\u5ea6\uff1a<\/p>\n<\/p>\n
from PIL import ImageEnhance<\/p>\n
enhancer = ImageEnhance.Brightness(image)<\/p>\n
brightened_image = enhancer.enhance(1.5)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e5d\u3001\u5904\u7406\u591a\u5e27\u56fe\u50cf<\/h2>\n<\/p>\n
\u4e00\u4e9b\u56fe\u50cf\u683c\u5f0f\uff08\u5982GIF\uff09\u53ef\u80fd\u5305\u542b\u591a\u5e27\u56fe\u50cf\u3002\u53ef\u4ee5\u4f7f\u7528ImageSequence\u6a21\u5757\u6765\u5904\u7406\u8fd9\u4e9b\u591a\u5e27\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u8bfb\u53d6\u5e76\u663e\u793aGIF\u56fe\u50cf\u7684\u6bcf\u4e00\u5e27\uff1a<\/p>\n<\/p>\n
from PIL import ImageSequence<\/p>\n
gif_image = Image.open('example.gif')<\/p>\n
for frame in ImageSequence.Iterator(gif_image):<\/p>\n
    frame.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u3001\u56fe\u50cf\u6279\u5904\u7406<\/h2>\n<\/p>\n
\u53ef\u4ee5\u7f16\u5199\u811a\u672c\u6765\u6279\u91cf\u5904\u7406\u591a\u4e2a\u56fe\u50cf\u6587\u4ef6\u3002\u4f8b\u5982\uff0c\u6279\u91cf\u8c03\u6574\u591a\u4e2a\u56fe\u50cf\u7684\u5927\u5c0f\uff1a<\/p>\n<\/p>\n
import os<\/p>\n
from PIL import Image<\/p>\n
input_dir = 'input_images'<\/p>\n
output_dir = 'output_images'<\/p>\n
for filename in os.listdir(input_dir):<\/p>\n
    if filename.endswith('.jpg'):<\/p>\n
        image = Image.open(os.path.join(input_dir, filename))<\/p>\n
        resized_image = image.resize((800, 600))<\/p>\n
        resized_image.save(os.path.join(output_dir, filename))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u4e00\u3001\u56fe\u50cf\u5408\u5e76<\/h2>\n<\/p>\n
\u53ef\u4ee5\u5c06\u591a\u4e2a\u56fe\u50cf\u5408\u5e76\u6210\u4e00\u4e2a\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u6c34\u5e73\u5408\u5e76\u4e24\u4e2a\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
image1 = Image.open('image1.jpg')<\/p>\n
image2 = Image.open('image2.jpg')<\/p>\n
total_width = image1.width + image2.width<\/p>\n
max_height = max(image1.height, image2.height)<\/p>\n
new_image = Image.new('RGB', (total_width, max_height))<\/p>\n
new_image.paste(image1, (0, 0))<\/p>\n
new_image.paste(image2, (image1.width, 0))<\/p>\n
new_image.save('merged_image.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u4e8c\u3001\u5904\u7406\u900f\u660e\u5ea6<\/h2>\n<\/p>\n
\u53ef\u4ee5\u5904\u7406\u5177\u6709\u900f\u660e\u5ea6\u7684\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u8c03\u6574PNG\u56fe\u50cf\u7684\u900f\u660e\u5ea6\uff1a<\/p>\n<\/p>\n
image = Image.open('example.png')<\/p>\n
alpha = image.split()[3]<\/p>\n
\u8c03\u6574\u900f\u660e\u5ea6<\/strong><\/h2>\n
alpha = alpha.point(lambda p: p * 0.5)<\/p>\n
image.putalpha(alpha)<\/p>\n
image.save('output.png')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u4e09\u3001\u7ed8\u5236\u56fe\u50cf<\/h2>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528Pillow\u5e93\u4e2d\u7684ImageDraw\u6a21\u5757\u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u56fe\u5f62\u548c\u6587\u5b57\u3002\u4f8b\u5982\uff0c\u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u77e9\u5f62\u548c\u6587\u5b57\uff1a<\/p>\n<\/p>\n
from PIL import ImageDraw, ImageFont<\/p>\n
image = Image.open('example.jpg')<\/p>\n
draw = ImageDraw.Draw(image)<\/p>\n
font = ImageFont.truetype('arial.ttf', 40)<\/p>\n
draw.rectangle((50, 50, 200, 200), outline='red', width=5)<\/p>\n
draw.text((60, 60), 'Hello, PIL!', font=font, fill='blue')<\/p>\n
image.save('output.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u56db\u3001\u5904\u7406EXIF\u6570\u636e<\/h2>\n<\/p>\n
\u53ef\u4ee5\u8bfb\u53d6\u548c\u4fee\u6539\u56fe\u50cf\u6587\u4ef6\u4e2d\u7684EXIF\u5143\u6570\u636e\u3002\u4f8b\u5982\uff0c\u8bfb\u53d6\u56fe\u50cf\u7684EXIF\u6570\u636e\uff1a<\/p>\n<\/p>\n
from PIL.ExifTags import TAGS<\/p>\n
image = Image.open('example.jpg')<\/p>\n
exif_data = image._getexif()<\/p>\n
if exif_data:<\/p>\n
    for tag, value in exif_data.items():<\/p>\n
        tag_name = TAGS.get(tag, tag)<\/p>\n
        print(f'{tag_name}: {value}')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u4e94\u3001\u6269\u5c55Pillow\u529f\u80fd<\/h2>\n<\/p>\n
Pillow\u5e93\u8fd8\u5141\u8bb8\u7528\u6237\u7f16\u5199\u81ea\u5b9a\u4e49\u6ee4\u955c\u548c\u6269\u5c55\u529f\u80fd\u3002\u4f8b\u5982\uff0c\u7f16\u5199\u4e00\u4e2a\u81ea\u5b9a\u4e49\u6ee4\u955c\u6765\u5bf9\u56fe\u50cf\u5e94\u7528\u7279\u5b9a\u6548\u679c\uff1a<\/p>\n<\/p>\n
from PIL import ImageFilter<\/p>\n
class CustomFilter(ImageFilter.BuiltinFilter):<\/p>\n
    name = 'CustomFilter'<\/p>\n
    def filter(self, image):<\/p>\n
        # \u81ea\u5b9a\u4e49\u6ee4\u955c\u6548\u679c<\/p>\n
        return image.convert('L')<\/p>\n
image = Image.open('example.jpg')<\/p>\n
filtered_image = image.filter(CustomFilter())<\/p>\n
filtered_image.save('output.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u516d\u3001\u5904\u7406\u5927\u56fe\u50cf<\/h2>\n<\/p>\n
\u5bf9\u4e8e\u975e\u5e38\u5927\u7684\u56fe\u50cf\uff0c\u53ef\u4ee5\u4f7f\u7528Pillow\u5e93\u7684ImageFile\u6a21\u5757\u6765\u9010\u6b65\u8bfb\u53d6\u548c\u5904\u7406\u56fe\u50cf\u6570\u636e\u3002\u4f8b\u5982\uff0c\u9010\u6b65\u8bfb\u53d6\u5927\u56fe\u50cf\u5e76\u8c03\u6574\u5176\u5927\u5c0f\uff1a<\/p>\n<\/p>\n
from PIL import ImageFile<\/p>\n
ImageFile.LOAD_TRUNCATED_IMAGES = True<\/p>\n
image = Image.open('large_image.jpg')<\/p>\n
image.thumbnAI<\/a>l((800, 600), Image.ANTIALIAS)<\/p>\n
image.save('resized_large_image.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u4e03\u3001\u5904\u7406\u56fe\u50cf\u901a\u9053<\/h2>\n<\/p>\n
\u53ef\u4ee5\u5355\u72ec\u5904\u7406\u56fe\u50cf\u7684\u5404\u4e2a\u901a\u9053\u3002\u4f8b\u5982\uff0c\u63d0\u53d6\u56fe\u50cf\u7684\u7ea2\u8272\u901a\u9053\u5e76\u8fdb\u884c\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n
image = Image.open('example.jpg')<\/p>\n
r, g, b = image.split()<\/p>\n
\u5bf9\u7ea2\u8272\u901a\u9053\u8fdb\u884c\u64cd\u4f5c<\/strong><\/h2>\n
r = r.point(lambda p: p * 0.5)<\/p>\n
\u5408\u5e76\u901a\u9053<\/strong><\/h2>\n
new_image = Image.merge('RGB', (r, g, b))<\/p>\n
new_image.save('output.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u516b\u3001\u56fe\u50cf\u6a21\u5f0f\u8f6c\u6362<\/h2>\n<\/p>\n
\u53ef\u4ee5\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3a\u5176\u4ed6\u6a21\u5f0f\uff0c\u4f8b\u5982RGB\u3001RGBA\u3001L\u7b49\u3002\u4f8b\u5982\uff0c\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3aRGBA\u6a21\u5f0f\u5e76\u6dfb\u52a0\u900f\u660e\u5ea6\u901a\u9053\uff1a<\/p>\n<\/p>\n
image = Image.open('example.jpg')<\/p>\n
rgba_image = image.convert('RGBA')<\/p>\n
\u6dfb\u52a0\u900f\u660e\u5ea6<\/strong><\/h2>\n
r, g, b, a = rgba_image.split()<\/p>\n
a = a.point(lambda p: p * 0.5)<\/p>\n
rgba_image.putalpha(a)<\/p>\n
rgba_image.save('output.png')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u4e5d\u3001\u5904\u7406\u56fe\u50cf\u566a\u58f0<\/h2>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528Pillow\u5e93\u4e2d\u7684\u6ee4\u955c\u6765\u51cf\u5c11\u56fe\u50cf\u4e2d\u7684\u566a\u58f0\u3002\u4f8b\u5982\uff0c\u4f7f\u7528\u4e2d\u503c\u6ee4\u6ce2\u5668\u6765\u51cf\u5c11\u566a\u58f0\uff1a<\/p>\n<\/p>\n
from PIL import ImageFilter<\/p>\n
image = Image.open('noisy_image.jpg')<\/p>\n
denoised_image = image.filter(ImageFilter.MedianFilter(size=3))<\/p>\n
denoised_image.save('denoised_image.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u5341\u3001\u751f\u6210\u7f29\u7565\u56fe<\/h2>\n<\/p>\n
\u53ef\u4ee5\u751f\u6210\u56fe\u50cf\u7684\u7f29\u7565\u56fe\u3002\u4f8b\u5982\uff0c\u4e3a\u56fe\u50cf\u751f\u6210\u7f29\u7565\u56fe\u5e76\u4fdd\u6301\u5176\u7eb5\u6a2a\u6bd4\uff1a<\/p>\n<\/p>\n
image = Image.open('example.jpg')<\/p>\n
image.thumbnail((200, 200))<\/p>\n
image.save('thumbnail.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u5341\u4e00\u3001\u5904\u7406\u56fe\u50cf\u8499\u7248<\/h2>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528\u8499\u7248\u6765\u5bf9\u56fe\u50cf\u8fdb\u884c\u5c40\u90e8\u5904\u7406\u3002\u4f8b\u5982\uff0c\u4f7f\u7528\u8499\u7248\u6765\u5408\u5e76\u4e24\u5f20\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
image1 = Image.open('image1.jpg')<\/p>\n
image2 = Image.open('image2.jpg')<\/p>\n
mask = Image.open('mask.png').convert('L')<\/p>\n
blended_image = Image.composite(image1, image2, mask)<\/p>\n
blended_image.save('blended_image.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u4ecb\u7ecd\uff0c\u53ef\u4ee5\u770b\u51faPillow\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u3002\u65e0\u8bba\u662f\u7b80\u5355\u7684\u56fe\u50cf\u8f6c\u6362\u3001\u88c1\u526a\u3001\u65cb\u8f6c\uff0c\u8fd8\u662f\u590d\u6742\u7684\u56fe\u50cf\u6ee4\u955c\u3001\u589e\u5f3a\u3001\u5408\u5e76\u7b49\u64cd\u4f5c\uff0cPillow\u5e93\u90fd\u80fd\u80dc\u4efb\u3002\u5e0c\u671b\u8fd9\u4e9b\u5185\u5bb9\u80fd\u591f\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u4f7f\u7528Pillow\u5e93\u8fdb\u884c\u56fe\u50cf\u5904\u7406\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 Python\u7684PIL\u5e93\u53ef\u4ee5\u5b9e\u73b0\u54ea\u4e9b\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff1f<\/strong>
PIL\uff08Python Imaging Library\uff09\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u5305\u62ec\u6253\u5f00\u3001\u521b\u5efa\u3001\u7f16\u8f91\u548c\u4fdd\u5b58\u56fe\u50cf\u3002\u7528\u6237\u53ef\u4ee5\u4f7f\u7528PIL\u8fdb\u884c\u56fe\u50cf\u683c\u5f0f\u8f6c\u6362\u3001\u88c1\u526a\u3001\u7f29\u653e\u3001\u65cb\u8f6c\u3001\u8c03\u6574\u4eae\u5ea6\u548c\u5bf9\u6bd4\u5ea6\u3001\u7ed8\u5236\u6587\u672c\u548c\u5f62\u72b6\u7b49\u64cd\u4f5c\u3002\u6b64\u5916\uff0cPIL\u8fd8\u652f\u6301\u56fe\u50cf\u6ee4\u955c\u548c\u6548\u679c\u7684\u5e94\u7528\uff0c\u6781\u5927\u5730\u65b9\u4fbf\u4e86\u7528\u6237\u5728\u56fe\u50cf\u5904\u7406\u9886\u57df\u7684\u5de5\u4f5c\u3002<\/p>\n
\u5982\u4f55\u5b89\u88c5PIL\u5e93\u4ee5\u4fbf\u5728Python\u4e2d\u4f7f\u7528\uff1f<\/strong>
\u867d\u7136PIL\u5e93\u672c\u8eab\u5df2\u7ecf\u4e0d\u518d\u7ef4\u62a4\uff0c\u4f46\u5176\u5206\u652f\u7248\u672cPillow\u4ecd\u7136\u662f\u63a8\u8350\u7684\u9009\u62e9\u3002\u7528\u6237\u53ef\u4ee5\u901a\u8fc7Python\u7684\u5305\u7ba1\u7406\u5de5\u5177pip\u8f7b\u677e\u5b89\u88c5Pillow\u3002\u5728\u547d\u4ee4\u884c\u4e2d\u8f93\u5165pip install Pillow<\/code>\u5373\u53ef\u5b8c\u6210\u5b89\u88c5\u3002\u5b89\u88c5\u6210\u529f\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7from PIL import Image<\/code>\u7b49\u65b9\u5f0f\u5bfc\u5165\u6240\u9700\u7684\u6a21\u5757\uff0c\u5f00\u59cb\u4f7f\u7528\u5e93\u4e2d\u7684\u529f\u80fd\u3002<\/p>\n
\u5728\u4f7f\u7528PIL\u5e93\u65f6\uff0c\u5982\u4f55\u5904\u7406\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u50cf\uff1f<\/strong>
PIL\u5e93\u652f\u6301\u591a\u79cd\u56fe\u50cf\u683c\u5f0f\uff0c\u5982JPEG\u3001PNG\u3001BMP\u3001GIF\u7b49\u3002\u7528\u6237\u53ef\u4ee5\u901a\u8fc7Image.open()<\/code>\u65b9\u6cd5\u6253\u5f00\u56fe\u50cf\u6587\u4ef6\uff0cPIL\u4f1a\u81ea\u52a8\u8bc6\u522b\u6587\u4ef6\u683c\u5f0f\u3002\u5728\u5904\u7406\u56fe\u50cf\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528Image.save()<\/code>\u65b9\u6cd5\u5c06\u56fe\u50cf\u4fdd\u5b58\u4e3a\u6240\u9700\u7684\u683c\u5f0f\u3002\u5728\u4fdd\u5b58\u65f6\uff0c\u53ef\u4ee5\u6307\u5b9a\u6587\u4ef6\u6269\u5c55\u540d\uff08\u4f8b\u5982.png<\/code>\u6216.jpg<\/code>\uff09\uff0cPIL\u4f1a\u6839\u636e\u6269\u5c55\u540d\u81ea\u52a8\u9009\u62e9\u5408\u9002\u7684\u683c\u5f0f\u6765\u4fdd\u5b58\u56fe\u50cf\u3002\u5bf9\u4e8e\u67d0\u4e9b\u683c\u5f0f\uff0c\u5982GIF\uff0c\u8fd8\u53ef\u4ee5\u8bbe\u7f6e\u900f\u660e\u5ea6\u6216\u52a8\u753b\u53c2\u6570\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u7684PIL\u5e93\u53ef\u4ee5\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u3001\u56fe\u50cf\u8f6c\u6362\u548c\u56fe\u50cf\u589e\u5f3a\u7b49\u64cd\u4f5c\u3002\u9996\u5148\u5bfc\u5165PIL\u5e93\u4e2d\u7684Image\u6a21\u5757\uff0c\u7136\u540e\u901a\u8fc7 […]","protected":false},"author":3,"featured_media":1185418,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1185397"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1185397"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1185397\/revisions"}],"predecessor-version":[{"id":1185421,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1185397\/revisions\/1185421"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1185418"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1185397"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1185397"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1185397"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}