{"id":1146116,"date":"2025-01-08T23:14:14","date_gmt":"2025-01-08T15:14:14","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1146116.html"},"modified":"2025-01-08T23:14:14","modified_gmt":"2025-01-08T15:14:14","slug":"python%e5%a6%82%e4%bd%95%e5%b0%86%e4%b8%a4%e5%bc%a0%e5%9b%be%e5%90%88%e5%9c%a8%e4%b8%80%e8%b5%b7","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1146116.html","title":{"rendered":"python\u5982\u4f55\u5c06\u4e24\u5f20\u56fe\u5408\u5728\u4e00\u8d77"},"content":{"rendered":"

\"python\u5982\u4f55\u5c06\u4e24\u5f20\u56fe\u5408\u5728\u4e00\u8d77\"<\/p>\n

Python\u5c06\u4e24\u5f20\u56fe\u5408\u5728\u4e00\u8d77\u7684\u51e0\u79cd\u65b9\u6cd5\u3001\u4f7f\u7528Image\u6a21\u5757\u548cOpenCV\u5e93<\/strong><\/p>\n<\/p>\n

\u5728Python\u4e2d\uff0c\u5c06\u4e24\u5f20\u56fe\u50cf\u5408\u5e76\u5728\u4e00\u8d77\u7684\u5e38\u7528\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528Pillow\u5e93\u4e2d\u7684Image\u6a21\u5757\u548cOpenCV\u5e93\u3002\u4f7f\u7528Pillow\u5e93\u3001\u4f7f\u7528OpenCV\u5e93\u3001\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\u3001\u8bbe\u7f6e\u900f\u660e\u5ea6\u548c\u53e0\u52a0\u6548\u679c<\/strong>\u662f\u5b9e\u73b0\u56fe\u50cf\u5408\u5e76\u7684\u51e0\u79cd\u4e3b\u8981\u65b9\u5f0f\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5176\u4e2d\u4e00\u79cd\u65b9\u6cd5\uff0c\u5373\u4f7f\u7528Pillow\u5e93\u4e2d\u7684Image\u6a21\u5757\u8fdb\u884c\u56fe\u50cf\u5408\u5e76\u3002<\/p>\n<\/p>\n

\u4e00\u3001Pillow\u5e93\u7b80\u4ecb<\/h3>\n<\/p>\n

Pillow\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u5b83\u662fPython Imaging Library (PIL) \u7684\u4e00\u4e2a\u5206\u652f\uff0c\u5e76\u4e14\u4e0ePIL\u5b8c\u5168\u517c\u5bb9\u3002Pillow\u5e93\u63d0\u4f9b\u4e86\u8bb8\u591a\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u5305\u62ec\u56fe\u50cf\u5408\u5e76\u3001\u88c1\u526a\u3001\u65cb\u8f6c\u3001\u8c03\u6574\u5927\u5c0f\u548c\u989c\u8272\u8f6c\u6362\u7b49\u3002\u4f7f\u7528Pillow\u5e93\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u5b9e\u73b0\u5c06\u4e24\u5f20\u56fe\u50cf\u5408\u5e76\u5728\u4e00\u8d77\u7684\u6548\u679c\u3002<\/p>\n<\/p>\n

\u4e8c\u3001\u5b89\u88c5Pillow\u5e93<\/h3>\n<\/p>\n

\u5728\u4f7f\u7528Pillow\u5e93\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u5148\u5b89\u88c5\u5b83\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install Pillow<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u5c31\u53ef\u4ee5\u5f00\u59cb\u4f7f\u7528Pillow\u5e93\u8fdb\u884c\u56fe\u50cf\u5904\u7406\u4e86\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528Pillow\u5e93\u5c06\u4e24\u5f20\u56fe\u5408\u5728\u4e00\u8d77<\/h3>\n<\/p>\n
\u4e0b\u9762\u662f\u4f7f\u7528Pillow\u5e93\u5c06\u4e24\u5f20\u56fe\u50cf\u5408\u5e76\u5728\u4e00\u8d77\u7684\u5177\u4f53\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n
1\u3001\u5bfc\u5165\u6240\u9700\u7684\u6a21\u5757<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5bfc\u5165Pillow\u5e93\u4e2d\u7684Image\u6a21\u5757\u3002<\/p>\n<\/p>\n
from PIL import Image<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u6253\u5f00\u56fe\u50cf\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528Image\u6a21\u5757\u7684open<\/code>\u65b9\u6cd5\u6253\u5f00\u4e24\u5f20\u56fe\u50cf\u6587\u4ef6\u3002<\/p>\n<\/p>\n
image1 = Image.open('path_to_image1.jpg')<\/p>\n
image2 = Image.open('path_to_image2.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u7a7a\u767d\u56fe\u50cf<\/h4>\n<\/p>\n
\u6839\u636e\u4e24\u5f20\u56fe\u50cf\u7684\u5c3a\u5bf8\uff0c\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u7a7a\u767d\u56fe\u50cf\uff0c\u7528\u4e8e\u5b58\u653e\u5408\u5e76\u540e\u7684\u56fe\u50cf\u3002\u8fd9\u91cc\u6211\u4eec\u5047\u8bbe\u4e24\u5f20\u56fe\u50cf\u7684\u5c3a\u5bf8\u76f8\u540c\u3002<\/p>\n<\/p>\n
new_image = Image.new('RGB', (image1.width + image2.width, image1.height))<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u5c06\u4e24\u5f20\u56fe\u50cf\u7c98\u8d34\u5230\u65b0\u7684\u56fe\u50cf\u4e0a<\/h4>\n<\/p>\n
\u4f7f\u7528Image\u6a21\u5757\u7684paste<\/code>\u65b9\u6cd5\uff0c\u5c06\u4e24\u5f20\u56fe\u50cf\u7c98\u8d34\u5230\u65b0\u7684\u7a7a\u767d\u56fe\u50cf\u4e0a\u3002<\/p>\n<\/p>\n
new_image.paste(image1, (0, 0))<\/p>\n
new_image.paste(image2, (image1.width, 0))<\/p>\n
<\/code><\/pre>\n<\/p>\n
5\u3001\u4fdd\u5b58\u5408\u5e76\u540e\u7684\u56fe\u50cf<\/h4>\n<\/p>\n
\u5c06\u5408\u5e76\u540e\u7684\u56fe\u50cf\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
new_image.save('merged_image.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8<\/h3>\n<\/p>\n
\u6709\u65f6\u5019\uff0c\u4e24\u5f20\u56fe\u50cf\u7684\u5c3a\u5bf8\u53ef\u80fd\u4e0d\u76f8\u540c\uff0c\u6b64\u65f6\u9700\u8981\u5bf9\u56fe\u50cf\u8fdb\u884c\u8c03\u6574\u3002\u53ef\u4ee5\u4f7f\u7528Image\u6a21\u5757\u7684resize<\/code>\u65b9\u6cd5\u8c03\u6574\u56fe\u50cf\u7684\u5927\u5c0f\u3002<\/p>\n<\/p>\n
image1 = image1.resize((new_width, new_height))<\/p>\n
image2 = image2.resize((new_width, new_height))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u8bbe\u7f6e\u900f\u660e\u5ea6\u548c\u53e0\u52a0\u6548\u679c<\/h3>\n<\/p>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u8bbe\u7f6e\u56fe\u50cf\u7684\u900f\u660e\u5ea6\u6216\u53e0\u52a0\u6548\u679c\u3002\u53ef\u4ee5\u4f7f\u7528Image\u6a21\u5757\u7684blend<\/code>\u65b9\u6cd5\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u3002<\/p>\n<\/p>\n
blended_image = Image.blend(image1, image2, alpha=0.5)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u4f7f\u7528OpenCV\u5e93\u5c06\u4e24\u5f20\u56fe\u5408\u5728\u4e00\u8d77<\/h3>\n<\/p>\n
\u9664\u4e86Pillow\u5e93\uff0cOpenCV\u5e93\u4e5f\u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u5e93\u3002\u4e0b\u9762\u662f\u4f7f\u7528OpenCV\u5e93\u5c06\u4e24\u5f20\u56fe\u50cf\u5408\u5e76\u5728\u4e00\u8d77\u7684\u6b65\u9aa4\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5OpenCV\u5e93<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5OpenCV\u5e93\uff1a<\/p>\n<\/p>\n
pip install opencv-python<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5bfc\u5165\u6240\u9700\u7684\u6a21\u5757<\/h4>\n<\/p>\n
import cv2<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528OpenCV\u5e93\u7684imread<\/code>\u65b9\u6cd5\u8bfb\u53d6\u4e24\u5f20\u56fe\u50cf\u6587\u4ef6\u3002<\/p>\n<\/p>\n
image1 = cv2.imread('path_to_image1.jpg')<\/p>\n
image2 = cv2.imread('path_to_image2.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8<\/h4>\n<\/p>\n
\u4f7f\u7528OpenCV\u5e93\u7684resize<\/code>\u65b9\u6cd5\u8c03\u6574\u56fe\u50cf\u7684\u5927\u5c0f\u3002<\/p>\n<\/p>\n
image1 = cv2.resize(image1, (new_width, new_height))<\/p>\n
image2 = cv2.resize(image2, (new_width, new_height))<\/p>\n
<\/code><\/pre>\n<\/p>\n
5\u3001\u5408\u5e76\u56fe\u50cf<\/h4>\n<\/p>\n
\u4f7f\u7528numpy<\/code>\u5e93\u7684hstack<\/code>\u65b9\u6cd5\u5c06\u4e24\u5f20\u56fe\u50cf\u6c34\u5e73\u5408\u5e76\u5728\u4e00\u8d77\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
merged_image = np.hstack((image1, image2))<\/p>\n
<\/code><\/pre>\n<\/p>\n
6\u3001\u4fdd\u5b58\u5408\u5e76\u540e\u7684\u56fe\u50cf<\/h4>\n<\/p>\n
\u4f7f\u7528OpenCV\u5e93\u7684imwrite<\/code>\u65b9\u6cd5\u5c06\u5408\u5e76\u540e\u7684\u56fe\u50cf\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
cv2.imwrite('merged_image.jpg', merged_image)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u56fe\u50cf\u5904\u7406\u4e2d\u7684\u5176\u4ed6\u6280\u5de7<\/h3>\n<\/p>\n
1\u3001\u88c1\u526a\u56fe\u50cf<\/h4>\n<\/p>\n
\u5728\u5408\u5e76\u56fe\u50cf\u4e4b\u524d\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5bf9\u56fe\u50cf\u8fdb\u884c\u88c1\u526a\u3002\u53ef\u4ee5\u4f7f\u7528Pillow\u5e93\u7684crop<\/code>\u65b9\u6cd5\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u3002<\/p>\n<\/p>\n
cropped_image = image1.crop((left, top, right, bottom))<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u65cb\u8f6c\u56fe\u50cf<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528Pillow\u5e93\u7684rotate<\/code>\u65b9\u6cd5\u65cb\u8f6c\u56fe\u50cf\u3002<\/p>\n<\/p>\n
rotated_image = image1.rotate(angle)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u8c03\u6574\u56fe\u50cf\u4eae\u5ea6<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528Pillow\u5e93\u7684ImageEnhance\u6a21\u5757\u8c03\u6574\u56fe\u50cf\u7684\u4eae\u5ea6\u3002<\/p>\n<\/p>\n
from PIL import ImageEnhance<\/p>\n
enhancer = ImageEnhance.Brightness(image1)<\/p>\n
brightened_image = enhancer.enhance(factor)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516b\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u4e86\u89e3\u4e86\u5982\u4f55\u4f7f\u7528Pillow\u5e93\u548cOpenCV\u5e93\u5c06\u4e24\u5f20\u56fe\u50cf\u5408\u5e76\u5728\u4e00\u8d77\u3002Pillow\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u56fe\u50cf\u5408\u5e76\u3001\u8c03\u6574\u5c3a\u5bf8\u3001\u8bbe\u7f6e\u900f\u660e\u5ea6\u548c\u53e0\u52a0\u6548\u679c<\/strong>\u3002\u800cOpenCV\u5e93\u5219\u662f\u4e00\u4e2a\u529f\u80fd\u66f4\u4e3a\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u9002\u5408\u5904\u7406\u66f4\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406\u4efb\u52a1\u3002\u65e0\u8bba\u662fPillow\u5e93\u8fd8\u662fOpenCV\u5e93\uff0c\u90fd\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u8f7b\u677e\u5b9e\u73b0\u56fe\u50cf\u5408\u5e76\u7684\u6548\u679c\u3002\u5e0c\u671b\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u5927\u5bb6\u80fd\u591f\u638c\u63e1\u8fd9\u4e9b\u56fe\u50cf\u5904\u7406\u6280\u5de7\uff0c\u5e76\u5e94\u7528\u5230\u5b9e\u9645\u9879\u76ee\u4e2d\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u4f7f\u7528Python\u5c06\u4e24\u5f20\u56fe\u7247\u5408\u5e76\u4e3a\u4e00\u5f20\uff1f<\/strong>
\u4f7f\u7528Python\u5408\u5e76\u4e24\u5f20\u56fe\u7247\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\uff0c\u5e38\u89c1\u7684\u65b9\u6cd5\u662f\u5229\u7528PIL\uff08Pillow\uff09\u5e93\u3002\u9996\u5148\uff0c\u60a8\u9700\u8981\u5b89\u88c5Pillow\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4 pip install Pillow<\/code> \u5b8c\u6210\u3002\u63a5\u4e0b\u6765\uff0c\u60a8\u53ef\u4ee5\u6253\u5f00\u4e24\u5f20\u56fe\u7247\uff0c\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u7a7a\u767d\u753b\u5e03\uff0c\u5e76\u5c06\u8fd9\u4e24\u5f20\u56fe\u7247\u7c98\u8d34\u5230\u753b\u5e03\u4e0a\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n
from PIL import Image\n\n# \u6253\u5f00\u4e24\u5f20\u56fe\u7247\nimg1 = Image.open('image1.jpg')\nimg2 = Image.open('image2.jpg')\n\n# \u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u7a7a\u767d\u56fe\u7247\uff0c\u5927\u5c0f\u4e3a\u4e24\u5f20\u56fe\u7247\u7684\u5bbd\u5ea6\u4e4b\u548c\u548c\u6700\u5927\u9ad8\u5ea6\nnew_width = img1.width + img2.width\nnew_height = max(img1.height, img2.height)\nnew_img = Image.new('RGB', (new_width, new_height))\n\n# \u5c06\u4e24\u5f20\u56fe\u7247\u7c98\u8d34\u5230\u65b0\u56fe\u7247\u4e0a\nnew_img.paste(img1, (0, 0))\nnew_img.paste(img2, (img1.width, 0))\n\n# \u4fdd\u5b58\u5408\u5e76\u540e\u7684\u56fe\u7247\nnew_img.save('combined_image.jpg')\n<\/code><\/pre>\n
\u6709\u54ea\u4e9bPython\u5e93\u53ef\u4ee5\u7528\u6765\u5408\u5e76\u56fe\u7247\uff1f<\/strong>
\u9664\u4e86PIL\uff08Pillow\uff09\u5916\uff0c\u8fd8\u6709\u5176\u4ed6\u4e00\u4e9b\u5e93\u53ef\u4ee5\u7528\u4e8e\u5408\u5e76\u56fe\u7247\u3002\u4f8b\u5982\uff0cOpenCV\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u63d0\u4f9b\u4e86\u56fe\u50cf\u5904\u7406\u7684\u4e30\u5bcc\u529f\u80fd\u3002\u4f7f\u7528OpenCV\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u4e24\u5f20\u56fe\u7247\u6c34\u5e73\u6216\u5782\u76f4\u5408\u5e76\u3002Matplotlib\u4e5f\u53ef\u4ee5\u7528\u4e8e\u5c55\u793a\u5408\u5e76\u540e\u7684\u56fe\u50cf\uff0c\u5c3d\u7ba1\u5b83\u4e3b\u8981\u7528\u4e8e\u7ed8\u56fe\u548c\u53ef\u89c6\u5316\u3002<\/p>\n
\u5408\u5e76\u56fe\u7247\u65f6\u9700\u8981\u6ce8\u610f\u54ea\u4e9b\u95ee\u9898\uff1f<\/strong>
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