{"id":1145230,"date":"2025-01-08T23:06:28","date_gmt":"2025-01-08T15:06:28","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1145230.html"},"modified":"2025-01-08T23:06:30","modified_gmt":"2025-01-08T15:06:30","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python3h%e5%88%b6%e4%bd%9c%e4%b9%9d%e5%ae%ab%e6%a0%bc%e7%85%a7%e7%89%87","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1145230.html","title":{"rendered":"\u5982\u4f55\u7528python3h\u5236\u4f5c\u4e5d\u5bab\u683c\u7167\u7247"},"content":{"rendered":"

\"\u5982\u4f55\u7528python3h\u5236\u4f5c\u4e5d\u5bab\u683c\u7167\u7247\"<\/p>\n

\u4f7f\u7528Python3\u5236\u4f5c\u4e5d\u5bab\u683c\u7167\u7247\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528Pillow\u5e93\u8fdb\u884c\u56fe\u50cf\u5904\u7406\u3001\u786e\u5b9a\u6bcf\u4e2a\u5b50\u56fe\u7684\u5c3a\u5bf8\u3001\u5c06\u5b50\u56fe\u62fc\u63a5\u6210\u4e00\u4e2a\u4e5d\u5bab\u683c\u3001\u4fdd\u5b58\u6700\u7ec8\u56fe\u50cf\u3002<\/strong>\u8fd9\u7bc7\u6587\u7ae0\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u6b65\u9aa4\uff0c\u5e76\u63d0\u4f9b\u5b8c\u6574\u7684\u4ee3\u7801\u793a\u4f8b\u3002<\/p>\n<\/p>\n

\u4e00\u3001Pillow\u5e93\u7684\u5b89\u88c5\u4e0e\u5bfc\u5165<\/h2>\n<\/p>\n

Python\u4e2d\u6709\u5f88\u591a\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u7684\u5e93\uff0c\u5176\u4e2dPillow\u662f\u4e00\u4e2a\u975e\u5e38\u6d41\u884c\u7684\u9009\u62e9\u3002\u6211\u4eec\u9996\u5148\u9700\u8981\u786e\u4fdd\u5b89\u88c5\u4e86Pillow\u5e93\uff1a<\/p>\n<\/p>\n

pip install Pillow<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u5728\u4ee3\u7801\u4e2d\u5bfc\u5165\u5b83\uff1a<\/p>\n<\/p>\n
from PIL import Image<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u52a0\u8f7d\u4e0e\u5904\u7406\u56fe\u7247<\/h2>\n<\/p>\n
\u6211\u4eec\u9700\u8981\u52a0\u8f7d\u539f\u59cb\u56fe\u7247\uff0c\u5e76\u786e\u5b9a\u6bcf\u4e2a\u5b50\u56fe\u7684\u5c3a\u5bf8\u3002\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u5f20\u56fe\u7247\uff0c\u5176\u8def\u5f84\u4e3a\u201coriginal.jpg\u201d\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u52a0\u8f7d\u5b83\uff1a<\/p>\n<\/p>\n
image = Image.open("original.jpg")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u9700\u8981\u786e\u5b9a\u6bcf\u4e2a\u5b50\u56fe\u7684\u5c3a\u5bf8\u3002\u5047\u8bbe\u6211\u4eec\u5e0c\u671b\u5c06\u56fe\u7247\u5206\u62103×3\u7684\u4e5d\u5bab\u683c\uff0c\u6211\u4eec\u53ef\u4ee5\u8ba1\u7b97\u6bcf\u4e2a\u5b50\u56fe\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\uff1a<\/p>\n<\/p>\n
width, height = image.size<\/p>\n
sub_width = width \/\/ 3<\/p>\n
sub_height = height \/\/ 3<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u88c1\u526a\u5b50\u56fe<\/h2>\n<\/p>\n
\u6211\u4eec\u9700\u8981\u904d\u5386\u539f\u59cb\u56fe\u7247\uff0c\u5e76\u5c06\u5176\u88c1\u526a\u62109\u4e2a\u5b50\u56fe\u3002\u4ee5\u4e0b\u4ee3\u7801\u5b9e\u73b0\u4e86\u8fd9\u4e00\u70b9\uff1a<\/p>\n<\/p>\n
sub_images = []<\/p>\n
for i in range(3):<\/p>\n
    for j in range(3):<\/p>\n
        left = j * sub_width<\/p>\n
        upper = i * sub_height<\/p>\n
        right = (j + 1) * sub_width<\/p>\n
        lower = (i + 1) * sub_height<\/p>\n
        sub_image = image.crop((left, upper, right, lower))<\/p>\n
        sub_images.append(sub_image)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u62fc\u63a5\u5b50\u56fe<\/h2>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u9700\u8981\u5c06\u88c1\u526a\u51fa\u6765\u7684\u5b50\u56fe\u62fc\u63a5\u6210\u4e00\u4e2a\u4e5d\u5bab\u683c\u3002\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u7a7a\u767d\u56fe\u50cf\uff0c\u5e76\u5c06\u5b50\u56fe\u9010\u4e00\u7c98\u8d34\u5230\u5176\u4e2d\uff1a<\/p>\n<\/p>\n
new_image = Image.new('RGB', (width, height))<\/p>\n
for i in range(3):<\/p>\n
    for j in range(3):<\/p>\n
        new_image.paste(sub_images[i * 3 + j], (j * sub_width, i * sub_height))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u4fdd\u5b58\u6700\u7ec8\u56fe\u50cf<\/h2>\n<\/p>\n
\u6700\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u62fc\u63a5\u597d\u7684\u4e5d\u5bab\u683c\u56fe\u50cf\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff1a<\/p>\n<\/p>\n
new_image.save("nine_grid.jpg")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u4ee3\u7801\u793a\u4f8b<\/h2>\n<\/p>\n
\u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u6574\u4e2a\u6d41\u7a0b\uff0c\u4ee5\u4e0b\u662f\u5b8c\u6574\u7684\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from PIL import Image<\/p>\n
\u52a0\u8f7d\u539f\u59cb\u56fe\u7247<\/strong><\/h2>\n
image = Image.open("original.jpg")<\/p>\n
\u786e\u5b9a\u6bcf\u4e2a\u5b50\u56fe\u7684\u5c3a\u5bf8<\/strong><\/h2>\n
width, height = image.size<\/p>\n
sub_width = width \/\/ 3<\/p>\n
sub_height = height \/\/ 3<\/p>\n
\u88c1\u526a\u5b50\u56fe<\/strong><\/h2>\n
sub_images = []<\/p>\n
for i in range(3):<\/p>\n
    for j in range(3):<\/p>\n
        left = j * sub_width<\/p>\n
        upper = i * sub_height<\/p>\n
        right = (j + 1) * sub_width<\/p>\n
        lower = (i + 1) * sub_height<\/p>\n
        sub_image = image.crop((left, upper, right, lower))<\/p>\n
        sub_images.append(sub_image)<\/p>\n
\u521b\u5efa\u65b0\u56fe\u50cf\u5e76\u7c98\u8d34\u5b50\u56fe<\/strong><\/h2>\n
new_image = Image.new('RGB', (width, height))<\/p>\n
for i in range(3):<\/p>\n
    for j in range(3):<\/p>\n
        new_image.paste(sub_images[i * 3 + j], (j * sub_width, i * sub_height))<\/p>\n
\u4fdd\u5b58\u6700\u7ec8\u56fe\u50cf<\/strong><\/h2>\n
new_image.save("nine_grid.jpg")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8be6\u7ec6\u63cf\u8ff0\uff1a\u88c1\u526a\u5b50\u56fe<\/h3>\n<\/p>\n
\u5728\u88c1\u526a\u5b50\u56fe\u65f6\uff0c\u6211\u4eec\u4f7f\u7528\u4e86image.crop()<\/code>\u65b9\u6cd5\uff0c\u8fd9\u4e2a\u65b9\u6cd5\u63a5\u53d7\u4e00\u4e2a\u56db\u5143\u7ec4\u4f5c\u4e3a\u53c2\u6570\uff0c\u8868\u793a\u88c1\u526a\u533a\u57df\u7684\u5de6\u3001\u4e0a\u3001\u53f3\u3001\u4e0b\u8fb9\u754c\u3002\u901a\u8fc7\u904d\u5386\u539f\u59cb\u56fe\u7247\u7684\u884c\u548c\u5217\uff0c\u6211\u4eec\u53ef\u4ee5\u7cbe\u786e\u5730\u88c1\u526a\u51fa\u6bcf\u4e2a\u5b50\u56fe\u3002<\/p>\n<\/p>\n
\u4f8b\u5982\uff0c\u5047\u8bbe\u539f\u59cb\u56fe\u7247\u7684\u5c3a\u5bf8\u4e3a900×900\u50cf\u7d20\uff0c\u90a3\u4e48\u6bcf\u4e2a\u5b50\u56fe\u7684\u5c3a\u5bf8\u5c06\u662f300×300\u50cf\u7d20\u3002\u5728\u7b2c\u4e00\u884c\u7b2c\u4e00\u5217\uff0c\u88c1\u526a\u533a\u57df\u7684\u5de6\u3001\u4e0a\u3001\u53f3\u3001\u4e0b\u8fb9\u754c\u5206\u522b\u662f0, 0, 300, 300\uff1b\u5728\u7b2c\u4e00\u884c\u7b2c\u4e8c\u5217\uff0c\u88c1\u526a\u533a\u57df\u7684\u5de6\u3001\u4e0a\u3001\u53f3\u3001\u4e0b\u8fb9\u754c\u5206\u522b\u662f300, 0, 600, 300\uff0c\u4ee5\u6b64\u7c7b\u63a8\u3002<\/p>\n<\/p>\n
\u8be6\u7ec6\u63cf\u8ff0\uff1a\u62fc\u63a5\u5b50\u56fe<\/h3>\n<\/p>\n
\u5728\u62fc\u63a5\u5b50\u56fe\u65f6\uff0c\u6211\u4eec\u4f7f\u7528\u4e86Image.new()<\/code>\u65b9\u6cd5\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u7a7a\u767d\u56fe\u50cf\uff0c\u7136\u540e\u4f7f\u7528new_image.paste()<\/code>\u65b9\u6cd5\u5c06\u6bcf\u4e2a\u5b50\u56fe\u7c98\u8d34\u5230\u6b63\u786e\u7684\u4f4d\u7f6e\u3002\u901a\u8fc7\u904d\u5386\u884c\u548c\u5217\uff0c\u6211\u4eec\u53ef\u4ee5\u7cbe\u786e\u5730\u5c06\u6bcf\u4e2a\u5b50\u56fe\u7c98\u8d34\u5230\u65b0\u56fe\u50cf\u7684\u5bf9\u5e94\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n
\u4f8b\u5982\uff0c\u5728\u7b2c\u4e00\u884c\u7b2c\u4e00\u5217\uff0c\u5b50\u56fe\u5c06\u88ab\u7c98\u8d34\u5230\u65b0\u56fe\u50cf\u7684(0, 0)\u4f4d\u7f6e\uff1b\u5728\u7b2c\u4e00\u884c\u7b2c\u4e8c\u5217\uff0c\u5b50\u56fe\u5c06\u88ab\u7c98\u8d34\u5230\u65b0\u56fe\u50cf\u7684(300, 0)\u4f4d\u7f6e\uff0c\u4ee5\u6b64\u7c7b\u63a8\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u4f18\u5316\u4e0e\u6269\u5c55<\/h2>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5bf9\u4e5d\u5bab\u683c\u8fdb\u884c\u4e00\u4e9b\u4f18\u5316\u548c\u6269\u5c55\uff0c\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
1\u3001\u81ea\u5b9a\u4e49\u5b50\u56fe\u5c3a\u5bf8<\/h3>\n<\/p>\n
\u6709\u65f6\u6211\u4eec\u53ef\u80fd\u5e0c\u671b\u5b50\u56fe\u7684\u5c3a\u5bf8\u4e0d\u662f\u5747\u7b49\u7684\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u53ef\u4ee5\u81ea\u5b9a\u4e49\u6bcf\u4e2a\u5b50\u56fe\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
sub_widths = [100, 200, 300]<\/p>\n
sub_heights = [150, 250, 350]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u8fd9\u4e9b\u81ea\u5b9a\u4e49\u7684\u5c3a\u5bf8\u8fdb\u884c\u88c1\u526a\u548c\u62fc\u63a5\u3002<\/p>\n<\/p>\n
2\u3001\u6dfb\u52a0\u8fb9\u6846<\/h3>\n<\/p>\n
\u4e3a\u4e86\u4f7f\u4e5d\u5bab\u683c\u770b\u8d77\u6765\u66f4\u52a0\u7f8e\u89c2\uff0c\u6211\u4eec\u53ef\u4ee5\u5728\u5b50\u56fe\u4e4b\u95f4\u6dfb\u52a0\u8fb9\u6846\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528ImageDraw<\/code>\u6a21\u5757\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
from PIL import ImageDraw<\/p>\n
\u521b\u5efa\u65b0\u56fe\u50cf\u5e76\u6dfb\u52a0\u8fb9\u6846<\/strong><\/h2>\n
new_image = Image.new('RGB', (width + 20, height + 20), 'white')<\/p>\n
draw = ImageDraw.Draw(new_image)<\/p>\n
for i in range(3):<\/p>\n
    for j in range(3):<\/p>\n
        x = j * (sub_width + 10) + 10<\/p>\n
        y = i * (sub_height + 10) + 10<\/p>\n
        new_image.paste(sub_images[i * 3 + j], (x, y))<\/p>\n
        draw.rectangle([x, y, x + sub_width, y + sub_height], outline='black', width=2)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u652f\u6301\u4e0d\u540c\u7684\u56fe\u50cf\u683c\u5f0f<\/h3>\n<\/p>\n
Pillow\u652f\u6301\u591a\u79cd\u56fe\u50cf\u683c\u5f0f\uff0c\u4f8b\u5982JPEG\u3001PNG\u3001GIF\u7b49\u3002\u5728\u52a0\u8f7d\u548c\u4fdd\u5b58\u56fe\u50cf\u65f6\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u9700\u8981\u9009\u62e9\u4e0d\u540c\u7684\u683c\u5f0f\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
image = Image.open("original.png")<\/p>\n
new_image.save("nine_grid.png")<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u6279\u91cf\u5904\u7406\u591a\u5f20\u56fe\u7247<\/h3>\n<\/p>\n
\u5982\u679c\u9700\u8981\u6279\u91cf\u5904\u7406\u591a\u5f20\u56fe\u7247\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u5faa\u73af\u6765\u904d\u5386\u6587\u4ef6\u5939\u4e2d\u7684\u6240\u6709\u56fe\u7247\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import os<\/p>\n
input_folder = "input_images"<\/p>\n
output_folder = "output_images"<\/p>\n
for filename in os.listdir(input_folder):<\/p>\n
    if filename.endswith(".jpg"):<\/p>\n
        image = Image.open(os.path.join(input_folder, filename))<\/p>\n
        # \u5904\u7406\u56fe\u7247\u5e76\u4fdd\u5b58<\/p>\n
        new_image.save(os.path.join(output_folder, "nine_grid_" + filename))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516b\u3001\u603b\u7ed3<\/h2>\n<\/p>\n
\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u8be6\u7ec6\u4e86\u89e3\u4e86\u5982\u4f55\u4f7f\u7528Python3\u548cPillow\u5e93\u5236\u4f5c\u4e5d\u5bab\u683c\u7167\u7247\u3002\u6211\u4eec\u4ece\u5e93\u7684\u5b89\u88c5\u4e0e\u5bfc\u5165\u5f00\u59cb\uff0c\u9010\u6b65\u4ecb\u7ecd\u4e86\u52a0\u8f7d\u4e0e\u5904\u7406\u56fe\u7247\u3001\u88c1\u526a\u5b50\u56fe\u3001\u62fc\u63a5\u5b50\u56fe\u3001\u4fdd\u5b58\u6700\u7ec8\u56fe\u50cf\u7684\u5168\u8fc7\u7a0b\uff0c\u5e76\u63d0\u4f9b\u4e86\u4ee3\u7801\u793a\u4f8b\u3002\u6b64\u5916\uff0c\u6211\u4eec\u8fd8\u63a2\u8ba8\u4e86\u4e00\u4e9b\u4f18\u5316\u4e0e\u6269\u5c55\u7684\u65b9\u6cd5\uff0c\u4f8b\u5982\u81ea\u5b9a\u4e49\u5b50\u56fe\u5c3a\u5bf8\u3001\u6dfb\u52a0\u8fb9\u6846\u3001\u652f\u6301\u4e0d\u540c\u7684\u56fe\u50cf\u683c\u5f0f\u4ee5\u53ca\u6279\u91cf\u5904\u7406\u591a\u5f20\u56fe\u7247\u3002<\/p>\n<\/p>\n
\u5e0c\u671b\u672c\u6587\u80fd\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u548c\u638c\u63e1\u4f7f\u7528Python\u8fdb\u884c\u56fe\u50cf\u5904\u7406\u7684\u6280\u5de7\u3002\u5982\u679c\u4f60\u6709\u4efb\u4f55\u95ee\u9898\u6216\u5efa\u8bae\uff0c\u6b22\u8fce\u5728\u8bc4\u8bba\u533a\u7559\u8a00\u4e0e\u6211\u4eec\u4ea4\u6d41\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u7528Python3\u5236\u4f5c\u4e5d\u5bab\u683c\u7167\u7247\u7684\u57fa\u672c\u6b65\u9aa4\u662f\u4ec0\u4e48\uff1f<\/strong>
\u5236\u4f5c\u4e5d\u5bab\u683c\u7167\u7247\u7684\u57fa\u672c\u6b65\u9aa4\u5305\u62ec\uff1a\u9996\u5148\uff0c\u5b89\u88c5\u5fc5\u8981\u7684\u5e93\uff0c\u4f8b\u5982Pillow\u548cNumPy\u3002\u63a5\u4e0b\u6765\uff0c\u52a0\u8f7d\u8981\u5408\u6210\u7684\u56fe\u7247\uff0c\u5e76\u5c06\u5176\u8c03\u6574\u4e3a\u9002\u5408\u7684\u5c3a\u5bf8\u3002\u7136\u540e\uff0c\u5c06\u8fd9\u4e9b\u56fe\u7247\u5206\u4e3a\u4e5d\u4e2a\u90e8\u5206\uff0c\u6309\u7167\u7279\u5b9a\u7684\u6392\u5217\u65b9\u5f0f\u8fdb\u884c\u62fc\u63a5\u3002\u6700\u540e\uff0c\u4fdd\u5b58\u751f\u6210\u7684\u4e5d\u5bab\u683c\u7167\u7247\u3002<\/p>\n
\u9700\u8981\u51c6\u5907\u54ea\u4e9b\u56fe\u7247\u624d\u80fd\u5236\u4f5c\u4e5d\u5bab\u683c\u7167\u7247\uff1f<\/strong>
\u4e3a\u4e86\u5236\u4f5c\u4e5d\u5bab\u683c\u7167\u7247\uff0c\u5efa\u8bae\u51c6\u5907\u81f3\u5c11\u4e5d\u5f20\u56fe\u7247\u3002\u8fd9\u4e9b\u56fe\u7247\u7684\u4e3b\u9898\u53ef\u4ee5\u76f8\u4f3c\uff0c\u4ee5\u8fbe\u5230\u66f4\u597d\u7684\u89c6\u89c9\u6548\u679c\u3002\u786e\u4fdd\u5b83\u4eec\u7684\u5c3a\u5bf8\u76f8\u8fd1\uff0c\u4ee5\u4fbf\u5728\u62fc\u63a5\u65f6\u4e0d\u4f1a\u51fa\u73b0\u4e0d\u534f\u8c03\u7684\u6548\u679c\u3002\u5982\u679c\u56fe\u7247\u5c3a\u5bf8\u4e0d\u4e00\u81f4\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684Pillow\u5e93\u8fdb\u884c\u7f29\u653e\u5904\u7406\u3002<\/p>\n
\u5982\u4f55\u786e\u4fdd\u4e5d\u5bab\u683c\u7167\u7247\u7684\u5e03\u5c40\u7f8e\u89c2\uff1f<\/strong>
\u786e\u4fdd\u4e5d\u5bab\u683c\u7167\u7247\u7f8e\u89c2\u7684\u5173\u952e\u5728\u4e8e\u9009\u62e9\u5408\u9002\u7684\u56fe\u7247\u548c\u5e03\u5c40\u3002\u53ef\u4ee5\u8003\u8651\u4f7f\u7528\u76f8\u540c\u7684\u6ee4\u955c\u6216\u98ce\u683c\u6765\u5904\u7406\u6bcf\u5f20\u56fe\u7247\uff0c\u4fdd\u6301\u8272\u8c03\u4e00\u81f4\u3002\u540c\u65f6\uff0c\u6ce8\u610f\u5404\u4e2a\u56fe\u7247\u4e4b\u95f4\u7684\u8fb9\u8ddd\u548c\u5bf9\u9f50\u65b9\u5f0f\uff0c\u9002\u5f53\u7684\u7559\u767d\u53ef\u4ee5\u589e\u5f3a\u6574\u4f53\u7684\u89c6\u89c9\u6548\u679c\u3002\u6b64\u5916\uff0c\u4f7f\u7528Python\u4e2d\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u6765\u8c03\u6574\u4eae\u5ea6\u3001\u5bf9\u6bd4\u5ea6\u7b49\u53c2\u6570\u4e5f\u80fd\u63d0\u5347\u7167\u7247\u7684\u7f8e\u611f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528Python3\u5236\u4f5c\u4e5d\u5bab\u683c\u7167\u7247\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528Pillow\u5e93\u8fdb\u884c\u56fe\u50cf\u5904\u7406\u3001\u786e\u5b9a\u6bcf\u4e2a\u5b50\u56fe\u7684\u5c3a\u5bf8\u3001\u5c06\u5b50\u56fe\u62fc\u63a5\u6210\u4e00 […]","protected":false},"author":3,"featured_media":1145238,"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\/1145230"}],"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=1145230"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1145230\/revisions"}],"predecessor-version":[{"id":1145240,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1145230\/revisions\/1145240"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1145238"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1145230"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1145230"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1145230"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}