{"id":1130722,"date":"2025-01-08T20:42:44","date_gmt":"2025-01-08T12:42:44","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1130722.html"},"modified":"2025-01-08T20:42:46","modified_gmt":"2025-01-08T12:42:46","slug":"python%e5%a6%82%e4%bd%95%e8%8e%b7%e5%8f%96%e4%b8%80%e5%bc%a0%e5%9b%be%e7%89%87%e7%9a%84%e6%89%80%e6%9c%89%e5%83%8f%e7%b4%a0","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1130722.html","title":{"rendered":"python\u5982\u4f55\u83b7\u53d6\u4e00\u5f20\u56fe\u7247\u7684\u6240\u6709\u50cf\u7d20"},"content":{"rendered":"

\"python\u5982\u4f55\u83b7\u53d6\u4e00\u5f20\u56fe\u7247\u7684\u6240\u6709\u50cf\u7d20\"<\/p>\n

Python\u83b7\u53d6\u4e00\u5f20\u56fe\u7247\u7684\u6240\u6709\u50cf\u7d20\uff0c\u53ef\u4ee5\u4f7f\u7528PIL\uff08Python Imaging Library\uff09\u6216\u5176\u5206\u652fPillow\u5e93\u3001Numpy\u5e93\u3002<\/strong> \u8fd9\u4e24\u79cd\u65b9\u6cd5\u5404\u6709\u4f18\u52a3\uff0c\u5177\u4f53\u9009\u62e9\u53d6\u51b3\u4e8e\u5b9e\u9645\u9700\u6c42\u3002Pillow\u5e93\u63d0\u4f9b\u4e86\u4fbf\u6377\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u800cNumpy\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u77e9\u9635\u64cd\u4f5c\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e24\u79cd\u65b9\u6cd5\u83b7\u53d6\u4e00\u5f20\u56fe\u7247\u7684\u6240\u6709\u50cf\u7d20\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528Pillow\u5e93\u83b7\u53d6\u56fe\u7247\u50cf\u7d20<\/h3>\n<\/p>\n

Pillow\u662fPython Imaging Library (PIL) \u7684\u4e00\u4e2a\u5206\u652f\uff0c\u73b0\u5df2\u6210\u4e3aPython\u56fe\u50cf\u5904\u7406\u7684\u6807\u51c6\u5e93\u4e4b\u4e00\u3002Pillow\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u5305\u62ec\u56fe\u50cf\u8bfb\u53d6\u3001\u4fdd\u5b58\u3001\u8f6c\u6362\u3001\u6ee4\u955c\u3001\u589e\u5f3a\u7b49\u3002\u4f7f\u7528Pillow\u5e93\u83b7\u53d6\u56fe\u7247\u50cf\u7d20\u7684\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n

1. \u5b89\u88c5Pillow\u5e93<\/h4>\n<\/p>\n

\u5728\u4f7f\u7528Pillow\u5e93\u4e4b\u524d\uff0c\u9700\u8981\u5148\u5b89\u88c5\u8be5\u5e93\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
2. \u8bfb\u53d6\u56fe\u7247<\/h4>\n<\/p>\n
\u4f7f\u7528Pillow\u5e93\u8bfb\u53d6\u56fe\u7247\u975e\u5e38\u7b80\u5355\uff0c\u53ef\u4ee5\u901a\u8fc7Image\u6a21\u5757\u8bfb\u53d6\u56fe\u7247\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
from PIL import Image<\/p>\n
\u6253\u5f00\u56fe\u7247<\/strong><\/h2>\n
image = Image.open('path_to_your_image.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u83b7\u53d6\u56fe\u7247\u50cf\u7d20<\/h4>\n<\/p>\n
Pillow\u5e93\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u5f0f\u83b7\u53d6\u56fe\u7247\u50cf\u7d20\uff0c\u53ef\u4ee5\u9010\u4e2a\u50cf\u7d20\u8bfb\u53d6\uff0c\u4e5f\u53ef\u4ee5\u5c06\u56fe\u7247\u8f6c\u6362\u4e3a\u50cf\u7d20\u77e9\u9635\u3002\u4e0b\u9762\u4ecb\u7ecd\u4e24\u79cd\u5e38\u7528\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
\u9010\u4e2a\u50cf\u7d20\u8bfb\u53d6<\/h5>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528getpixel<\/code>\u65b9\u6cd5\u9010\u4e2a\u50cf\u7d20\u8bfb\u53d6\u56fe\u7247\u7684RGB\u503c\uff1a<\/p>\n<\/p>\n
width, height = image.size<\/p>\n
pixels = []<\/p>\n
for y in range(height):<\/p>\n
    for x in range(width):<\/p>\n
        pixel = image.getpixel((x, y))<\/p>\n
        pixels.append(pixel)<\/p>\n
print(pixels)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f6c\u6362\u4e3a\u50cf\u7d20\u77e9\u9635<\/h5>\n<\/p>\n
\u4f7f\u7528load<\/code>\u65b9\u6cd5\u5c06\u56fe\u7247\u8f6c\u6362\u4e3a\u50cf\u7d20\u77e9\u9635\uff0c\u53ef\u4ee5\u66f4\u9ad8\u6548\u5730\u8bbf\u95ee\u50cf\u7d20\u6570\u636e\uff1a<\/p>\n<\/p>\n
pixel_matrix = image.load()<\/p>\n
width, height = image.size<\/p>\n
pixels = []<\/p>\n
for y in range(height):<\/p>\n
    for x in range(width):<\/p>\n
        pixel = pixel_matrix[x, y]<\/p>\n
        pixels.append(pixel)<\/p>\n
print(pixels)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528Numpy\u5e93\u83b7\u53d6\u56fe\u7247\u50cf\u7d20<\/h3>\n<\/p>\n
Numpy\u662fPython\u79d1\u5b66\u8ba1\u7b97\u7684\u57fa\u7840\u5e93\uff0c\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u6570\u7ec4\u548c\u77e9\u9635\u64cd\u4f5c\u529f\u80fd\u3002\u7ed3\u5408Pillow\u5e93\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u56fe\u7247\u8f6c\u6362\u4e3aNumpy\u6570\u7ec4\uff0c\u4ece\u800c\u83b7\u53d6\u56fe\u7247\u50cf\u7d20\u3002<\/p>\n<\/p>\n
1. \u5b89\u88c5Numpy\u5e93<\/h4>\n<\/p>\n
\u5982\u679c\u5c1a\u672a\u5b89\u88c5Numpy\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install numpy<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u8bfb\u53d6\u56fe\u7247\u5e76\u8f6c\u6362\u4e3aNumpy\u6570\u7ec4<\/h4>\n<\/p>\n
\u4f7f\u7528Pillow\u5e93\u8bfb\u53d6\u56fe\u7247\u540e\uff0c\u53ef\u4ee5\u76f4\u63a5\u5c06\u56fe\u7247\u8f6c\u6362\u4e3aNumpy\u6570\u7ec4\uff1a<\/p>\n<\/p>\n
from PIL import Image<\/p>\n
import numpy as np<\/p>\n
\u6253\u5f00\u56fe\u7247<\/strong><\/h2>\n
image = Image.open('path_to_your_image.jpg')<\/p>\n
\u5c06\u56fe\u7247\u8f6c\u6362\u4e3aNumpy\u6570\u7ec4<\/strong><\/h2>\n
image_array = np.array(image)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u83b7\u53d6\u56fe\u7247\u50cf\u7d20<\/h4>\n<\/p>\n
Numpy\u6570\u7ec4\u672c\u8eab\u5c31\u662f\u56fe\u7247\u7684\u50cf\u7d20\u77e9\u9635\uff0c\u53ef\u4ee5\u76f4\u63a5\u8bbf\u95ee\u50cf\u7d20\u6570\u636e\uff1a<\/p>\n<\/p>\n
height, width, channels = image_array.shape<\/p>\n
pixels = []<\/p>\n
for y in range(height):<\/p>\n
    for x in range(width):<\/p>\n
        pixel = image_array[y, x]<\/p>\n
        pixels.append(pixel)<\/p>\n
print(pixels)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u5e94\u7528\u573a\u666f\u548c\u6027\u80fd\u6bd4\u8f83<\/h3>\n<\/p>\n
1. \u5e94\u7528\u573a\u666f<\/h4>\n<\/p>\n