{"id":966114,"date":"2024-12-27T04:44:30","date_gmt":"2024-12-26T20:44:30","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/966114.html"},"modified":"2024-12-27T04:44:33","modified_gmt":"2024-12-26T20:44:33","slug":"python%e5%a6%82%e4%bd%95%e5%ae%9e%e7%8e%b0%e8%af%bb%e5%8f%96%e5%9b%be%e7%89%87","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/966114.html","title":{"rendered":"python\u5982\u4f55\u5b9e\u73b0\u8bfb\u53d6\u56fe\u7247"},"content":{"rendered":"

\"python\u5982\u4f55\u5b9e\u73b0\u8bfb\u53d6\u56fe\u7247\"<\/p>\n

Python\u8bfb\u53d6\u56fe\u7247\u7684\u5b9e\u73b0\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u5e93\u6765\u5b8c\u6210\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528PIL\u5e93\u3001OpenCV\u5e93\u3001\u4ee5\u53caMatplotlib\u5e93\u3002\u8fd9\u4e9b\u5e93\u5404\u6709\u7279\u70b9\uff0cPIL\u5e93\uff08\u5373Pillow\uff09\u63d0\u4f9b\u4e86\u7b80\u5355\u7684\u63a5\u53e3\u5e76\u652f\u6301\u591a\u79cd\u56fe\u7247\u683c\u5f0f\u3001OpenCV\u5e93\u5219\u9002\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u4efb\u52a1\u3001Matplotlib\u5e93\u5219\u53ef\u4ee5\u7528\u4e8e\u7b80\u5355\u7684\u56fe\u50cf\u5c55\u793a\u3002\u5728\u8fd9\u4e9b\u65b9\u6cd5\u4e2d\uff0c\u4f7f\u7528PIL\u5e93\u662f\u6700\u7b80\u5355\u7684\uff0c\u9002\u5408\u5927\u591a\u6570\u65e5\u5e38\u56fe\u7247\u8bfb\u53d6\u4efb\u52a1\u3002<\/strong>PIL\u5e93\u6613\u4e8e\u4f7f\u7528\uff0c\u5e76\u4e14\u652f\u6301\u591a\u79cd\u56fe\u7247\u683c\u5f0f\uff0c\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002<\/p>\n<\/p>\n

\u4e00\u3001PIL\u5e93\uff08Pillow\uff09\u8bfb\u53d6\u56fe\u7247<\/p>\n<\/p>\n

Pillow\u662fPython Imaging Library\uff08PIL\uff09\u7684\u4e00\u4e2a\u53cb\u597d\u5206\u652f\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u80fd\u529b\u3002\u8981\u4f7f\u7528Pillow\u8bfb\u53d6\u56fe\u7247\uff0c\u9700\u8981\u9996\u5148\u5b89\u88c5\u5b83\uff1a<\/p>\n<\/p>\n

pip install Pillow<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6765\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u7247\uff1a<\/p>\n<\/p>\n
from PIL import Image<\/p>\n
\u8bfb\u53d6\u56fe\u7247<\/strong><\/h2>\n
image = Image.open('path_to_image.jpg')<\/p>\n
\u663e\u793a\u56fe\u7247<\/strong><\/h2>\n
image.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
Pillow\u4e0d\u4ec5\u53ef\u4ee5\u8bfb\u53d6\u56fe\u7247\uff0c\u8fd8\u53ef\u4ee5\u8fdb\u884c\u56fe\u50cf\u7684\u88c1\u526a\u3001\u65cb\u8f6c\u3001\u8f6c\u6362\u7b49\u64cd\u4f5c\u3002\u5b83\u652f\u6301\u591a\u79cd\u56fe\u50cf\u683c\u5f0f\uff0c\u5982JPEG\u3001PNG\u3001BMP\u7b49\u3002\u4f7f\u7528Pillow\u8bfb\u53d6\u56fe\u7247\uff0c\u6700\u5927\u7684\u4f18\u70b9\u662f\u5176\u7b80\u5355\u6613\u7528\u7684\u63a5\u53e3\u548c\u5bf9\u591a\u79cd\u683c\u5f0f\u7684\u5e7f\u6cdb\u652f\u6301\u3002<\/strong><\/p>\n<\/p>\n
\u4e8c\u3001OpenCV\u5e93\u8bfb\u53d6\u56fe\u7247<\/p>\n<\/p>\n
OpenCV\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u3002\u8981\u4f7f\u7528OpenCV\u8bfb\u53d6\u56fe\u7247\uff0c\u9700\u8981\u5148\u5b89\u88c5OpenCV\u5e93\uff1a<\/p>\n<\/p>\n
pip install opencv-python<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6765\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u7247\uff1a<\/p>\n<\/p>\n
import cv2<\/p>\n
\u8bfb\u53d6\u56fe\u7247<\/strong><\/h2>\n
image = cv2.imread('path_to_image.jpg')<\/p>\n
\u663e\u793a\u56fe\u7247<\/strong><\/h2>\n
cv2.imshow('Image', image)<\/p>\n
cv2.wAI<\/a>tKey(0)<\/p>\n
cv2.destroyAllWindows()<\/p>\n
<\/code><\/pre>\n<\/p>\n
OpenCV\u4e0d\u4ec5\u53ef\u4ee5\u8bfb\u53d6\u56fe\u7247\uff0c\u8fd8\u53ef\u4ee5\u8fdb\u884c\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406\u4efb\u52a1\uff0c\u5982\u8fb9\u7f18\u68c0\u6d4b\u3001\u7279\u5f81\u63d0\u53d6\u7b49\u3002\u5b83\u652f\u6301\u591a\u79cd\u56fe\u50cf\u683c\u5f0f\uff0c\u5e76\u4e14\u80fd\u591f\u76f4\u63a5\u4e0e\u6444\u50cf\u5934\u8fdb\u884c\u4ea4\u4e92\u3002OpenCV\u7684\u5f3a\u5927\u4e4b\u5904\u5728\u4e8e\u5176\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u548c\u9ad8\u6548\u7684\u5904\u7406\u901f\u5ea6\u3002<\/strong><\/p>\n<\/p>\n
\u4e09\u3001Matplotlib\u5e93\u8bfb\u53d6\u56fe\u7247<\/p>\n<\/p>\n
Matplotlib\u662f\u4e00\u4e2a\u7528\u4e8e\u7ed8\u5236\u9759\u6001\u3001\u52a8\u6001\u548c\u4ea4\u4e92\u5f0f\u56fe\u5f62\u7684Python\u5e93\u3002\u867d\u7136\u5b83\u4e3b\u8981\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\uff0c\u4f46\u4e5f\u53ef\u4ee5\u7528\u4e8e\u7b80\u5355\u7684\u56fe\u50cf\u8bfb\u53d6\u548c\u5c55\u793a\u3002\u8981\u4f7f\u7528Matplotlib\u8bfb\u53d6\u56fe\u7247\uff0c\u9700\u8981\u5148\u5b89\u88c5Matplotlib\u5e93\uff1a<\/p>\n<\/p>\n
pip install matplotlib<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6765\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u7247\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import matplotlib.image as mpimg<\/p>\n
\u8bfb\u53d6\u56fe\u7247<\/strong><\/h2>\n
image = mpimg.imread('path_to_image.jpg')<\/p>\n
\u663e\u793a\u56fe\u7247<\/strong><\/h2>\n
plt.imshow(image)<\/p>\n
plt.axis('off')  # \u5173\u95ed\u5750\u6807\u8f74<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
Matplotlib\u7684\u4f18\u52bf\u5728\u4e8e\u5176\u5f3a\u5927\u7684\u7ed8\u56fe\u529f\u80fd\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5bf9\u56fe\u50cf\u8fdb\u884c\u53ef\u89c6\u5316\u5904\u7406\u3002\u867d\u7136Matplotlib\u4e0d\u662f\u4e13\u95e8\u4e3a\u56fe\u50cf\u5904\u7406\u8bbe\u8ba1\u7684\uff0c\u4f46\u5b83\u80fd\u591f\u63d0\u4f9b\u7b80\u5355\u3001\u76f4\u89c2\u7684\u56fe\u50cf\u5c55\u793a\u529f\u80fd\u3002<\/strong><\/p>\n<\/p>\n
\u56db\u3001\u9009\u62e9\u9002\u5408\u7684\u5e93<\/p>\n<\/p>\n
\u5728\u9009\u62e9\u7528\u4e8e\u8bfb\u53d6\u56fe\u7247\u7684\u5e93\u65f6\uff0c\u8003\u8651\u4ee5\u4e0b\u56e0\u7d20\uff1a<\/p>\n<\/p>\n
    \n
  1. \n
    \u4efb\u52a1\u9700\u6c42<\/strong>\uff1a\u5982\u679c\u53ea\u662f\u7b80\u5355\u7684\u56fe\u50cf\u8bfb\u53d6\u548c\u5c55\u793a\uff0cPillow\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\uff1b\u5982\u679c\u9700\u8981\u8fdb\u884c\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406\uff0cOpenCV\u5219\u66f4\u4e3a\u5408\u9002\u3002<\/p>\n<\/p>\n<\/li>\n
  2. \n
    \u56fe\u50cf\u683c\u5f0f<\/strong>\uff1a\u786e\u4fdd\u6240\u9009\u5e93\u652f\u6301\u60a8\u8981\u8bfb\u53d6\u7684\u56fe\u50cf\u683c\u5f0f\u3002<\/p>\n<\/p>\n<\/li>\n
  3. \n
    \u6027\u80fd\u8981\u6c42<\/strong>\uff1a\u5bf9\u4e8e\u5927\u89c4\u6a21\u7684\u56fe\u50cf\u5904\u7406\u4efb\u52a1\uff0cOpenCV\u901a\u5e38\u6bd4Pillow\u548cMatplotlib\u66f4\u9ad8\u6548\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
    \u4e94\u3001\u7ed3\u5408\u4f7f\u7528\u591a\u4e2a\u5e93<\/p>\n<\/p>\n
    \u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u7ed3\u5408\u4f7f\u7528\u591a\u4e2a\u5e93\u7684\u529f\u80fd\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528OpenCV\u8bfb\u53d6\u548c\u5904\u7406\u56fe\u50cf\uff0c\u7136\u540e\u4f7f\u7528Matplotlib\u8fdb\u884c\u53ef\u89c6\u5316\u5c55\u793a\uff1a<\/p>\n<\/p>\n
    import cv2<\/p>\n
    import matplotlib.pyplot as plt<\/p>\n
    \u4f7f\u7528OpenCV\u8bfb\u53d6\u56fe\u7247<\/strong><\/h2>\n
    image = cv2.imread('path_to_image.jpg')<\/p>\n
    \u5c06BGR\u683c\u5f0f\u8f6c\u6362\u4e3aRGB\u683c\u5f0f<\/strong><\/h2>\n
    image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)<\/p>\n
    \u4f7f\u7528Matplotlib\u663e\u793a\u56fe\u7247<\/strong><\/h2>\n
    plt.imshow(image_rgb)<\/p>\n
    plt.axis('off')<\/p>\n
    plt.show()<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u5145\u5206\u5229\u7528\u6bcf\u4e2a\u5e93\u7684\u4f18\u52bf\uff0c\u5b8c\u6210\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406\u548c\u5c55\u793a\u4efb\u52a1\u3002<\/p>\n<\/p>\n
    \u516d\u3001\u5176\u4ed6\u56fe\u50cf\u5904\u7406\u5e93<\/p>\n<\/p>\n
    \u9664\u4e86\u4e0a\u8ff0\u4e09\u4e2a\u5e38\u7528\u5e93\u5916\uff0c\u8fd8\u6709\u4e00\u4e9b\u5176\u4ed6\u5e93\u53ef\u4ee5\u7528\u4e8e\u56fe\u50cf\u8bfb\u53d6\u548c\u5904\u7406\uff1a<\/p>\n<\/p>\n
      \n
    1. \n
      Scikit-image<\/strong>\uff1a\u4e00\u4e2a\u57fa\u4e8eNumPy\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e00\u4e9b\u9ad8\u7ea7\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u5982\u56fe\u50cf\u5206\u5272\u3001\u51e0\u4f55\u53d8\u6362\u7b49\u3002<\/p>\n<\/p>\n<\/li>\n
    2. \n
      Imageio<\/strong>\uff1a\u4e00\u4e2a\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165\u56fe\u50cf\u7684\u5e93\uff0c\u652f\u6301\u591a\u79cd\u56fe\u50cf\u683c\u5f0f\uff0c\u5e76\u4e14\u53ef\u4ee5\u4e0ePillow\u3001OpenCV\u7b49\u5e93\u7ed3\u5408\u4f7f\u7528\u3002<\/p>\n<\/p>\n<\/li>\n
    3. \n
      TensorFlow\u548cPyTorch<\/strong>\uff1a\u8fd9\u4e24\u4e2a\u673a\u5668\u5b66\u4e60<\/a>\u6846\u67b6\u4e5f\u63d0\u4f9b\u4e86\u56fe\u50cf\u5904\u7406\u7684\u5de5\u5177\uff0c\u5c24\u5176\u662f\u5728\u6df1\u5ea6\u5b66\u4e60\u56fe\u50cf\u5904\u7406\u4efb\u52a1\u4e2d\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
      \u603b\u7ed3\u6765\u8bf4\uff0cPython\u63d0\u4f9b\u4e86\u591a\u79cd\u8bfb\u53d6\u56fe\u7247\u7684\u65b9\u5f0f\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\u3002\u5728\u8fdb\u884c\u56fe\u50cf\u5904\u7406\u4efb\u52a1\u65f6\uff0c\u5145\u5206\u4e86\u89e3\u6bcf\u4e2a\u5e93\u7684\u7279\u70b9\u548c\u4f18\u52bf\uff0c\u53ef\u4ee5\u5e2e\u52a9\u60a8\u66f4\u9ad8\u6548\u5730\u5b8c\u6210\u5de5\u4f5c\u3002<\/p>\n<\/p>\n
      \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
       \u5982\u4f55\u5728Python\u4e2d\u6253\u5f00\u548c\u663e\u793a\u56fe\u7247\uff1f<\/strong>
      \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528PIL<\/code>\uff08Python Imaging Library\uff09\u6216\u5176\u5206\u652fPillow<\/code>\u5e93\u6765\u6253\u5f00\u548c\u663e\u793a\u56fe\u7247\u3002\u9996\u5148\uff0c\u9700\u8981\u5b89\u88c5Pillow<\/code>\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4pip install Pillow<\/code>\u8fdb\u884c\u5b89\u88c5\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u4ee3\u7801\uff1a  <\/p>\n
      from PIL import Image\nimport matplotlib.pyplot as plt\n\n# \u6253\u5f00\u56fe\u7247\nimg = Image.open('your_image.jpg')\n\n# \u663e\u793a\u56fe\u7247\nplt.imshow(img)\nplt.axis('off')  # \u4e0d\u663e\u793a\u5750\u6807\u8f74\nplt.show()\n<\/code><\/pre>\n
      \u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u7528\u6237\u53ef\u4ee5\u65b9\u4fbf\u5730\u6253\u5f00\u5e76\u67e5\u770b\u56fe\u7247\u3002<\/p>\n
      Python\u53ef\u4ee5\u8bfb\u53d6\u54ea\u4e9b\u683c\u5f0f\u7684\u56fe\u7247\uff1f<\/strong>
      Python\u7684Pillow<\/code>\u5e93\u652f\u6301\u591a\u79cd\u56fe\u7247\u683c\u5f0f\uff0c\u5305\u62ec\u4f46\u4e0d\u9650\u4e8eJPEG\u3001PNG\u3001GIF\u3001BMP\u3001TIFF\u7b49\u3002\u4f7f\u7528Image.open()<\/code>\u51fd\u6570\u53ef\u4ee5\u8bfb\u53d6\u8fd9\u4e9b\u683c\u5f0f\u7684\u6587\u4ef6\u3002\u5728\u8bfb\u53d6\u6587\u4ef6\u4e4b\u524d\uff0c\u8bf7\u786e\u4fdd\u6587\u4ef6\u8def\u5f84\u548c\u683c\u5f0f\u6b63\u786e\uff0c\u4ee5\u907f\u514d\u51fa\u73b0\u8bfb\u53d6\u9519\u8bef\u3002<\/p>\n
      \u5982\u4f55\u5728Python\u4e2d\u5904\u7406\u8bfb\u53d6\u7684\u56fe\u7247\u6570\u636e\uff1f<\/strong>
      \u8bfb\u53d6\u56fe\u7247\u540e\uff0c\u60a8\u53ef\u80fd\u5e0c\u671b\u5bf9\u5176\u8fdb\u884c\u5904\u7406\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528Pillow<\/code>\u5e93\u8fdb\u884c\u88c1\u526a\u3001\u8c03\u6574\u5927\u5c0f\u3001\u65cb\u8f6c\u7b49\u64cd\u4f5c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u6f14\u793a\u5982\u4f55\u8c03\u6574\u56fe\u7247\u7684\u5927\u5c0f\uff1a  <\/p>\n
      # \u8c03\u6574\u56fe\u7247\u5927\u5c0f\nimg_resized = img.resize((100, 100))  # \u5c06\u56fe\u7247\u8c03\u6574\u4e3a100x100\u50cf\u7d20\nimg_resized.show()\n<\/code><\/pre>\n
      \u8fd9\u79cd\u65b9\u5f0f\u5141\u8bb8\u7528\u6237\u7075\u6d3b\u5730\u64cd\u4f5c\u56fe\u7247\u6570\u636e\uff0c\u4ee5\u6ee1\u8db3\u4e0d\u540c\u7684\u9700\u6c42\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u8bfb\u53d6\u56fe\u7247\u7684\u5b9e\u73b0\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u5e93\u6765\u5b8c\u6210\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528PIL\u5e93\u3001OpenCV\u5e93\u3001\u4ee5\u53caMatplo […]","protected":false},"author":3,"featured_media":966124,"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\/966114"}],"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=966114"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/966114\/revisions"}],"predecessor-version":[{"id":966126,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/966114\/revisions\/966126"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/966124"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=966114"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=966114"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=966114"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}