{"id":1012299,"date":"2024-12-27T11:37:40","date_gmt":"2024-12-27T03:37:40","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1012299.html"},"modified":"2024-12-27T11:37:45","modified_gmt":"2024-12-27T03:37:45","slug":"%e7%bc%96%e7%a8%8bpython%e5%a6%82%e4%bd%95%e5%af%bc%e5%87%ba%e5%9b%be%e7%89%87","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1012299.html","title":{"rendered":"\u7f16\u7a0bPython\u5982\u4f55\u5bfc\u51fa\u56fe\u7247"},"content":{"rendered":"

\"\u7f16\u7a0bPython\u5982\u4f55\u5bfc\u51fa\u56fe\u7247\"<\/p>\n

\u5728Python\u4e2d\u5bfc\u51fa\u56fe\u7247\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5b9e\u73b0\uff0c\u5305\u62ec\u4f7f\u7528PIL\u5e93\u3001Matplotlib\u5e93\u3001OpenCV\u5e93\u7b49\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u52bf\uff0c\u5982PIL\u9002\u5408\u5904\u7406\u57fa\u672c\u56fe\u50cf\u64cd\u4f5c\u3001Matplotlib\u7528\u4e8e\u79d1\u5b66\u7ed8\u56fe\u3001OpenCV\u9002\u5408\u590d\u6742\u56fe\u50cf\u5904\u7406\u3002\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\u53ca\u5176\u5e94\u7528\u573a\u666f\u3002<\/strong><\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528PIL\u5e93\u5bfc\u51fa\u56fe\u7247<\/p>\n<\/p>\n

PIL\uff08Python Imaging Library\uff09\u662fPython\u4e2d\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u5e93\u3002\u867d\u7136PIL\u5df2\u4e0d\u518d\u7ef4\u62a4\uff0c\u4f46\u5176\u5206\u652fPillow\u4ecd\u5728\u79ef\u6781\u66f4\u65b0\u5e76\u5e7f\u6cdb\u4f7f\u7528\u3002Pillow\u63d0\u4f9b\u4e86\u7b80\u5355\u7684\u63a5\u53e3\u7528\u4e8e\u6253\u5f00\u3001\u64cd\u4f5c\u548c\u4fdd\u5b58\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u50cf\u3002<\/p>\n<\/p>\n

    \n
  1. \u5b89\u88c5\u4e0e\u57fa\u672c\u4f7f\u7528<\/li>\n<\/ol>\n

    \u8981\u4f7f\u7528Pillow\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5\u8be5\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7pip\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\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5bfc\u5165\u5e93\u5e76\u6253\u5f00\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
    from PIL import Image<\/p>\n
    \u6253\u5f00\u4e00\u4e2a\u56fe\u50cf\u6587\u4ef6<\/strong><\/h2>\n
    image = Image.open('example.jpg')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \u5bfc\u51fa\u56fe\u7247<\/li>\n<\/ol>\n
      Pillow\u63d0\u4f9b\u4e86\u7b80\u5355\u7684\u56fe\u50cf\u4fdd\u5b58\u65b9\u6cd5\u3002\u53ef\u4ee5\u5c06\u56fe\u50cf\u4fdd\u5b58\u4e3a\u591a\u79cd\u683c\u5f0f\uff0c\u5982JPEG\u3001PNG\u7b49\uff1a<\/p>\n<\/p>\n
      # \u4fdd\u5b58\u56fe\u50cf<\/p>\n
      image.save('output_image.png')<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u6b64\u5916\uff0cPillow\u8fd8\u652f\u6301\u8c03\u6574\u56fe\u50cf\u7684\u8d28\u91cf\u3001\u538b\u7f29\u7b49\u7ea7\u7b49\u53c2\u6570\uff1a<\/p>\n<\/p>\n
      # \u4fdd\u5b58\u56fe\u50cf\uff0c\u5e76\u6307\u5b9aJPEG\u8d28\u91cf<\/p>\n
      image.save('output_image.jpg', quality=90)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u4e8c\u3001\u4f7f\u7528Matplotlib\u5e93\u5bfc\u51fa\u56fe\u7247<\/p>\n<\/p>\n
      Matplotlib\u662fPython\u4e2d\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\u7684\u7ed8\u56fe\u5e93\uff0c\u5c24\u5176\u9002\u5408\u79d1\u5b66\u8ba1\u7b97\u4e2d\u7684\u56fe\u5f62\u7ed8\u5236\u3002\u5b83\u53ef\u4ee5\u751f\u6210\u9ad8\u8d28\u91cf\u7684\u56fe\u5f62\u5e76\u652f\u6301\u591a\u79cd\u8f93\u51fa\u683c\u5f0f\u3002<\/p>\n<\/p>\n
        \n
      1. \u5b89\u88c5\u4e0e\u57fa\u672c\u4f7f\u7528<\/li>\n<\/ol>\n
        Matplotlib\u53ef\u4ee5\u901a\u8fc7pip\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
        pip install matplotlib<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5b89\u88c5\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u7ed8\u5236\u7b80\u5355\u7684\u56fe\u5f62\u5e76\u4fdd\u5b58\u4e3a\u56fe\u7247\uff1a<\/p>\n<\/p>\n
        import matplotlib.pyplot as plt<\/p>\n
        import numpy as np<\/p>\n
        \u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
        x = np.linspace(0, 10, 100)<\/p>\n
        y = np.sin(x)<\/p>\n
        \u7ed8\u5236\u56fe\u5f62<\/strong><\/h2>\n
        plt.plot(x, y)<\/p>\n
        \u4fdd\u5b58\u56fe\u5f62\u4e3a\u56fe\u7247<\/strong><\/h2>\n
        plt.savefig('plot_image.png')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
          \n
        1. \u56fe\u5f62\u683c\u5f0f\u4e0e\u914d\u7f6e<\/li>\n<\/ol>\n
          Matplotlib\u652f\u6301\u591a\u79cd\u56fe\u5f62\u683c\u5f0f\uff0c\u5982PNG\u3001PDF\u3001SVG\u7b49\u3002\u53ef\u4ee5\u901a\u8fc7savefig()<\/code>\u65b9\u6cd5\u6307\u5b9a\u683c\u5f0f\uff1a<\/p>\n<\/p>\n
          plt.savefig('plot_image.pdf', format='pdf')<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u6b64\u5916\uff0cMatplotlib\u8fd8\u5141\u8bb8\u914d\u7f6e\u56fe\u5f62\u7684\u5206\u8fa8\u7387\u3001\u80cc\u666f\u8272\u7b49\u53c2\u6570\uff1a<\/p>\n<\/p>\n
          plt.savefig('plot_image.png', dpi=300, bbox_inches='tight', transparent=True)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u4e09\u3001\u4f7f\u7528OpenCV\u5e93\u5bfc\u51fa\u56fe\u7247<\/p>\n<\/p>\n
          OpenCV\uff08Open Source Computer Vision Library\uff09\u662f\u4e00\u4e2a\u5f00\u6e90\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u673a\u5668\u5b66\u4e60<\/a>\u8f6f\u4ef6\u5e93\uff0c\u9002\u5408\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406\u4efb\u52a1\u3002OpenCV\u5728Python\u4e2d\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u63a5\u53e3\uff0c\u7528\u4e8e\u56fe\u50cf\u7684\u8bfb\u53d6\u3001\u5904\u7406\u548c\u4fdd\u5b58\u3002<\/p>\n<\/p>\n
            \n
          1. \u5b89\u88c5\u4e0e\u57fa\u672c\u4f7f\u7528<\/li>\n<\/ol>\n
            OpenCV\u53ef\u4ee5\u901a\u8fc7pip\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
            pip install opencv-python<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u5b89\u88c5\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7OpenCV\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
            import cv2<\/p>\n
            \u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n
            image = cv2.imread('example.jpg')<\/p>\n
            \u663e\u793a\u56fe\u50cf<\/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
              \n
            1. \u5bfc\u51fa\u56fe\u7247<\/li>\n<\/ol>\n
              OpenCV\u63d0\u4f9b\u4e86imwrite()<\/code>\u51fd\u6570\u7528\u4e8e\u4fdd\u5b58\u56fe\u50cf\u3002\u53ef\u4ee5\u5c06\u56fe\u50cf\u4fdd\u5b58\u4e3a\u591a\u79cd\u683c\u5f0f\uff1a<\/p>\n<\/p>\n
              # \u4fdd\u5b58\u56fe\u50cf<\/p>\n
              cv2.imwrite('output_image.png', image)<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u6b64\u5916\uff0cOpenCV\u5141\u8bb8\u5728\u4fdd\u5b58\u56fe\u50cf\u65f6\u8c03\u6574\u538b\u7f29\u53c2\u6570\u3002\u4f8b\u5982\uff0c\u4fdd\u5b58JPEG\u56fe\u50cf\u65f6\u53ef\u4ee5\u8bbe\u7f6e\u8d28\u91cf\u53c2\u6570\uff1a<\/p>\n<\/p>\n
              # \u4fdd\u5b58\u56fe\u50cf\uff0c\u5e76\u8bbe\u7f6eJPEG\u8d28\u91cf<\/p>\n
              cv2.imwrite('output_image.jpg', image, [int(cv2.IMWRITE_JPEG_QUALITY), 90])<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u56db\u3001\u5176\u4ed6\u56fe\u50cf\u5904\u7406\u5e93<\/p>\n<\/p>\n
              \u9664\u4e86\u4e0a\u8ff0\u5e38\u7528\u5e93\uff0cPython\u4e2d\u8fd8\u6709\u5176\u4ed6\u4e00\u4e9b\u5e93\u53ef\u4ee5\u7528\u4e8e\u56fe\u50cf\u5bfc\u51fa\uff0c\u5982Scikit-Image\u3001Seaborn\u7b49\u3002\u867d\u7136\u8fd9\u4e9b\u5e93\u4e0d\u662f\u4e13\u95e8\u7528\u4e8e\u56fe\u50cf\u4fdd\u5b58\uff0c\u4f46\u5728\u7279\u5b9a\u573a\u666f\u4e0b\u53ef\u4ee5\u63d0\u4f9b\u989d\u5916\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n
                \n
              1. Scikit-Image<\/li>\n<\/ol>\n
                Scikit-Image\u662f\u4e00\u4e2a\u57fa\u4e8eSciPy\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u9002\u5408\u79d1\u5b66\u8ba1\u7b97\u4e2d\u7684\u56fe\u50cf\u5904\u7406\u4efb\u52a1\u3002\u5c3d\u7ba1\u5176\u4e3b\u8981\u529f\u80fd\u4e0d\u5728\u4e8e\u4fdd\u5b58\u56fe\u50cf\uff0c\u4f46\u7ed3\u5408\u5176\u4ed6\u5e93\u53ef\u4ee5\u5b9e\u73b0\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406\u548c\u5bfc\u51fa\u3002<\/p>\n<\/p>\n
                  \n
                1. Seaborn<\/li>\n<\/ol>\n
                  Seaborn\u662f\u57fa\u4e8eMatplotlib\u7684\u7edf\u8ba1\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u9002\u5408\u7ed8\u5236\u590d\u6742\u7684\u7edf\u8ba1\u56fe\u5f62\u3002\u901a\u8fc7Seaborn\u7ed8\u5236\u7684\u56fe\u5f62\u540c\u6837\u53ef\u4ee5\u4f7f\u7528Matplotlib\u7684savefig()<\/code>\u65b9\u6cd5\u4fdd\u5b58\u4e3a\u56fe\u7247\u3002<\/p>\n<\/p>\n
                  \u603b\u7ed3<\/p>\n<\/p>\n
                  \u5728Python\u4e2d\uff0c\u5bfc\u51fa\u56fe\u7247\u7684\u65b9\u6cd5\u591a\u79cd\u591a\u6837\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u9700\u6c42\u3002\u5bf9\u4e8e\u7b80\u5355\u7684\u56fe\u50cf\u4fdd\u5b58\u4efb\u52a1\uff0cPillow\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\uff1b\u5bf9\u4e8e\u79d1\u5b66\u7ed8\u56fe\u548c\u6570\u636e\u53ef\u89c6\u5316\uff0cMatplotlib\u662f\u9996\u9009\uff1b\u800c\u5bf9\u4e8e\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406\u4efb\u52a1\uff0cOpenCV\u65e0\u7591\u662f\u6700\u4f73\u9009\u62e9\u3002\u901a\u8fc7\u5408\u7406\u9009\u62e9\u548c\u914d\u7f6e\u8fd9\u4e9b\u5de5\u5177\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u5b8c\u6210\u5404\u79cd\u56fe\u50cf\u5bfc\u51fa\u4efb\u52a1\u3002<\/p>\n<\/p>\n
                  \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                   \u5728Python\u4e2d\uff0c\u6709\u54ea\u4e9b\u5e93\u53ef\u4ee5\u7528\u6765\u5bfc\u51fa\u56fe\u7247\uff1f<\/strong>
                  Python\u63d0\u4f9b\u4e86\u591a\u79cd\u5e93\u6765\u5bfc\u51fa\u56fe\u7247\uff0c\u5e38\u7528\u7684\u5305\u62ecPIL\uff08Pillow\uff09\u3001OpenCV\u548cMatplotlib\u7b49\u3002PIL\u662f\u5904\u7406\u56fe\u50cf\u7684\u57fa\u7840\u5e93\uff0c\u652f\u6301\u591a\u79cd\u683c\u5f0f\u7684\u56fe\u7247\u5bfc\u5165\u548c\u5bfc\u51fa\u3002OpenCV\u5219\u66f4\u9002\u5408\u4e8e\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\uff0c\u80fd\u591f\u5904\u7406\u89c6\u9891\u548c\u56fe\u50cf\u7684\u5404\u79cd\u64cd\u4f5c\u3002Matplotlib\u5219\u4e3b\u8981\u7528\u4e8e\u7ed8\u56fe\uff0c\u4f46\u4e5f\u53ef\u4ee5\u5c06\u56fe\u5f62\u5bfc\u51fa\u4e3a\u56fe\u7247\u683c\u5f0f\u3002<\/p>\n
                  \u5982\u4f55\u4f7f\u7528Pillow\u5e93\u5bfc\u51fa\u56fe\u7247\uff1f<\/strong>
                  \u4f7f\u7528Pillow\u5e93\u5bfc\u51fa\u56fe\u7247\u975e\u5e38\u7b80\u5355\u3002\u9996\u5148\uff0c\u9700\u5b89\u88c5\u8be5\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4pip install Pillow<\/code>\u8fdb\u884c\u5b89\u88c5\u3002\u63a5\u7740\uff0c\u4f7f\u7528Image<\/code>\u6a21\u5757\u6253\u5f00\u548c\u5904\u7406\u56fe\u50cf\uff0c\u7136\u540e\u8c03\u7528save()<\/code>\u65b9\u6cd5\u5c06\u5176\u5bfc\u51fa\u4e3a\u6240\u9700\u683c\u5f0f\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u5c06\u56fe\u50cf\u4fdd\u5b58\u4e3aJPEG\u683c\u5f0f\uff1a<\/p>\n
                  from PIL import Image\nimage = Image.open('example.png')\nimage.save('output.jpg', 'JPEG')\n<\/code><\/pre>\n
                  \u5728\u5bfc\u51fa\u56fe\u7247\u65f6\uff0c\u6709\u54ea\u4e9b\u5e38\u89c1\u7684\u683c\u5f0f\u53ef\u4ee5\u9009\u62e9\uff1f<\/strong>
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