{"id":1148037,"date":"2025-01-13T16:32:18","date_gmt":"2025-01-13T08:32:18","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1148037.html"},"modified":"2025-01-13T16:32:20","modified_gmt":"2025-01-13T08:32:20","slug":"python%e5%a6%82%e4%bd%95%e5%88%9b%e5%bb%bajpg-%e6%96%87%e4%bb%b6","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1148037.html","title":{"rendered":"python\u5982\u4f55\u521b\u5efajpg \u6587\u4ef6"},"content":{"rendered":"

\"python\u5982\u4f55\u521b\u5efajpg<\/p>\n

\u4e00\u3001Python\u5982\u4f55\u521b\u5efaJPG\u6587\u4ef6<\/p>\n<\/p>\n

Python\u521b\u5efaJPG\u6587\u4ef6\u7684\u65b9\u6cd5\u4e3b\u8981\u6709\u4ee5\u4e0b\u51e0\u79cd\uff1a\u4f7f\u7528Pillow\u5e93\u3001\u4f7f\u7528matplotlib\u5e93\u3001\u4f7f\u7528OpenCV\u5e93<\/strong>\u3002\u5176\u4e2d\uff0cPillow\u5e93<\/strong>\u662f\u6700\u5e38\u7528\u548c\u6700\u7b80\u5355\u7684\u65b9\u6cd5\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7Pillow\u5e93\u7684Image\u6a21\u5757\u521b\u5efa\u56fe\u50cf\u6587\u4ef6\u5e76\u4fdd\u5b58\u4e3aJPG\u683c\u5f0f\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Pillow\u5e93\u521b\u5efaJPG\u6587\u4ef6\u3002<\/p>\n<\/p>\n

\u4f7f\u7528Pillow\u5e93\u521b\u5efaJPG\u6587\u4ef6<\/h3>\n<\/p>\n

Pillow\u662fPython Imaging Library\uff08PIL\uff09\u7684\u5206\u652f\u548c\u5347\u7ea7\u7248\u672c\uff0c\u662f\u5904\u7406\u56fe\u50cf\u6587\u4ef6\u7684\u5e38\u7528\u5de5\u5177\u3002\u5b83\u652f\u6301\u521b\u5efa\u3001\u4fee\u6539\u548c\u4fdd\u5b58\u591a\u79cd\u683c\u5f0f\u7684\u56fe\u50cf\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528Pillow\u5e93\u521b\u5efaJPG\u6587\u4ef6\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n

    \n
  1. \n

    \u5b89\u88c5Pillow\u5e93\uff1a<\/p>\n<\/p>\n

    pip install pillow<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n
  2. \n
    \u4f7f\u7528Pillow\u5e93\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u56fe\u50cf\u6587\u4ef6\u5e76\u4fdd\u5b58\u4e3aJPG\u683c\u5f0f\uff1a<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
    from PIL import Image<\/p>\n
    \u521b\u5efa\u4e00\u4e2a\u7a7a\u767d\u56fe\u50cf\uff0c\u8bbe\u7f6e\u56fe\u50cf\u5927\u5c0f\u548c\u989c\u8272<\/strong><\/h2>\n
    width, height = 800, 600<\/p>\n
    color = (255, 255, 255)  # \u767d\u8272\u80cc\u666f<\/p>\n
    image = Image.new('RGB', (width, height), color)<\/p>\n
    \u4fdd\u5b58\u56fe\u50cf\u4e3aJPG\u683c\u5f0f<\/strong><\/h2>\n
    image.save('output.jpg')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165\u4e86Pillow\u5e93\u7684Image\u6a21\u5757\uff0c\u7136\u540e\u4f7f\u7528Image.new\u65b9\u6cd5\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u56fe\u50cf\u6587\u4ef6\uff0c\u8bbe\u7f6e\u56fe\u50cf\u7684\u5927\u5c0f\u548c\u989c\u8272\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528image.save\u65b9\u6cd5\u5c06\u56fe\u50cf\u4fdd\u5b58\u4e3aJPG\u683c\u5f0f\u7684\u6587\u4ef6\u3002<\/p>\n<\/p>\n
    \u4f7f\u7528matplotlib\u5e93\u521b\u5efaJPG\u6587\u4ef6<\/h3>\n<\/p>\n
    matplotlib\u662f\u4e00\u4e2a\u7ed8\u56fe\u5e93\uff0c\u5b83\u53ef\u4ee5\u7528\u4e8e\u751f\u6210\u5404\u79cd\u56fe\u8868\u548c\u56fe\u50cf\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528matplotlib\u521b\u5efa\u56fe\u50cf\u5e76\u4fdd\u5b58\u4e3aJPG\u683c\u5f0f\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528matplotlib\u5e93\u521b\u5efaJPG\u6587\u4ef6\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n
      \n
    1. \n
      \u5b89\u88c5matplotlib\u5e93\uff1a<\/p>\n<\/p>\n
      pip install matplotlib<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n
    2. \n
      \u4f7f\u7528matplotlib\u5e93\u521b\u5efa\u4e00\u4e2a\u56fe\u50cf\u6587\u4ef6\u5e76\u4fdd\u5b58\u4e3aJPG\u683c\u5f0f\uff1a<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
      import matplotlib.pyplot as plt<\/p>\n
      import numpy as np<\/p>\n
      \u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
      data = np.random.rand(100, 100)<\/p>\n
      \u521b\u5efa\u56fe\u50cf<\/strong><\/h2>\n
      plt.imshow(data, cmap='gray')<\/p>\n
      \u4fdd\u5b58\u56fe\u50cf\u4e3aJPG\u683c\u5f0f<\/strong><\/h2>\n
      plt.savefig('output.jpg', format='jpg')<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165\u4e86matplotlib\u5e93\u7684pyplot\u6a21\u5757\uff0c\u7136\u540e\u4f7f\u7528numpy\u751f\u6210\u4e00\u4e9b\u968f\u673a\u6570\u636e\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u4f7f\u7528plt.imshow\u65b9\u6cd5\u663e\u793a\u6570\u636e\uff0c\u5e76\u4f7f\u7528plt.savefig\u65b9\u6cd5\u5c06\u56fe\u50cf\u4fdd\u5b58\u4e3aJPG\u683c\u5f0f\u7684\u6587\u4ef6\u3002<\/p>\n<\/p>\n
      \u4f7f\u7528OpenCV\u5e93\u521b\u5efaJPG\u6587\u4ef6<\/h3>\n<\/p>\n
      OpenCV\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u5b83\u53ef\u4ee5\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u3001\u89c6\u9891\u6355\u6349\u548c\u5206\u6790\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528OpenCV\u521b\u5efa\u56fe\u50cf\u5e76\u4fdd\u5b58\u4e3aJPG\u683c\u5f0f\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528OpenCV\u5e93\u521b\u5efaJPG\u6587\u4ef6\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n
        \n
      1. \n
        \u5b89\u88c5OpenCV\u5e93\uff1a<\/p>\n<\/p>\n
        pip install opencv-python<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n
      2. \n
        \u4f7f\u7528OpenCV\u5e93\u521b\u5efa\u4e00\u4e2a\u56fe\u50cf\u6587\u4ef6\u5e76\u4fdd\u5b58\u4e3aJPG\u683c\u5f0f\uff1a<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
        import cv2<\/p>\n
        import numpy as np<\/p>\n
        \u521b\u5efa\u4e00\u4e2a\u7a7a\u767d\u56fe\u50cf\uff0c\u8bbe\u7f6e\u56fe\u50cf\u5927\u5c0f\u548c\u989c\u8272<\/strong><\/h2>\n
        width, height = 800, 600<\/p>\n
        color = (255, 255, 255)  # \u767d\u8272\u80cc\u666f<\/p>\n
        image = np.full((height, width, 3), color, dtype=np.uint8)<\/p>\n
        \u4fdd\u5b58\u56fe\u50cf\u4e3aJPG\u683c\u5f0f<\/strong><\/h2>\n
        cv2.imwrite('output.jpg', image)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165\u4e86OpenCV\u5e93\u548cnumpy\u5e93\uff0c\u7136\u540e\u4f7f\u7528numpy\u521b\u5efa\u4e00\u4e2a\u7a7a\u767d\u56fe\u50cf\uff0c\u8bbe\u7f6e\u56fe\u50cf\u7684\u5927\u5c0f\u548c\u989c\u8272\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528cv2.imwrite\u65b9\u6cd5\u5c06\u56fe\u50cf\u4fdd\u5b58\u4e3aJPG\u683c\u5f0f\u7684\u6587\u4ef6\u3002<\/p>\n<\/p>\n
        \u4e8c\u3001Pillow\u5e93\u7684\u8be6\u7ec6\u4ecb\u7ecd<\/p>\n<\/p>\n
        \u5b89\u88c5\u4e0e\u5bfc\u5165<\/h3>\n<\/p>\n
        Pillow\u5e93\u662fPython\u4e2d\u5904\u7406\u56fe\u50cf\u7684\u4e00\u4e2a\u975e\u5e38\u5e38\u7528\u4e14\u5f3a\u5927\u7684\u5e93\u3002\u8981\u4f7f\u7528Pillow\u5e93\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u5b83\u5df2\u7ecf\u5b89\u88c5\u5728\u4f60\u7684Python\u73af\u5883\u4e2d\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5Pillow\u5e93\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\u65b9\u5f0f\u5bfc\u5165Pillow\u5e93\uff1a<\/p>\n<\/p>\n
        from PIL import Image<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u521b\u5efa\u56fe\u50cf<\/h3>\n<\/p>\n
        \u4f7f\u7528Pillow\u5e93\u521b\u5efa\u56fe\u50cf\u6587\u4ef6\u975e\u5e38\u7b80\u5355\u3002\u53ef\u4ee5\u4f7f\u7528Image.new<\/code>\u65b9\u6cd5\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u56fe\u50cf\u3002\u8fd9\u4e2a\u65b9\u6cd5\u7684\u53c2\u6570\u5305\u62ec\u56fe\u50cf\u6a21\u5f0f\u3001\u5927\u5c0f\u548c\u989c\u8272\u3002\u4f8b\u5982\uff0c\u8981\u521b\u5efa\u4e00\u4e2a800×600\u50cf\u7d20\u7684\u767d\u8272\u80cc\u666f\u56fe\u50cf\uff0c\u53ef\u4ee5\u8fd9\u6837\u505a\uff1a<\/p>\n<\/p>\n
        width, height = 800, 600<\/p>\n
        color = (255, 255, 255)  # \u767d\u8272\u80cc\u666f<\/p>\n
        image = Image.new('RGB', (width, height), color)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u4fdd\u5b58\u56fe\u50cf<\/h3>\n<\/p>\n
        \u4e00\u65e6\u521b\u5efa\u4e86\u56fe\u50cf\uff0c\u5c31\u53ef\u4ee5\u4f7f\u7528save<\/code>\u65b9\u6cd5\u5c06\u5176\u4fdd\u5b58\u4e3aJPG\u683c\u5f0f\u7684\u6587\u4ef6\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        image.save('output.jpg')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u6253\u5f00\u548c\u663e\u793a\u56fe\u50cf<\/h3>\n<\/p>\n
        Pillow\u5e93\u8fd8\u63d0\u4f9b\u4e86\u6253\u5f00\u548c\u663e\u793a\u56fe\u50cf\u7684\u65b9\u6cd5\u3002\u53ef\u4ee5\u4f7f\u7528Image.open<\/code>\u65b9\u6cd5\u6253\u5f00\u4e00\u4e2a\u73b0\u6709\u7684\u56fe\u50cf\u6587\u4ef6\uff0c\u5e76\u4f7f\u7528show<\/code>\u65b9\u6cd5\u663e\u793a\u56fe\u50cf\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        image = Image.open('input.jpg')<\/p>\n
        image.show()<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u4fee\u6539\u56fe\u50cf<\/h3>\n<\/p>\n
        Pillow\u5e93\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u4fee\u6539\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u8c03\u6574\u56fe\u50cf\u7684\u5927\u5c0f\u3001\u65cb\u8f6c\u56fe\u50cf\u3001\u88c1\u526a\u56fe\u50cf\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u56fe\u50cf\u4fee\u6539\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
        \u8c03\u6574\u56fe\u50cf\u5927\u5c0f<\/h4>\n<\/p>\n
        \u53ef\u4ee5\u4f7f\u7528resize<\/code>\u65b9\u6cd5\u8c03\u6574\u56fe\u50cf\u7684\u5927\u5c0f\u3002\u4f8b\u5982\uff0c\u5c06\u56fe\u50cf\u8c03\u6574\u4e3a400×300\u50cf\u7d20\uff1a<\/p>\n<\/p>\n
        resized_image = image.resize((400, 300))<\/p>\n
        resized_image.save('resized_output.jpg')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u65cb\u8f6c\u56fe\u50cf<\/h4>\n<\/p>\n
        \u53ef\u4ee5\u4f7f\u7528rotate<\/code>\u65b9\u6cd5\u65cb\u8f6c\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u5c06\u56fe\u50cf\u65cb\u8f6c90\u5ea6\uff1a<\/p>\n<\/p>\n
        rotated_image = image.rotate(90)<\/p>\n
        rotated_image.save('rotated_output.jpg')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u88c1\u526a\u56fe\u50cf<\/h4>\n<\/p>\n
        \u53ef\u4ee5\u4f7f\u7528crop<\/code>\u65b9\u6cd5\u88c1\u526a\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u88c1\u526a\u4e00\u4e2a100×100\u50cf\u7d20\u7684\u533a\u57df\uff1a<\/p>\n<\/p>\n
        box = (100, 100, 200, 200)<\/p>\n
        cropped_image = image.crop(box)<\/p>\n
        cropped_image.save('cropped_output.jpg')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u6dfb\u52a0\u6587\u672c<\/h3>\n<\/p>\n
        Pillow\u5e93\u8fd8\u63d0\u4f9b\u4e86\u5728\u56fe\u50cf\u4e0a\u6dfb\u52a0\u6587\u672c\u7684\u65b9\u6cd5\u3002\u53ef\u4ee5\u4f7f\u7528ImageDraw<\/code>\u6a21\u5757\u548cImageFont<\/code>\u6a21\u5757\u6765\u5b9e\u73b0\u3002\u4f8b\u5982\uff0c\u5728\u56fe\u50cf\u4e0a\u6dfb\u52a0\u6587\u672c\u201cHello, World!\u201d\uff1a<\/p>\n<\/p>\n
        from PIL import ImageDraw, ImageFont<\/p>\n
        \u521b\u5efa\u4e00\u4e2a\u7a7a\u767d\u56fe\u50cf<\/strong><\/h2>\n
        image = Image.new('RGB', (800, 600), (255, 255, 255))<\/p>\n
        \u521b\u5efa\u4e00\u4e2a\u7ed8\u56fe\u5bf9\u8c61<\/strong><\/h2>\n
        draw = ImageDraw.Draw(image)<\/p>\n
        \u8bbe\u7f6e\u5b57\u4f53<\/strong><\/h2>\n
        font = ImageFont.truetype('arial.ttf', size=45)<\/p>\n
        \u6dfb\u52a0\u6587\u672c<\/strong><\/h2>\n
        draw.text((100, 100), 'Hello, World!', fill='black', font=font)<\/p>\n
        \u4fdd\u5b58\u56fe\u50cf<\/strong><\/h2>\n
        image.save('text_output.jpg')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5e94\u7528\u6ee4\u955c<\/h3>\n<\/p>\n
        Pillow\u5e93\u8fd8\u63d0\u4f9b\u4e86\u591a\u79cd\u6ee4\u955c\uff0c\u53ef\u4ee5\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5e94\u7528\u6a21\u7cca\u6ee4\u955c\u3001\u8fb9\u7f18\u589e\u5f3a\u6ee4\u955c\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u6ee4\u955c\uff1a<\/p>\n<\/p>\n
        \u6a21\u7cca\u6ee4\u955c<\/h4>\n<\/p>\n
        \u53ef\u4ee5\u4f7f\u7528ImageFilter<\/code>\u6a21\u5757\u7684BLUR<\/code>\u6ee4\u955c\u6a21\u7cca\u56fe\u50cf\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        from PIL import ImageFilter<\/p>\n
        blurred_image = image.filter(ImageFilter.BLUR)<\/p>\n
        blurred_image.save('blurred_output.jpg')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u8fb9\u7f18\u589e\u5f3a\u6ee4\u955c<\/h4>\n<\/p>\n
        \u53ef\u4ee5\u4f7f\u7528ImageFilter<\/code>\u6a21\u5757\u7684EDGE_ENHANCE<\/code>\u6ee4\u955c\u589e\u5f3a\u56fe\u50cf\u7684\u8fb9\u7f18\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        edge_enhanced_image = image.filter(ImageFilter.EDGE_ENHANCE)<\/p>\n
        edge_enhanced_image.save('edge_enhanced_output.jpg')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u4e09\u3001matplotlib\u5e93\u7684\u8be6\u7ec6\u4ecb\u7ecd<\/p>\n<\/p>\n
        \u5b89\u88c5\u4e0e\u5bfc\u5165<\/h3>\n<\/p>\n
        matplotlib\u662f\u4e00\u4e2a\u5e7f\u6cdb\u4f7f\u7528\u7684\u7ed8\u56fe\u5e93\uff0c\u7279\u522b\u9002\u7528\u4e8e\u751f\u6210\u5404\u79cd\u56fe\u8868\u548c\u56fe\u50cf\u3002\u8981\u4f7f\u7528matplotlib\u5e93\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u5b83\u5df2\u7ecf\u5b89\u88c5\u5728\u4f60\u7684Python\u73af\u5883\u4e2d\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5matplotlib\u5e93\uff1a<\/p>\n<\/p>\n
        pip install matplotlib<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u5f0f\u5bfc\u5165matplotlib\u5e93\uff1a<\/p>\n<\/p>\n
        import matplotlib.pyplot as plt<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u521b\u5efa\u56fe\u50cf<\/h3>\n<\/p>\n
        \u4f7f\u7528matplotlib\u5e93\u521b\u5efa\u56fe\u50cf\u6587\u4ef6\u4e5f\u975e\u5e38\u7b80\u5355\u3002\u53ef\u4ee5\u4f7f\u7528imshow<\/code>\u65b9\u6cd5\u663e\u793a\u6570\u636e\uff0c\u5e76\u4f7f\u7528savefig<\/code>\u65b9\u6cd5\u5c06\u56fe\u50cf\u4fdd\u5b58\u4e3aJPG\u683c\u5f0f\u7684\u6587\u4ef6\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        import numpy as np<\/p>\n
        \u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
        data = np.random.rand(100, 100)<\/p>\n
        \u521b\u5efa\u56fe\u50cf<\/strong><\/h2>\n
        plt.imshow(data, cmap='gray')<\/p>\n
        \u4fdd\u5b58\u56fe\u50cf\u4e3aJPG\u683c\u5f0f<\/strong><\/h2>\n
        plt.savefig('output.jpg', format='jpg')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u7ed8\u5236\u56fe\u8868<\/h3>\n<\/p>\n
        matplotlib\u5e93\u6700\u5f3a\u5927\u7684\u529f\u80fd\u4e4b\u4e00\u662f\u7ed8\u5236\u5404\u79cd\u56fe\u8868\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u56fe\u8868\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
        \u6298\u7ebf\u56fe<\/h4>\n<\/p>\n
        \u53ef\u4ee5\u4f7f\u7528plot<\/code>\u65b9\u6cd5\u7ed8\u5236\u6298\u7ebf\u56fe\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        x = np.linspace(0, 10, 100)<\/p>\n
        y = np.sin(x)<\/p>\n
        plt.plot(x, y)<\/p>\n
        plt.savefig('line_plot.jpg', format='jpg')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u6563\u70b9\u56fe<\/h4>\n<\/p>\n
        \u53ef\u4ee5\u4f7f\u7528scatter<\/code>\u65b9\u6cd5\u7ed8\u5236\u6563\u70b9\u56fe\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        x = np.random.rand(100)<\/p>\n
        y = np.random.rand(100)<\/p>\n
        plt.scatter(x, y)<\/p>\n
        plt.savefig('scatter_plot.jpg', format='jpg')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u76f4\u65b9\u56fe<\/h4>\n<\/p>\n
        \u53ef\u4ee5\u4f7f\u7528hist<\/code>\u65b9\u6cd5\u7ed8\u5236\u76f4\u65b9\u56fe\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        data = np.random.randn(1000)<\/p>\n
        plt.hist(data, bins=30)<\/p>\n
        plt.savefig('histogram.jpg', format='jpg')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u6dfb\u52a0\u6ce8\u91ca\u548c\u6807\u7b7e<\/h3>\n<\/p>\n
        matplotlib\u5e93\u8fd8\u63d0\u4f9b\u4e86\u6dfb\u52a0\u6ce8\u91ca\u548c\u6807\u7b7e\u7684\u65b9\u6cd5\u3002\u53ef\u4ee5\u4f7f\u7528xlabel<\/code>\u3001ylabel<\/code>\u3001title<\/code>\u548cannotate<\/code>\u65b9\u6cd5\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        x = np.linspace(0, 10, 100)<\/p>\n
        y = np.sin(x)<\/p>\n
        plt.plot(x, y)<\/p>\n
        plt.xlabel('X Axis')<\/p>\n
        plt.ylabel('Y Axis')<\/p>\n
        plt.title('Sine Wave')<\/p>\n
        plt.annotate('Peak', xy=(np.pi\/2, 1), xytext=(np.pi\/2, 1.5),<\/p>\n
                     arrowprops=dict(facecolor='black', shrink=0.05))<\/p>\n
        plt.savefig('annotated_plot.jpg', format='jpg')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5b50\u56fe<\/h3>\n<\/p>\n
        matplotlib\u5e93\u8fd8\u63d0\u4f9b\u4e86\u521b\u5efa\u5b50\u56fe\u7684\u65b9\u6cd5\u3002\u53ef\u4ee5\u4f7f\u7528subplot<\/code>\u65b9\u6cd5\u521b\u5efa\u591a\u4e2a\u5b50\u56fe\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        x = np.linspace(0, 10, 100)<\/p>\n
        y1 = np.sin(x)<\/p>\n
        y2 = np.cos(x)<\/p>\n
        plt.subplot(2, 1, 1)<\/p>\n
        plt.plot(x, y1)<\/p>\n
        plt.title('Sine Wave')<\/p>\n
        plt.subplot(2, 1, 2)<\/p>\n
        plt.plot(x, y2)<\/p>\n
        plt.title('Cosine Wave')<\/p>\n
        plt.savefig('subplot.jpg', format='jpg')<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u56db\u3001OpenCV\u5e93\u7684\u8be6\u7ec6\u4ecb\u7ecd<\/p>\n<\/p>\n
        \u5b89\u88c5\u4e0e\u5bfc\u5165<\/h3>\n<\/p>\n
        OpenCV\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u5e7f\u6cdb\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u3001\u89c6\u9891\u6355\u6349\u548c\u5206\u6790\u3002\u8981\u4f7f\u7528OpenCV\u5e93\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u5b83\u5df2\u7ecf\u5b89\u88c5\u5728\u4f60\u7684Python\u73af\u5883\u4e2d\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5OpenCV\u5e93\uff1a<\/p>\n<\/p>\n
        pip install opencv-python<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u5f0f\u5bfc\u5165OpenCV\u5e93\uff1a<\/p>\n<\/p>\n
        import cv2<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u521b\u5efa\u56fe\u50cf<\/h3>\n<\/p>\n
        \u4f7f\u7528OpenCV\u5e93\u521b\u5efa\u56fe\u50cf\u6587\u4ef6\u4e5f\u975e\u5e38\u7b80\u5355\u3002\u53ef\u4ee5\u4f7f\u7528numpy<\/code>\u5e93\u521b\u5efa\u4e00\u4e2a\u7a7a\u767d\u56fe\u50cf\uff0c\u7136\u540e\u4f7f\u7528cv2.imwrite<\/code>\u65b9\u6cd5\u5c06\u56fe\u50cf\u4fdd\u5b58\u4e3aJPG\u683c\u5f0f\u7684\u6587\u4ef6\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        import numpy as np<\/p>\n
        \u521b\u5efa\u4e00\u4e2a\u7a7a\u767d\u56fe\u50cf\uff0c\u8bbe\u7f6e\u56fe\u50cf\u5927\u5c0f\u548c\u989c\u8272<\/strong><\/h2>\n
        width, height = 800, 600<\/p>\n
        color = (255, 255, 255)  # \u767d\u8272\u80cc\u666f<\/p>\n
        image = np.full((height, width, 3), color, dtype=np.uint8)<\/p>\n
        \u4fdd\u5b58\u56fe\u50cf\u4e3aJPG\u683c\u5f0f<\/strong><\/h2>\n
        cv2.imwrite('output.jpg', image)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u6253\u5f00\u548c\u663e\u793a\u56fe\u50cf<\/h3>\n<\/p>\n
        OpenCV\u5e93\u8fd8\u63d0\u4f9b\u4e86\u6253\u5f00\u548c\u663e\u793a\u56fe\u50cf\u7684\u65b9\u6cd5\u3002\u53ef\u4ee5\u4f7f\u7528cv2.imread<\/code>\u65b9\u6cd5\u6253\u5f00\u4e00\u4e2a\u73b0\u6709\u7684\u56fe\u50cf\u6587\u4ef6\uff0c\u5e76\u4f7f\u7528cv2.imshow<\/code>\u65b9\u6cd5\u663e\u793a\u56fe\u50cf\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        image = cv2.imread('input.jpg')<\/p>\n
        cv2.imshow('Image', image)<\/p>\n
        cv2.wAI<\/a>tKey(0)<\/p>\n
        cv2.destroyAllWindows()<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u4fee\u6539\u56fe\u50cf<\/h3>\n<\/p>\n
        OpenCV\u5e93\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u4fee\u6539\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u8c03\u6574\u56fe\u50cf\u7684\u5927\u5c0f\u3001\u65cb\u8f6c\u56fe\u50cf\u3001\u88c1\u526a\u56fe\u50cf\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u56fe\u50cf\u4fee\u6539\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
        \u8c03\u6574\u56fe\u50cf\u5927\u5c0f<\/h4>\n<\/p>\n
        \u53ef\u4ee5\u4f7f\u7528cv2.resize<\/code>\u65b9\u6cd5\u8c03\u6574\u56fe\u50cf\u7684\u5927\u5c0f\u3002\u4f8b\u5982\uff0c\u5c06\u56fe\u50cf\u8c03\u6574\u4e3a400×300\u50cf\u7d20\uff1a<\/p>\n<\/p>\n
        resized_image = cv2.resize(image, (400, 300))<\/p>\n
        cv2.imwrite('resized_output.jpg', resized_image)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u65cb\u8f6c\u56fe\u50cf<\/h4>\n<\/p>\n
        \u53ef\u4ee5\u4f7f\u7528cv2.getRotationMatrix2D<\/code>\u65b9\u6cd5\u521b\u5efa\u65cb\u8f6c\u77e9\u9635\uff0c\u5e76\u4f7f\u7528cv2.warpAffine<\/code>\u65b9\u6cd5\u65cb\u8f6c\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u5c06\u56fe\u50cf\u65cb\u8f6c90\u5ea6\uff1a<\/p>\n<\/p>\n
        (h, w) = image.shape[:2]<\/p>\n
        center = (w \/\/ 2, h \/\/ 2)<\/p>\n
        M = cv2.getRotationMatrix2D(center, 90, 1.0)<\/p>\n
        rotated_image = cv2.warpAffine(image, M, (w, h))<\/p>\n
        cv2.imwrite('rotated_output.jpg', rotated_image)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u88c1\u526a\u56fe\u50cf<\/h4>\n<\/p>\n
        \u53ef\u4ee5\u4f7f\u7528\u6570\u7ec4\u5207\u7247\u65b9\u6cd5\u88c1\u526a\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u88c1\u526a\u4e00\u4e2a100×100\u50cf\u7d20\u7684\u533a\u57df\uff1a<\/p>\n<\/p>\n
        cropped_image = image[100:200, 100:200]<\/p>\n
        cv2.imwrite('cropped_output.jpg', cropped_image)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u6dfb\u52a0\u6587\u672c<\/h3>\n<\/p>\n
        OpenCV\u5e93\u8fd8\u63d0\u4f9b\u4e86\u5728\u56fe\u50cf\u4e0a\u6dfb\u52a0\u6587\u672c\u7684\u65b9\u6cd5\u3002\u53ef\u4ee5\u4f7f\u7528cv2.putText<\/code>\u65b9\u6cd5\u3002\u4f8b\u5982\uff0c\u5728\u56fe\u50cf\u4e0a\u6dfb\u52a0\u6587\u672c\u201cHello, World!\u201d\uff1a<\/p>\n<\/p>\n
        font = cv2.FONT_HERSHEY_SIMPLEX<\/p>\n
        cv2.putText(image, 'Hello, World!', (100, 100), font, 1, (0, 0, 0), 2, cv2.LINE_AA)<\/p>\n
        cv2.imwrite('text_output.jpg', image)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5e94\u7528\u6ee4\u955c<\/h3>\n<\/p>\n
        OpenCV\u5e93\u8fd8\u63d0\u4f9b\u4e86\u591a\u79cd\u6ee4\u955c\uff0c\u53ef\u4ee5\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5e94\u7528\u6a21\u7cca\u6ee4\u955c\u3001\u8fb9\u7f18\u68c0\u6d4b\u6ee4\u955c\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u6ee4\u955c\uff1a<\/p>\n<\/p>\n
        \u6a21\u7cca\u6ee4\u955c<\/h4>\n<\/p>\n
        \u53ef\u4ee5\u4f7f\u7528cv2.GaussianBlur<\/code>\u65b9\u6cd5\u6a21\u7cca\u56fe\u50cf\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        blurred_image = cv2.GaussianBlur(image, (15, 15), 0)<\/p>\n
        cv2.imwrite('blurred_output.jpg', blurred_image)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u8fb9\u7f18\u68c0\u6d4b\u6ee4\u955c<\/h4>\n<\/p>\n
        \u53ef\u4ee5\u4f7f\u7528cv2.Canny<\/code>\u65b9\u6cd5\u68c0\u6d4b\u56fe\u50cf\u7684\u8fb9\u7f18\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        edges = cv2.Canny(image, 100, 200)<\/p>\n
        cv2.imwrite('edges_output.jpg', edges)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u4e94\u3001\u603b\u7ed3<\/p>\n<\/p>\n
        \u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u4e86\u89e3\u4e86\u5982\u4f55\u4f7f\u7528Python\u521b\u5efaJPG\u6587\u4ef6\uff0c\u5e76\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u4e09\u79cd\u5e38\u7528\u7684\u65b9\u6cd5\uff1a\u4f7f\u7528Pillow\u5e93\u3001\u4f7f\u7528matplotlib\u5e93\u548c\u4f7f\u7528OpenCV\u5e93\u3002\u6211\u4eec\u8fd8\u6df1\u5165\u63a2\u8ba8\u4e86\u6bcf\u79cd\u65b9\u6cd5\u7684\u5177\u4f53\u6b65\u9aa4\u548c\u4e00\u4e9b\u5e38\u7528\u7684\u56fe\u50cf\u5904\u7406\u64cd\u4f5c\u3002\u5e0c\u671b\u8fd9\u4e9b\u5185\u5bb9\u5bf9\u4f60\u6709\u6240\u5e2e\u52a9\uff0c\u5e76\u80fd\u591f\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\u5f97\u5fc3\u5e94\u624b\u5730\u5e94\u7528\u8fd9\u4e9b\u65b9\u6cd5\u548c\u6280\u5de7\u3002<\/p>\n<\/p>\n
        \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
         \u5982\u4f55\u5728Python\u4e2d\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684JPG\u6587\u4ef6\uff1f<\/strong>
        \u8981\u5728Python\u4e2d\u521b\u5efa\u4e00\u4e2aJPG\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528PIL\uff08Pillow\uff09\u5e93\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86Pillow\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4pip install Pillow<\/code>\u6765\u5b89\u88c5\u3002\u63a5\u4e0b\u6765\uff0c\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u56fe\u50cf\u5e76\u4fdd\u5b58\u4e3aJPG\u683c\u5f0f\uff1a<\/p>\n
        from PIL import Image\n\n# \u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u56fe\u50cf\uff0c\u6a21\u5f0f\u4e3aRGB\uff0c\u5c3a\u5bf8\u4e3a100x100\uff0c\u80cc\u666f\u8272\u4e3a\u767d\u8272\nimg = Image.new('RGB', (100, 100), color='white')\n\n# \u4fdd\u5b58\u56fe\u50cf\u4e3aJPG\u6587\u4ef6\nimg.save('output.jpg')\n<\/code><\/pre>\n
        \u8fd9\u6837\u5c31\u80fd\u6210\u529f\u521b\u5efa\u4e00\u4e2a\u540d\u4e3aoutput.jpg<\/code>\u7684\u6587\u4ef6\u3002<\/p>\n
        \u5728Python\u4e2d\u5982\u4f55\u5c06\u73b0\u6709\u7684\u56fe\u50cf\u6587\u4ef6\u8f6c\u6362\u4e3aJPG\u683c\u5f0f\uff1f<\/strong>
        \u53ef\u4ee5\u4f7f\u7528Pillow\u5e93\u8f7b\u677e\u5c06\u73b0\u6709\u56fe\u50cf\u6587\u4ef6\u8f6c\u6362\u4e3aJPG\u683c\u5f0f\u3002\u53ea\u9700\u6253\u5f00\u539f\u59cb\u56fe\u50cf\u6587\u4ef6\u5e76\u5c06\u5176\u4fdd\u5b58\u4e3aJPG\u683c\u5f0f\u3002\u4ee5\u4e0b\u662f\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n
        from PIL import Image\n\n# \u6253\u5f00\u73b0\u6709\u56fe\u50cf\u6587\u4ef6\nimg = Image.open('input.png')\n\n# \u4fdd\u5b58\u4e3aJPG\u683c\u5f0f\nimg.convert('RGB').save('output.jpg', 'JPEG')\n<\/code><\/pre>\n
        \u786e\u4fdd\u5728\u8f6c\u6362\u65f6\u4f7f\u7528convert('RGB')<\/code>\uff0c\u56e0\u4e3aJPG\u683c\u5f0f\u4e0d\u652f\u6301\u900f\u660e\u5ea6\u3002<\/p>\n
        \u5982\u4f55\u8c03\u6574\u521b\u5efa\u7684JPG\u56fe\u50cf\u7684\u5206\u8fa8\u7387\u6216\u5927\u5c0f\uff1f<\/strong>
        \u53ef\u4ee5\u4f7f\u7528Pillow\u5e93\u8c03\u6574\u56fe\u50cf\u7684\u5206\u8fa8\u7387\u6216\u5927\u5c0f\u3002\u5728\u521b\u5efa\u56fe\u50cf\u540e\uff0c\u53ef\u4ee5\u8c03\u7528resize()<\/code>\u65b9\u6cd5\u6765\u4fee\u6539\u56fe\u50cf\u7684\u5c3a\u5bf8\u3002\u4ee5\u4e0b\u662f\u8c03\u6574\u56fe\u50cf\u5927\u5c0f\u7684\u793a\u4f8b\uff1a<\/p>\n
        from PIL import Image\n\n# \u521b\u5efa\u65b0\u7684\u56fe\u50cf\nimg = Image.new('RGB', (100, 100), color='white')\n\n# \u8c03\u6574\u56fe\u50cf\u5927\u5c0f\nimg_resized = img.resize((200, 200))\n\n# \u4fdd\u5b58\u8c03\u6574\u5927\u5c0f\u540e\u7684\u56fe\u50cf\nimg_resized.save('resized_output.jpg')\n<\/code><\/pre>\n
        \u901a\u8fc7\u8c03\u6574resize()<\/code>\u65b9\u6cd5\u4e2d\u7684\u53c2\u6570\uff0c\u53ef\u4ee5\u81ea\u7531\u8bbe\u7f6e\u6240\u9700\u7684\u56fe\u50cf\u5c3a\u5bf8\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4e00\u3001Python\u5982\u4f55\u521b\u5efaJPG\u6587\u4ef6 Python\u521b\u5efaJPG\u6587\u4ef6\u7684\u65b9\u6cd5\u4e3b\u8981\u6709\u4ee5\u4e0b\u51e0\u79cd\uff1a\u4f7f\u7528Pillow\u5e93\u3001\u4f7f\u7528m […]","protected":false},"author":3,"featured_media":1148043,"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\/1148037"}],"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=1148037"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1148037\/revisions"}],"predecessor-version":[{"id":1148046,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1148037\/revisions\/1148046"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1148043"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1148037"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1148037"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1148037"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}