{"id":1102728,"date":"2025-01-08T16:03:01","date_gmt":"2025-01-08T08:03:01","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1102728.html"},"modified":"2025-01-08T16:03:07","modified_gmt":"2025-01-08T08:03:07","slug":"python%e5%a6%82%e4%bd%95%e5%b0%86%e4%b8%a4%e4%b8%aa%e5%9b%be%e7%89%87%e5%b5%8c%e5%85%a5-3","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1102728.html","title":{"rendered":"python\u5982\u4f55\u5c06\u4e24\u4e2a\u56fe\u7247\u5d4c\u5165"},"content":{"rendered":"

\"python\u5982\u4f55\u5c06\u4e24\u4e2a\u56fe\u7247\u5d4c\u5165\"<\/p>\n

\u5f00\u5934\u6bb5\u843d:<\/p>\n

Python\u53ef\u4ee5\u4f7f\u7528Pillow\u5e93\u3001OpenCV\u5e93\u3001NumPy\u5e93\u5c06\u4e24\u4e2a\u56fe\u7247\u5d4c\u5165<\/strong>\u3002\u5176\u4e2d\uff0cPillow\u5e93\u548cOpenCV\u5e93\u662f\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u3002\u4f7f\u7528Pillow\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7\u76f4\u63a5\u64cd\u4f5c\u56fe\u50cf\u7684\u50cf\u7d20\u6570\u636e\u6765\u5b9e\u73b0\u56fe\u50cf\u5d4c\u5165\u3002\u4f7f\u7528OpenCV\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7\u56fe\u50cf\u52a0\u6743\u878d\u5408\u3001\u56fe\u50cf\u62fc\u63a5\u7b49\u6280\u672f\u5b9e\u73b0\u56fe\u50cf\u5d4c\u5165\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Pillow\u5e93\u5c06\u4e24\u4e2a\u56fe\u7247\u5d4c\u5165\u3002<\/p>\n<\/p>\n

\u4e00\u3001PILLOW\u5e93\u7b80\u4ecb\u53ca\u5b89\u88c5<\/p>\n

Pillow\u662f\u4e00\u4e2a\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u652f\u6301\u6253\u5f00\u3001\u64cd\u4f5c\u548c\u4fdd\u5b58\u8bb8\u591a\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u50cf\u3002\u5b83\u662fPython Imaging Library\uff08PIL\uff09\u7684\u53cb\u597d\u5206\u652f\u3002\u4f7f\u7528Pillow\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u5904\u7406\u5404\u79cd\u56fe\u50cf\u64cd\u4f5c\uff0c\u6bd4\u5982\u88c1\u526a\u3001\u8c03\u6574\u5927\u5c0f\u3001\u65cb\u8f6c\u3001\u5408\u5e76\u7b49\u3002<\/p>\n<\/p>\n

\u5b89\u88c5Pillow\u5e93\u975e\u5e38\u7b80\u5355\uff0c\u53ef\u4ee5\u4f7f\u7528pip\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install pillow<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528PILLOW\u5e93\u5c06\u4e24\u4e2a\u56fe\u7247\u5d4c\u5165<\/p>\n<\/p>\n
    \n
  1. \u6253\u5f00\u56fe\u50cf<\/p>\n
    \u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u4f7f\u7528Pillow\u5e93\u4e2d\u7684Image.open<\/code>\u51fd\u6570\u6765\u6253\u5f00\u6211\u4eec\u60f3\u8981\u5d4c\u5165\u7684\u4e24\u4e2a\u56fe\u50cf\u3002\u5047\u8bbe\u6211\u4eec\u6709\u4e24\u5f20\u56fe\u7247\uff0c\u5206\u522b\u4e3aimage1.jpg<\/code>\u548cimage2.jpg<\/code>\uff0c\u4ee3\u7801\u5982\u4e0b\uff1a<\/li>\n<\/p>\n<\/ol>\n
    from PIL import Image<\/p>\n
    image1 = Image.open('image1.jpg')<\/p>\n
    image2 = Image.open('image2.jpg')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \u786e\u5b9a\u5d4c\u5165\u4f4d\u7f6e<\/p>\n
      \u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u9700\u8981\u786e\u5b9a\u7b2c\u4e8c\u5f20\u56fe\u7247\u5d4c\u5165\u5230\u7b2c\u4e00\u5f20\u56fe\u7247\u4e2d\u7684\u4f4d\u7f6e\u3002\u5047\u8bbe\u6211\u4eec\u5c06\u7b2c\u4e8c\u5f20\u56fe\u7247\u5d4c\u5165\u5230\u7b2c\u4e00\u5f20\u56fe\u7247\u7684\u5de6\u4e0a\u89d2\uff0c\u4ee3\u7801\u5982\u4e0b\uff1a<\/li>\n<\/p>\n<\/ol>\n
      position = (0, 0)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
        \n
      1. \u5d4c\u5165\u56fe\u50cf<\/p>\n
        \u4f7f\u7528Pillow\u5e93\u4e2d\u7684paste<\/code>\u51fd\u6570\u5c06\u7b2c\u4e8c\u5f20\u56fe\u7247\u5d4c\u5165\u5230\u7b2c\u4e00\u5f20\u56fe\u7247\u4e2d\uff0c\u4ee3\u7801\u5982\u4e0b\uff1a<\/li>\n<\/p>\n<\/ol>\n
        image1.paste(image2, position)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
          \n
        1. \u4fdd\u5b58\u7ed3\u679c\u56fe\u50cf<\/p>\n
          \u6700\u540e\uff0c\u6211\u4eec\u9700\u8981\u5c06\u5d4c\u5165\u540e\u7684\u7ed3\u679c\u56fe\u50cf\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff0c\u4ee3\u7801\u5982\u4e0b\uff1a<\/li>\n<\/p>\n<\/ol>\n
          image1.save('result.jpg')<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u5b8c\u6574\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
          from PIL import Image<\/p>\n
          \u6253\u5f00\u56fe\u50cf<\/strong><\/h2>\n
          image1 = Image.open('image1.jpg')<\/p>\n
          image2 = Image.open('image2.jpg')<\/p>\n
          \u786e\u5b9a\u5d4c\u5165\u4f4d\u7f6e<\/strong><\/h2>\n
          position = (0, 0)<\/p>\n
          \u5d4c\u5165\u56fe\u50cf<\/strong><\/h2>\n
          image1.paste(image2, position)<\/p>\n
          \u4fdd\u5b58\u7ed3\u679c\u56fe\u50cf<\/strong><\/h2>\n
          image1.save('result.jpg')<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u4e09\u3001USING OPENCV LIBRARY TO EMBED IMAGES<\/p>\n<\/p>\n
            \n
          1. \u5b89\u88c5OpenCV\u5e93<\/p>\n
            OpenCV\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u673a\u5668\u5b66\u4e60<\/a>\u8f6f\u4ef6\u5e93\u3002\u5b83\u62e5\u6709\u8d85\u8fc72500\u4e2a\u4f18\u5316\u7684\u7b97\u6cd5\uff0c\u53ef\u4ee5\u7528\u4e8e\u56fe\u50cf\u548c\u89c6\u9891\u5206\u6790\u3002\u5b89\u88c5OpenCV\u5e93\u4e5f\u975e\u5e38\u7b80\u5355\uff0c\u53ef\u4ee5\u4f7f\u7528pip\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/li>\n<\/p>\n<\/ol>\n
            pip install opencv-python<\/p>\n
            <\/code><\/pre>\n<\/p>\n
              \n
            1. \u6253\u5f00\u56fe\u50cf<\/p>\n
              \u4f7f\u7528OpenCV\u5e93\u4e2d\u7684imread<\/code>\u51fd\u6570\u6765\u6253\u5f00\u6211\u4eec\u60f3\u8981\u5d4c\u5165\u7684\u4e24\u4e2a\u56fe\u50cf\uff0c\u4ee3\u7801\u5982\u4e0b\uff1a<\/li>\n<\/p>\n<\/ol>\n
              import cv2<\/p>\n
              image1 = cv2.imread('image1.jpg')<\/p>\n
              image2 = cv2.imread('image2.jpg')<\/p>\n
              <\/code><\/pre>\n<\/p>\n
                \n
              1. \u786e\u5b9a\u5d4c\u5165\u4f4d\u7f6e<\/p>\n
                \u786e\u5b9a\u7b2c\u4e8c\u5f20\u56fe\u7247\u5d4c\u5165\u5230\u7b2c\u4e00\u5f20\u56fe\u7247\u4e2d\u7684\u4f4d\u7f6e\uff0c\u5047\u8bbe\u6211\u4eec\u5c06\u7b2c\u4e8c\u5f20\u56fe\u7247\u5d4c\u5165\u5230\u7b2c\u4e00\u5f20\u56fe\u7247\u7684\u5de6\u4e0a\u89d2\uff0c\u4ee3\u7801\u5982\u4e0b\uff1a<\/li>\n<\/p>\n<\/ol>\n
                x_offset = 0<\/p>\n
                y_offset = 0<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                  \n
                1. \u5d4c\u5165\u56fe\u50cf<\/p>\n
                  \u4f7f\u7528OpenCV\u5e93\u4e2d\u7684\u6570\u7ec4\u5207\u7247\u64cd\u4f5c\u5c06\u7b2c\u4e8c\u5f20\u56fe\u7247\u5d4c\u5165\u5230\u7b2c\u4e00\u5f20\u56fe\u7247\u4e2d\uff0c\u4ee3\u7801\u5982\u4e0b\uff1a<\/li>\n<\/p>\n<\/ol>\n
                  image1[y_offset:y_offset+image2.shape[0], x_offset:x_offset+image2.shape[1]] = image2<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                    \n
                  1. \u4fdd\u5b58\u7ed3\u679c\u56fe\u50cf<\/p>\n
                    \u5c06\u5d4c\u5165\u540e\u7684\u7ed3\u679c\u56fe\u50cf\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff0c\u4ee3\u7801\u5982\u4e0b\uff1a<\/li>\n<\/p>\n<\/ol>\n
                    cv2.imwrite('result.jpg', image1)<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                    \u5b8c\u6574\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
                    import cv2<\/p>\n
                    \u6253\u5f00\u56fe\u50cf<\/strong><\/h2>\n
                    image1 = cv2.imread('image1.jpg')<\/p>\n
                    image2 = cv2.imread('image2.jpg')<\/p>\n
                    \u786e\u5b9a\u5d4c\u5165\u4f4d\u7f6e<\/strong><\/h2>\n
                    x_offset = 0<\/p>\n
                    y_offset = 0<\/p>\n
                    \u5d4c\u5165\u56fe\u50cf<\/strong><\/h2>\n
                    image1[y_offset:y_offset+image2.shape[0], x_offset:x_offset+image2.shape[1]] = image2<\/p>\n
                    \u4fdd\u5b58\u7ed3\u679c\u56fe\u50cf<\/strong><\/h2>\n
                    cv2.imwrite('result.jpg', image1)<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                    \u56db\u3001NUMPY\u5e93\u7b80\u4ecb\u53ca\u5e94\u7528<\/p>\n
                    NumPy\u662f\u4e00\u4e2a\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u57fa\u7840\u5e93\u3002\u5b83\u652f\u6301\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\uff0c\u5e76\u4e14\u63d0\u4f9b\u4e86\u5927\u91cf\u7684\u6570\u5b66\u51fd\u6570\u3002\u4f7f\u7528NumPy\u5e93\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u5bf9\u56fe\u50cf\u8fdb\u884c\u5404\u79cd\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
                      \n
                    1. \u5b89\u88c5NumPy\u5e93<\/p>\n
                      \u5b89\u88c5NumPy\u5e93\u4e5f\u975e\u5e38\u7b80\u5355\uff0c\u53ef\u4ee5\u4f7f\u7528pip\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/li>\n<\/p>\n<\/ol>\n
                      pip install numpy<\/p>\n
                      <\/code><\/pre>\n<\/p>\n
                        \n
                      1. \u5c06\u56fe\u50cf\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4<\/p>\n
                        \u4f7f\u7528Pillow\u5e93\u4e2d\u7684Image.open<\/code>\u51fd\u6570\u6253\u5f00\u56fe\u50cf\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\uff0c\u4ee3\u7801\u5982\u4e0b\uff1a<\/li>\n<\/p>\n<\/ol>\n
                        from PIL import Image<\/p>\n
                        import numpy as np<\/p>\n
                        image1 = Image.open('image1.jpg')<\/p>\n
                        image2 = Image.open('image2.jpg')<\/p>\n
                        image1_array = np.array(image1)<\/p>\n
                        image2_array = np.array(image2)<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                          \n
                        1. \u786e\u5b9a\u5d4c\u5165\u4f4d\u7f6e<\/p>\n
                          \u786e\u5b9a\u7b2c\u4e8c\u5f20\u56fe\u7247\u5d4c\u5165\u5230\u7b2c\u4e00\u5f20\u56fe\u7247\u4e2d\u7684\u4f4d\u7f6e\uff0c\u5047\u8bbe\u6211\u4eec\u5c06\u7b2c\u4e8c\u5f20\u56fe\u7247\u5d4c\u5165\u5230\u7b2c\u4e00\u5f20\u56fe\u7247\u7684\u5de6\u4e0a\u89d2\uff0c\u4ee3\u7801\u5982\u4e0b\uff1a<\/li>\n<\/p>\n<\/ol>\n
                          x_offset = 0<\/p>\n
                          y_offset = 0<\/p>\n
                          <\/code><\/pre>\n<\/p>\n
                            \n
                          1. \u5d4c\u5165\u56fe\u50cf<\/p>\n
                            \u4f7f\u7528NumPy\u7684\u6570\u7ec4\u5207\u7247\u64cd\u4f5c\u5c06\u7b2c\u4e8c\u5f20\u56fe\u7247\u5d4c\u5165\u5230\u7b2c\u4e00\u5f20\u56fe\u7247\u4e2d\uff0c\u4ee3\u7801\u5982\u4e0b\uff1a<\/li>\n<\/p>\n<\/ol>\n
                            image1_array[y_offset:y_offset+image2_array.shape[0], x_offset:x_offset+image2_array.shape[1]] = image2_array<\/p>\n
                            <\/code><\/pre>\n<\/p>\n
                              \n
                            1. \u5c06\u7ed3\u679c\u56fe\u50cf\u8f6c\u6362\u4e3aPillow\u56fe\u50cf\u5e76\u4fdd\u5b58<\/p>\n
                              \u5c06\u5d4c\u5165\u540e\u7684\u7ed3\u679c\u56fe\u50cf\u8f6c\u6362\u4e3aPillow\u56fe\u50cf\uff0c\u5e76\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff0c\u4ee3\u7801\u5982\u4e0b\uff1a<\/li>\n<\/p>\n<\/ol>\n
                              result_image = Image.fromarray(image1_array)<\/p>\n
                              result_image.save('result.jpg')<\/p>\n
                              <\/code><\/pre>\n<\/p>\n
                              \u5b8c\u6574\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
                              from PIL import Image<\/p>\n
                              import numpy as np<\/p>\n
                              \u6253\u5f00\u56fe\u50cf<\/strong><\/h2>\n
                              image1 = Image.open('image1.jpg')<\/p>\n
                              image2 = Image.open('image2.jpg')<\/p>\n
                              \u5c06\u56fe\u50cf\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4<\/strong><\/h2>\n
                              image1_array = np.array(image1)<\/p>\n
                              image2_array = np.array(image2)<\/p>\n
                              \u786e\u5b9a\u5d4c\u5165\u4f4d\u7f6e<\/strong><\/h2>\n
                              x_offset = 0<\/p>\n
                              y_offset = 0<\/p>\n
                              \u5d4c\u5165\u56fe\u50cf<\/strong><\/h2>\n
                              image1_array[y_offset:y_offset+image2_array.shape[0], x_offset:x_offset+image2_array.shape[1]] = image2_array<\/p>\n
                              \u5c06\u7ed3\u679c\u56fe\u50cf\u8f6c\u6362\u4e3aPillow\u56fe\u50cf\u5e76\u4fdd\u5b58<\/strong><\/h2>\n
                              result_image = Image.fromarray(image1_array)<\/p>\n
                              result_image.save('result.jpg')<\/p>\n
                              <\/code><\/pre>\n<\/p>\n
                              \u4e94\u3001\u4f7f\u7528\u56fe\u50cf\u52a0\u6743\u878d\u5408<\/p>\n<\/p>\n
                                \n
                              1. \n
                                \u4e86\u89e3\u56fe\u50cf\u52a0\u6743\u878d\u5408<\/p>\n
                                \u56fe\u50cf\u52a0\u6743\u878d\u5408\u662f\u4e00\u79cd\u5c06\u4e24\u5e45\u56fe\u50cf\u6309\u4e00\u5b9a\u6743\u91cd\u8fdb\u884c\u7ebf\u6027\u7ec4\u5408\u7684\u6280\u672f\u3002\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u6743\u91cd\u6765\u63a7\u5236\u5d4c\u5165\u6548\u679c\u3002<\/p>\n<\/p>\n<\/li>\n
                              2. \n
                                \u4f7f\u7528OpenCV\u8fdb\u884c\u56fe\u50cf\u52a0\u6743\u878d\u5408<\/p>\n
                                \u4f7f\u7528OpenCV\u5e93\u4e2d\u7684addWeighted<\/code>\u51fd\u6570\u5b9e\u73b0\u56fe\u50cf\u52a0\u6743\u878d\u5408\uff0c\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
                                import cv2<\/p>\n
                                \u6253\u5f00\u56fe\u50cf<\/strong><\/h2>\n
                                image1 = cv2.imread('image1.jpg')<\/p>\n
                                image2 = cv2.imread('image2.jpg')<\/p>\n
                                \u8c03\u6574\u7b2c\u4e8c\u5f20\u56fe\u7247\u5927\u5c0f\uff0c\u4f7f\u5176\u4e0e\u7b2c\u4e00\u5f20\u56fe\u7247\u5927\u5c0f\u4e00\u81f4<\/strong><\/h2>\n
                                image2 = cv2.resize(image2, (image1.shape[1], image1.shape[0]))<\/p>\n
                                \u56fe\u50cf\u52a0\u6743\u878d\u5408<\/strong><\/h2>\n
                                alpha = 0.5<\/p>\n
                                beta = 1 - alpha<\/p>\n
                                gamma = 0<\/p>\n
                                result = cv2.addWeighted(image1, alpha, image2, beta, gamma)<\/p>\n
                                \u4fdd\u5b58\u7ed3\u679c\u56fe\u50cf<\/strong><\/h2>\n
                                cv2.imwrite('result.jpg', result)<\/p>\n
                                <\/code><\/pre>\n<\/p>\n
                                \u5b8c\u6574\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
                                import cv2<\/p>\n
                                \u6253\u5f00\u56fe\u50cf<\/strong><\/h2>\n
                                image1 = cv2.imread('image1.jpg')<\/p>\n
                                image2 = cv2.imread('image2.jpg')<\/p>\n
                                \u8c03\u6574\u7b2c\u4e8c\u5f20\u56fe\u7247\u5927\u5c0f\uff0c\u4f7f\u5176\u4e0e\u7b2c\u4e00\u5f20\u56fe\u7247\u5927\u5c0f\u4e00\u81f4<\/strong><\/h2>\n
                                image2 = cv2.resize(image2, (image1.shape[1], image1.shape[0]))<\/p>\n
                                \u56fe\u50cf\u52a0\u6743\u878d\u5408<\/strong><\/h2>\n
                                alpha = 0.5<\/p>\n
                                beta = 1 - alpha<\/p>\n
                                gamma = 0<\/p>\n
                                result = cv2.addWeighted(image1, alpha, image2, beta, gamma)<\/p>\n
                                \u4fdd\u5b58\u7ed3\u679c\u56fe\u50cf<\/strong><\/h2>\n
                                cv2.imwrite('result.jpg', result)<\/p>\n
                                <\/code><\/pre>\n<\/p>\n
                                \u516d\u3001\u56fe\u50cf\u62fc\u63a5<\/p>\n<\/p>\n
                                  \n
                                1. \n
                                  \u4e86\u89e3\u56fe\u50cf\u62fc\u63a5<\/p>\n
                                  \u56fe\u50cf\u62fc\u63a5\u662f\u5c06\u4e24\u5e45\u56fe\u50cf\u5728\u6c34\u5e73\u6216\u5782\u76f4\u65b9\u5411\u4e0a\u8fdb\u884c\u7ec4\u5408\u7684\u6280\u672f\u3002\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u62fc\u63a5\u65b9\u5411\u6765\u5b9e\u73b0\u4e0d\u540c\u7684\u6548\u679c\u3002<\/p>\n<\/p>\n<\/li>\n
                                2. \n
                                  \u4f7f\u7528NumPy\u8fdb\u884c\u56fe\u50cf\u62fc\u63a5<\/p>\n
                                  \u4f7f\u7528NumPy\u5e93\u7684concatenate<\/code>\u51fd\u6570\u5b9e\u73b0\u56fe\u50cf\u62fc\u63a5\uff0c\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
                                  from PIL import Image<\/p>\n
                                  import numpy as np<\/p>\n
                                  \u6253\u5f00\u56fe\u50cf<\/strong><\/h2>\n
                                  image1 = Image.open('image1.jpg')<\/p>\n
                                  image2 = Image.open('image2.jpg')<\/p>\n
                                  \u5c06\u56fe\u50cf\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4<\/strong><\/h2>\n
                                  image1_array = np.array(image1)<\/p>\n
                                  image2_array = np.array(image2)<\/p>\n
                                  \u56fe\u50cf\u62fc\u63a5<\/strong><\/h2>\n
                                  result = np.concatenate((image1_array, image2_array), axis=1)<\/p>\n
                                  \u5c06\u7ed3\u679c\u56fe\u50cf\u8f6c\u6362\u4e3aPillow\u56fe\u50cf\u5e76\u4fdd\u5b58<\/strong><\/h2>\n
                                  result_image = Image.fromarray(result)<\/p>\n
                                  result_image.save('result.jpg')<\/p>\n
                                  <\/code><\/pre>\n<\/p>\n
                                  \u5b8c\u6574\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
                                  from PIL import Image<\/p>\n
                                  import numpy as np<\/p>\n
                                  \u6253\u5f00\u56fe\u50cf<\/strong><\/h2>\n
                                  image1 = Image.open('image1.jpg')<\/p>\n
                                  image2 = Image.open('image2.jpg')<\/p>\n
                                  \u5c06\u56fe\u50cf\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4<\/strong><\/h2>\n
                                  image1_array = np.array(image1)<\/p>\n
                                  image2_array = np.array(image2)<\/p>\n
                                  \u56fe\u50cf\u62fc\u63a5<\/strong><\/h2>\n
                                  result = np.concatenate((image1_array, image2_array), axis=1)<\/p>\n
                                  \u5c06\u7ed3\u679c\u56fe\u50cf\u8f6c\u6362\u4e3aPillow\u56fe\u50cf\u5e76\u4fdd\u5b58<\/strong><\/h2>\n
                                  result_image = Image.fromarray(result)<\/p>\n
                                  result_image.save('result.jpg')<\/p>\n
                                  <\/code><\/pre>\n<\/p>\n
                                  \u901a\u8fc7\u4e0a\u8ff0\u65b9\u6cd5\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u4f7f\u7528Python\u5c06\u4e24\u4e2a\u56fe\u7247\u5d4c\u5165\u3002\u65e0\u8bba\u662f\u4f7f\u7528Pillow\u5e93\u3001OpenCV\u5e93\u8fd8\u662fNumPy\u5e93\uff0c\u90fd\u53ef\u4ee5\u5b9e\u73b0\u56fe\u50cf\u7684\u5d4c\u5165\u548c\u5904\u7406\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u5e76\u6839\u636e\u9700\u8981\u8c03\u6574\u4ee3\u7801\u7ec6\u8282\uff0c\u4ee5\u8fbe\u5230\u6700\u4f73\u6548\u679c\u3002<\/p>\n<\/p>\n
                                  \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                                   \u5982\u4f55\u4f7f\u7528Python\u5c06\u4e24\u5f20\u56fe\u7247\u5408\u5e76\u4e3a\u4e00\u5f20\uff1f<\/strong>
                                  \u53ef\u4ee5\u4f7f\u7528Pillow\u5e93\u6765\u5408\u5e76\u56fe\u7247\u3002\u9996\u5148\uff0c\u60a8\u9700\u8981\u5b89\u88c5Pillow\u5e93\uff0c\u901a\u8fc7\u547d\u4ee4pip install Pillow<\/code>\u6765\u5b8c\u6210\u3002\u63a5\u7740\uff0c\u60a8\u53ef\u4ee5\u52a0\u8f7d\u4e24\u5f20\u56fe\u7247\uff0c\u8c03\u6574\u5b83\u4eec\u7684\u5c3a\u5bf8\uff0c\u7136\u540e\u4f7f\u7528paste()<\/code>\u65b9\u6cd5\u5c06\u5b83\u4eec\u5408\u5e76\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n
                                  from PIL import Image\n\n# \u6253\u5f00\u4e24\u5f20\u56fe\u7247\nimage1 = Image.open('image1.jpg')\nimage2 = Image.open('image2.jpg')\n\n# \u8c03\u6574\u56fe\u7247\u5c3a\u5bf8\uff08\u5982\u679c\u9700\u8981\uff09\nimage1 = image1.resize((200, 200))\nimage2 = image2.resize((200, 200))\n\n# \u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u7a7a\u767d\u56fe\u7247\ncombined_image = Image.new('RGB', (400, 200))\n\n# \u5c06\u4e24\u5f20\u56fe\u7247\u7c98\u8d34\u5230\u65b0\u56fe\u7247\u4e0a\ncombined_image.paste(image1, (0, 0))\ncombined_image.paste(image2, (200, 0))\n\n# \u4fdd\u5b58\u5408\u5e76\u540e\u7684\u56fe\u7247\ncombined_image.save('combined_image.jpg')\n<\/code><\/pre>\n
                                  \u9700\u8981\u4f7f\u7528\u54ea\u4e2aPython\u5e93\u6765\u5904\u7406\u56fe\u7247\uff1f<\/strong>
                                  Pillow\u662f\u5904\u7406\u56fe\u7247\u7684\u4e00\u4e2a\u975e\u5e38\u6d41\u884c\u7684Python\u5e93\u3002\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u6765\u6253\u5f00\u3001\u64cd\u4f5c\u548c\u4fdd\u5b58\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u7247\u3002\u901a\u8fc7\u7b80\u5355\u7684API\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u8fdb\u884c\u56fe\u7247\u7684\u5408\u5e76\u3001\u88c1\u526a\u3001\u8c03\u6574\u5927\u5c0f\u548c\u5e94\u7528\u6ee4\u955c\u7b49\u64cd\u4f5c\u3002<\/p>\n
                                  \u5982\u4f55\u5904\u7406\u5408\u5e76\u540e\u56fe\u7247\u7684\u683c\u5f0f\u548c\u8d28\u91cf\uff1f<\/strong>
                                  \u5728\u5408\u5e76\u56fe\u7247\u65f6\uff0c\u60a8\u53ef\u4ee5\u9009\u62e9\u4fdd\u5b58\u4e3a\u4e0d\u540c\u7684\u683c\u5f0f\uff0c\u4f8b\u5982JPEG\u3001PNG\u7b49\u3002\u4e0d\u540c\u683c\u5f0f\u5728\u538b\u7f29\u548c\u8d28\u91cf\u4e0a\u6709\u6240\u533a\u522b\u3002\u4f7f\u7528save()<\/code>\u65b9\u6cd5\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u53c2\u6570\u8bbe\u7f6e\u538b\u7f29\u8d28\u91cf\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7combined_image.save('combined_image.jpg', quality=95)<\/code>\u6765\u4fdd\u5b58JPEG\u683c\u5f0f\u7684\u9ad8\u8d28\u91cf\u56fe\u7247\u3002\u9009\u62e9\u5408\u9002\u7684\u683c\u5f0f\u548c\u8d28\u91cf\u53ef\u4ee5\u5e2e\u52a9\u60a8\u5728\u4fdd\u7559\u7ec6\u8282\u7684\u540c\u65f6\u63a7\u5236\u6587\u4ef6\u5927\u5c0f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5f00\u5934\u6bb5\u843d: Python\u53ef\u4ee5\u4f7f\u7528Pillow\u5e93\u3001OpenCV\u5e93\u3001NumPy\u5e93\u5c06\u4e24\u4e2a\u56fe\u7247\u5d4c\u5165\u3002\u5176\u4e2d\uff0cPillow […]","protected":false},"author":3,"featured_media":1102745,"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\/1102728"}],"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=1102728"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1102728\/revisions"}],"predecessor-version":[{"id":1102746,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1102728\/revisions\/1102746"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1102745"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1102728"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1102728"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1102728"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}