{"id":1011146,"date":"2024-12-27T11:27:23","date_gmt":"2024-12-27T03:27:23","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1011146.html"},"modified":"2024-12-27T11:27:25","modified_gmt":"2024-12-27T03:27:25","slug":"python%e5%a6%82%e4%bd%95%e5%ae%9e%e7%8e%b0%e5%9b%be%e5%83%8f%e5%88%86%e5%9d%97","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1011146.html","title":{"rendered":"python\u5982\u4f55\u5b9e\u73b0\u56fe\u50cf\u5206\u5757"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25085413\/0c84913f-ced5-40f9-a491-b41be5474e4e.webp\" alt=\"python\u5982\u4f55\u5b9e\u73b0\u56fe\u50cf\u5206\u5757\" \/><\/p>\n<p><p> \u4e00\u3001\u76f4\u63a5\u4f7f\u7528PIL\u5e93\u3001\u4f7f\u7528OpenCV\u5e93\u3001\u5229\u7528NumPy\u6570\u7ec4\u5207\u7247<\/p>\n<\/p>\n<p><p>\u5728Python\u4e2d\u5b9e\u73b0\u56fe\u50cf\u5206\u5757\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u6765\u5b8c\u6210\uff0c<strong>\u76f4\u63a5\u4f7f\u7528PIL\u5e93\u3001\u4f7f\u7528OpenCV\u5e93\u3001\u5229\u7528NumPy\u6570\u7ec4\u5207\u7247<\/strong>\u662f\u5176\u4e2d\u7684\u4e09\u79cd\u5e38\u89c1\u65b9\u6cd5\u3002\u5176\u4e2d\uff0cPIL\u5e93\u63d0\u4f9b\u4e86\u7b80\u5355\u6613\u7528\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u9002\u5408\u521d\u5b66\u8005\u5feb\u901f\u4e0a\u624b\uff1bOpenCV\u5e93\u5219\u529f\u80fd\u5f3a\u5927\uff0c\u9002\u5408\u9700\u8981\u8fdb\u884c\u590d\u6742\u56fe\u50cf\u5904\u7406\u7684\u573a\u666f\uff1b\u800cNumPy\u6570\u7ec4\u5207\u7247\u662f\u5229\u7528Python\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\u8fdb\u884c\u56fe\u50cf\u5206\u5757\u7684\u4e00\u79cd\u9ad8\u6548\u65b9\u6cd5\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528PIL\u5e93\u5b9e\u73b0\u56fe\u50cf\u5206\u5757\u3002<\/p>\n<\/p>\n<p><p>PIL\u5e93\u7684\u4f7f\u7528\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u52a0\u8f7d\u56fe\u50cf\uff0c\u83b7\u53d6\u5176\u5c3a\u5bf8\uff0c\u7136\u540e\u6839\u636e\u9700\u8981\u7684\u5757\u5927\u5c0f\u8fdb\u884c\u5207\u5272\u5373\u53ef\u3002PIL\u5e93\u63d0\u4f9b\u4e86<code>crop()<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u7528\u6765\u63d0\u53d6\u56fe\u50cf\u7684\u67d0\u4e00\u533a\u57df\u3002\u5728\u8fdb\u884c\u56fe\u50cf\u5206\u5757\u65f6\uff0c\u9996\u5148\u9700\u8981\u786e\u5b9a\u6bcf\u4e2a\u5757\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\uff0c\u7136\u540e\u5728\u539f\u56fe\u4e0a\u6309\u7167\u8fd9\u4e9b\u5c3a\u5bf8\u5faa\u73af\u88c1\u526a\uff0c\u76f4\u5230\u5c06\u6574\u5e45\u56fe\u50cf\u5206\u5272\u5b8c\u6210\u3002<\/p>\n<\/p>\n<p><p>\u4e8c\u3001PIL\u5e93\u5b9e\u73b0\u56fe\u50cf\u5206\u5757<\/p>\n<\/p>\n<p><p>PIL\uff08Python Imaging Library\uff09\u662fPython\u4e2d\u4e00\u4e2a\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u4f7f\u7528\u5b83\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u56fe\u50cf\u7684\u5206\u5757\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>\u52a0\u8f7d\u56fe\u50cf\u548c\u83b7\u53d6\u5c3a\u5bf8<\/strong><\/li>\n<\/ol>\n<p><p>\u9996\u5148\uff0c\u4f7f\u7528PIL\u5e93\u4e2d\u7684<code>Image<\/code>\u6a21\u5757\u52a0\u8f7d\u56fe\u50cf\uff0c\u5e76\u83b7\u53d6\u56fe\u50cf\u7684\u5c3a\u5bf8\u4fe1\u606f\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<h2><strong>\u52a0\u8f7d\u56fe\u50cf<\/strong><\/h2>\n<p>image = Image.open(&#39;example.jpg&#39;)<\/p>\n<h2><strong>\u83b7\u53d6\u56fe\u50cf\u5c3a\u5bf8<\/strong><\/h2>\n<p>width, height = image.size<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li><strong>\u5b9a\u4e49\u5206\u5757\u7684\u5c3a\u5bf8<\/strong><\/li>\n<\/ol>\n<p><p>\u63a5\u4e0b\u6765\uff0c\u5b9a\u4e49\u6bcf\u4e2a\u5206\u5757\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\u3002\u8fd9\u4e9b\u503c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u8fdb\u884c\u8c03\u6574\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5b9a\u4e49\u5206\u5757\u7684\u5c3a\u5bf8<\/p>\n<p>block_width = 100<\/p>\n<p>block_height = 100<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"3\">\n<li><strong>\u5faa\u73af\u5206\u5757<\/strong><\/li>\n<\/ol>\n<p><p>\u4f7f\u7528\u5d4c\u5957\u5faa\u73af\u904d\u5386\u56fe\u50cf\u7684\u6bcf\u4e2a\u90e8\u5206\uff0c\u5229\u7528<code>crop()<\/code>\u65b9\u6cd5\u5bf9\u56fe\u50cf\u8fdb\u884c\u88c1\u526a\uff0c\u5e76\u5c06\u7ed3\u679c\u4fdd\u5b58\u6216\u8fdb\u884c\u5176\u4ed6\u5904\u7406\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5faa\u73af\u5206\u5757<\/p>\n<p>for top in range(0, height, block_height):<\/p>\n<p>    for left in range(0, width, block_width):<\/p>\n<p>        # \u8ba1\u7b97\u53f3\u4e0b\u89d2\u5750\u6807<\/p>\n<p>        bottom = min(top + block_height, height)<\/p>\n<p>        right = min(left + block_width, width)<\/p>\n<p>        # \u88c1\u526a\u56fe\u50cf<\/p>\n<p>        cropped_image = image.crop((left, top, right, bottom))<\/p>\n<p>        # \u4fdd\u5b58\u6216\u5904\u7406\u5206\u5757<\/p>\n<p>        cropped_image.save(f&#39;block_{top}_{left}.jpg&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e09\u3001OpenCV\u5e93\u5b9e\u73b0\u56fe\u50cf\u5206\u5757<\/p>\n<\/p>\n<p><p>OpenCV\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u4f7f\u7528\u5b83\u4e5f\u53ef\u4ee5\u5b9e\u73b0\u56fe\u50cf\u7684\u5206\u5757\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>\u52a0\u8f7d\u56fe\u50cf<\/strong><\/li>\n<\/ol>\n<p><p>\u4f7f\u7528OpenCV\u7684<code>imread()<\/code>\u51fd\u6570\u52a0\u8f7d\u56fe\u50cf\uff0c\u5e76\u83b7\u53d6\u5176\u5c3a\u5bf8\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<h2><strong>\u52a0\u8f7d\u56fe\u50cf<\/strong><\/h2>\n<p>image = cv2.imread(&#39;example.jpg&#39;)<\/p>\n<h2><strong>\u83b7\u53d6\u56fe\u50cf\u5c3a\u5bf8<\/strong><\/h2>\n<p>height, width, _ = image.shape<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li><strong>\u5b9a\u4e49\u5206\u5757\u7684\u5c3a\u5bf8<\/strong><\/li>\n<\/ol>\n<p><p>\u540c\u6837\uff0c\u5b9a\u4e49\u6bcf\u4e2a\u5206\u5757\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5b9a\u4e49\u5206\u5757\u7684\u5c3a\u5bf8<\/p>\n<p>block_width = 100<\/p>\n<p>block_height = 100<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"3\">\n<li><strong>\u5faa\u73af\u5206\u5757<\/strong><\/li>\n<\/ol>\n<p><p>\u4f7f\u7528OpenCV\u7684\u6570\u7ec4\u5207\u7247\u529f\u80fd\u8fdb\u884c\u5206\u5757\uff0c\u5e76\u4fdd\u5b58\u6216\u5904\u7406\u6bcf\u4e2a\u5206\u5757\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5faa\u73af\u5206\u5757<\/p>\n<p>for top in range(0, height, block_height):<\/p>\n<p>    for left in range(0, width, block_width):<\/p>\n<p>        # \u8ba1\u7b97\u53f3\u4e0b\u89d2\u5750\u6807<\/p>\n<p>        bottom = min(top + block_height, height)<\/p>\n<p>        right = min(left + block_width, width)<\/p>\n<p>        # \u88c1\u526a\u56fe\u50cf<\/p>\n<p>        cropped_image = image[top:bottom, left:right]<\/p>\n<p>        # \u4fdd\u5b58\u6216\u5904\u7406\u5206\u5757<\/p>\n<p>        cv2.imwrite(f&#39;block_{top}_{left}.jpg&#39;, cropped_image)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u56db\u3001NumPy\u6570\u7ec4\u5207\u7247\u5b9e\u73b0\u56fe\u50cf\u5206\u5757<\/p>\n<\/p>\n<p><p>NumPy\u662fPython\u4e2d\u4e00\u4e2a\u5f3a\u5927\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u5229\u7528\u5176\u6570\u7ec4\u5207\u7247\u529f\u80fd\u4e5f\u53ef\u4ee5\u5b9e\u73b0\u56fe\u50cf\u7684\u5206\u5757\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>\u52a0\u8f7d\u56fe\u50cf\u5e76\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4<\/strong><\/li>\n<\/ol>\n<p><p>\u9996\u5148\uff0c\u4f7f\u7528PIL\u5e93\u52a0\u8f7d\u56fe\u50cf\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u52a0\u8f7d\u56fe\u50cf<\/strong><\/h2>\n<p>image = Image.open(&#39;example.jpg&#39;)<\/p>\n<h2><strong>\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4<\/strong><\/h2>\n<p>image_array = np.array(image)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li><strong>\u83b7\u53d6\u56fe\u50cf\u5c3a\u5bf8<\/strong><\/li>\n<\/ol>\n<p><p>\u83b7\u53d6\u56fe\u50cf\u7684\u9ad8\u5ea6\u548c\u5bbd\u5ea6\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u83b7\u53d6\u56fe\u50cf\u5c3a\u5bf8<\/p>\n<p>height, width, _ = image_array.shape<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"3\">\n<li><strong>\u5b9a\u4e49\u5206\u5757\u7684\u5c3a\u5bf8<\/strong><\/li>\n<\/ol>\n<p><p>\u5b9a\u4e49\u6bcf\u4e2a\u5206\u5757\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5b9a\u4e49\u5206\u5757\u7684\u5c3a\u5bf8<\/p>\n<p>block_width = 100<\/p>\n<p>block_height = 100<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"4\">\n<li><strong>\u5faa\u73af\u5206\u5757<\/strong><\/li>\n<\/ol>\n<p><p>\u4f7f\u7528NumPy\u7684\u6570\u7ec4\u5207\u7247\u529f\u80fd\u8fdb\u884c\u5206\u5757\uff0c\u5e76\u4fdd\u5b58\u6216\u5904\u7406\u6bcf\u4e2a\u5206\u5757\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5faa\u73af\u5206\u5757<\/p>\n<p>for top in range(0, height, block_height):<\/p>\n<p>    for left in range(0, width, block_width):<\/p>\n<p>        # \u8ba1\u7b97\u53f3\u4e0b\u89d2\u5750\u6807<\/p>\n<p>        bottom = min(top + block_height, height)<\/p>\n<p>        right = min(left + block_width, width)<\/p>\n<p>        # \u88c1\u526a\u56fe\u50cf<\/p>\n<p>        cropped_image = image_array[top:bottom, left:right]<\/p>\n<p>        # \u8f6c\u6362\u4e3aPIL\u56fe\u50cf<\/p>\n<p>        cropped_image_pil = Image.fromarray(cropped_image)<\/p>\n<p>        # \u4fdd\u5b58\u6216\u5904\u7406\u5206\u5757<\/p>\n<p>        cropped_image_pil.save(f&#39;block_{top}_{left}.jpg&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e94\u3001\u56fe\u50cf\u5206\u5757\u7684\u5e94\u7528\u573a\u666f<\/p>\n<\/p>\n<p><p>\u56fe\u50cf\u5206\u5757\u5728\u8bb8\u591a\u9886\u57df\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\uff0c\u5305\u62ec\u4f46\u4e0d\u9650\u4e8e\u4ee5\u4e0b\u51e0\u4e2a\u65b9\u9762\uff1a<\/p>\n<\/p>\n<ol>\n<li><strong>\u56fe\u50cf\u5904\u7406\u548c\u5206\u6790<\/strong><\/li>\n<\/ol>\n<p><p>\u5728\u56fe\u50cf\u5904\u7406\u548c\u5206\u6790\u4e2d\uff0c\u5206\u5757\u6280\u672f\u53ef\u4ee5\u7528\u4e8e\u56fe\u50cf\u7684\u5e73\u884c\u5904\u7406\u3002\u901a\u8fc7\u5c06\u5927\u56fe\u50cf\u5206\u5272\u6210\u5c0f\u5757\uff0c\u53ef\u4ee5\u5728\u591a\u6838\u5904\u7406\u5668\u4e0a\u540c\u65f6\u5904\u7406\u591a\u4e2a\u5757\uff0c\u4ece\u800c\u63d0\u9ad8\u5904\u7406\u901f\u5ea6\u3002<\/p>\n<\/p>\n<ol start=\"2\">\n<li><strong><a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u548c\u8ba1\u7b97\u673a\u89c6\u89c9<\/strong><\/li>\n<\/ol>\n<p><p>\u5728\u673a\u5668\u5b66\u4e60\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u4e2d\uff0c\u56fe\u50cf\u5206\u5757\u53ef\u4ee5\u7528\u4e8e\u6570\u636e\u589e\u5f3a\u548c\u7279\u5f81\u63d0\u53d6\u3002\u4f8b\u5982\uff0c\u5728\u8bad\u7ec3\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u65f6\uff0c\u53ef\u4ee5\u5c06\u56fe\u50cf\u5206\u5272\u6210\u591a\u4e2a\u5c0f\u5757\uff0c\u4ee5\u589e\u52a0\u8bad\u7ec3\u6570\u636e\u7684\u591a\u6837\u6027\u3002<\/p>\n<\/p>\n<ol start=\"3\">\n<li><strong>\u56fe\u50cf\u538b\u7f29<\/strong><\/li>\n<\/ol>\n<p><p>\u5728\u56fe\u50cf\u538b\u7f29\u4e2d\uff0c\u5206\u5757\u6280\u672f\u53ef\u4ee5\u7528\u4e8e\u5c40\u90e8\u538b\u7f29\u3002\u901a\u8fc7\u5c06\u56fe\u50cf\u5206\u5272\u6210\u5c0f\u5757\uff0c\u53ef\u4ee5\u5bf9\u6bcf\u4e2a\u5757\u5355\u72ec\u8fdb\u884c\u538b\u7f29\uff0c\u4ece\u800c\u63d0\u9ad8\u538b\u7f29\u6548\u7387\u3002<\/p>\n<\/p>\n<p><p>\u516d\u3001\u603b\u7ed3<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u4e86\u89e3\u4e86\u5982\u4f55\u5728Python\u4e2d\u5b9e\u73b0\u56fe\u50cf\u5206\u5757\u7684\u4e09\u79cd\u5e38\u89c1\u65b9\u6cd5\uff1a<strong>\u76f4\u63a5\u4f7f\u7528PIL\u5e93\u3001\u4f7f\u7528OpenCV\u5e93\u3001\u5229\u7528NumPy\u6570\u7ec4\u5207\u7247<\/strong>\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u4f18\u70b9\u548c\u9002\u7528\u573a\u666f\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u8fdb\u884c\u9009\u62e9\u3002\u6b64\u5916\uff0c\u56fe\u50cf\u5206\u5757\u5728\u56fe\u50cf\u5904\u7406\u3001\u673a\u5668\u5b66\u4e60\u3001\u56fe\u50cf\u538b\u7f29\u7b49\u9886\u57df\u90fd\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\u3002\u5e0c\u671b\u672c\u6587\u80fd\u4e3a\u60a8\u63d0\u4f9b\u6709\u4ef7\u503c\u7684\u53c2\u8003\uff0c\u5e2e\u52a9\u60a8\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u7528\u56fe\u50cf\u5206\u5757\u6280\u672f\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u5b9e\u73b0\u56fe\u50cf\u5206\u5757\u7684\u57fa\u672c\u6b65\u9aa4\u662f\u4ec0\u4e48\uff1f<\/strong><br 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