{"id":1101496,"date":"2025-01-08T15:50:15","date_gmt":"2025-01-08T07:50:15","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1101496.html"},"modified":"2025-01-08T15:50:17","modified_gmt":"2025-01-08T07:50:17","slug":"python%e5%a6%82%e4%bd%95%e6%8a%8a%e4%b8%a4%e5%bc%a0%e5%9b%be%e7%89%87%e5%81%9a%e5%8a%a0%e6%b3%95-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1101496.html","title":{"rendered":"python\u5982\u4f55\u628a\u4e24\u5f20\u56fe\u7247\u505a\u52a0\u6cd5"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25064242\/65383a99-8a55-4222-991a-08f95e58ca91.webp\" alt=\"python\u5982\u4f55\u628a\u4e24\u5f20\u56fe\u7247\u505a\u52a0\u6cd5\" \/><\/p>\n<p><p> <strong>Python\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5c06\u4e24\u5f20\u56fe\u7247\u8fdb\u884c\u52a0\u6cd5\u64cd\u4f5c\uff0c\u5305\u62ec\u4f7f\u7528Pillow\u5e93\u3001OpenCV\u5e93\u7b49\u3002\u5e38\u7528\u7684\u65b9\u6cd5\u6709\uff1a\u4f7f\u7528Pillow\u5e93\u3001\u4f7f\u7528OpenCV\u5e93\u3002<\/strong> \u5176\u4e2d\uff0c\u4f7f\u7528OpenCV\u5e93\u662f\u6bd4\u8f83\u5e38\u89c1\u4e14\u9ad8\u6548\u7684\u65b9\u6cd5\u3002\u4e0b\u9762\u6211\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u4f7f\u7528OpenCV\u5e93\u6765\u5b9e\u73b0\u56fe\u7247\u52a0\u6cd5\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u5b89\u88c5\u548c\u5bfc\u5165\u5fc5\u8981\u7684\u5e93<\/h3>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86OpenCV\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528pip\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install opencv-python<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u9700\u8981\u5bfc\u5165\u5fc5\u8981\u7684\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<p>import numpy as np<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u8bfb\u53d6\u56fe\u7247<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528OpenCV\u7684<code>cv2.imread<\/code>\u51fd\u6570\u6765\u8bfb\u53d6\u56fe\u7247\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">img1 = cv2.imread(&#39;path_to_image1.jpg&#39;)<\/p>\n<p>img2 = cv2.imread(&#39;path_to_image2.jpg&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u786e\u4fdd\u56fe\u7247\u7684\u5c3a\u5bf8\u4e00\u81f4<\/h3>\n<\/p>\n<p><p>\u5728\u5bf9\u4e24\u5f20\u56fe\u7247\u8fdb\u884c\u52a0\u6cd5\u64cd\u4f5c\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u786e\u4fdd\u5b83\u4eec\u7684\u5c3a\u5bf8\u4e00\u81f4\u3002\u5982\u679c\u56fe\u7247\u7684\u5c3a\u5bf8\u4e0d\u4e00\u81f4\uff0c\u53ef\u4ee5\u4f7f\u7528<code>cv2.resize<\/code>\u51fd\u6570\u6765\u8c03\u6574\u56fe\u7247\u7684\u5927\u5c0f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">img1 = cv2.resize(img1, (width, height))<\/p>\n<p>img2 = cv2.resize(img2, (width, height))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001\u8fdb\u884c\u56fe\u7247\u52a0\u6cd5\u64cd\u4f5c<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528OpenCV\u7684<code>cv2.add<\/code>\u51fd\u6570\u6765\u5bf9\u4e24\u5f20\u56fe\u7247\u8fdb\u884c\u52a0\u6cd5\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">result = cv2.add(img1, img2)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u663e\u793a\u548c\u4fdd\u5b58\u7ed3\u679c\u56fe\u7247<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528OpenCV\u7684<code>cv2.imshow<\/code>\u51fd\u6570\u6765\u663e\u793a\u7ed3\u679c\u56fe\u7247\uff0c\u5e76\u4f7f\u7528<code>cv2.imwrite<\/code>\u51fd\u6570\u6765\u4fdd\u5b58\u7ed3\u679c\u56fe\u7247\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">cv2.imshow(&#39;Result Image&#39;, result)<\/p>\n<p>cv2.imwrite(&#39;result_image.jpg&#39;, result)<\/p>\n<p>cv2.w<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>tKey(0)<\/p>\n<p>cv2.destroyAllWindows()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516d\u3001\u8be6\u7ec6\u89e3\u91ca\u4e0e\u793a\u4f8b\u4ee3\u7801<\/h3>\n<\/p>\n<p><h4>1\u3001\u8bfb\u53d6\u56fe\u7247<\/h4>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u8bfb\u53d6\u4e24\u5f20\u56fe\u7247\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u4f7f\u7528<code>cv2.imread<\/code>\u51fd\u6570\u6765\u8bfb\u53d6\u56fe\u7247\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">img1 = cv2.imread(&#39;image1.jpg&#39;)<\/p>\n<p>img2 = cv2.imread(&#39;image2.jpg&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u68c0\u67e5\u5e76\u8c03\u6574\u56fe\u7247\u5c3a\u5bf8<\/h4>\n<\/p>\n<p><p>\u5728\u5bf9\u56fe\u7247\u8fdb\u884c\u52a0\u6cd5\u64cd\u4f5c\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u786e\u4fdd\u4e24\u5f20\u56fe\u7247\u7684\u5c3a\u5bf8\u662f\u4e00\u6837\u7684\u3002\u5982\u679c\u5b83\u4eec\u7684\u5c3a\u5bf8\u4e0d\u4e00\u81f4\uff0c\u53ef\u4ee5\u4f7f\u7528<code>cv2.resize<\/code>\u51fd\u6570\u6765\u8c03\u6574\u56fe\u7247\u7684\u5927\u5c0f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">height, width = img1.shape[:2]<\/p>\n<p>img2 = cv2.resize(img2, (width, height))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3\u3001\u8fdb\u884c\u56fe\u7247\u52a0\u6cd5\u64cd\u4f5c<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528<code>cv2.add<\/code>\u51fd\u6570\u6765\u5bf9\u4e24\u5f20\u56fe\u7247\u8fdb\u884c\u52a0\u6cd5\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">result = cv2.add(img1, img2)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>4\u3001\u663e\u793a\u548c\u4fdd\u5b58\u7ed3\u679c\u56fe\u7247<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528<code>cv2.imshow<\/code>\u51fd\u6570\u6765\u663e\u793a\u7ed3\u679c\u56fe\u7247\uff0c\u5e76\u4f7f\u7528<code>cv2.imwrite<\/code>\u51fd\u6570\u6765\u4fdd\u5b58\u7ed3\u679c\u56fe\u7247\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">cv2.imshow(&#39;Result Image&#39;, result)<\/p>\n<p>cv2.imwrite(&#39;result_image.jpg&#39;, result)<\/p>\n<p>cv2.waitKey(0)<\/p>\n<p>cv2.destroyAllWindows()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u793a\u4f8b\u4ee3\u7801<\/h3>\n<\/p>\n<p><p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u5b8c\u6574\u7684\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u5c06\u4e24\u5f20\u56fe\u7247\u8fdb\u884c\u52a0\u6cd5\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u8bfb\u53d6\u56fe\u7247<\/strong><\/h2>\n<p>img1 = cv2.imread(&#39;image1.jpg&#39;)<\/p>\n<p>img2 = cv2.imread(&#39;image2.jpg&#39;)<\/p>\n<h2><strong>\u786e\u4fdd\u56fe\u7247\u5c3a\u5bf8\u4e00\u81f4<\/strong><\/h2>\n<p>height, width = img1.shape[:2]<\/p>\n<p>img2 = cv2.resize(img2, (width, height))<\/p>\n<h2><strong>\u56fe\u7247\u52a0\u6cd5\u64cd\u4f5c<\/strong><\/h2>\n<p>result = cv2.add(img1, img2)<\/p>\n<h2><strong>\u663e\u793a\u548c\u4fdd\u5b58\u7ed3\u679c\u56fe\u7247<\/strong><\/h2>\n<p>cv2.imshow(&#39;Result Image&#39;, result)<\/p>\n<p>cv2.imwrite(&#39;result_image.jpg&#39;, result)<\/p>\n<p>cv2.waitKey(0)<\/p>\n<p>cv2.destroyAllWindows()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u4e0a\u8ff0\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u4f7f\u7528Python\u548cOpenCV\u5e93\u5c06\u4e24\u5f20\u56fe\u7247\u8fdb\u884c\u52a0\u6cd5\u64cd\u4f5c\u3002<strong>\u8fd9\u4e2a\u65b9\u6cd5\u4e0d\u4ec5\u7b80\u5355\u6613\u7528\uff0c\u800c\u4e14\u975e\u5e38\u9ad8\u6548\uff0c\u9002\u7528\u4e8e\u5404\u79cd\u56fe\u50cf\u5904\u7406\u4efb\u52a1\u3002<\/strong><\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u8fdb\u884c\u56fe\u7247\u52a0\u6cd5\u64cd\u4f5c\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528OpenCV\u5e93\u6765\u8fdb\u884c\u56fe\u7247\u7684\u52a0\u6cd5\u64cd\u4f5c\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86OpenCV\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4<code>pip install opencv-python<\/code>\u6765\u5b89\u88c5\u3002\u4f7f\u7528<code>cv2.add()<\/code>\u51fd\u6570\u53ef\u4ee5\u5c06\u4e24\u5f20\u56fe\u7247\u8fdb\u884c\u52a0\u6cd5\u5904\u7406\uff0c\u8be5\u51fd\u6570\u4f1a\u81ea\u52a8\u5904\u7406\u6ea2\u51fa\u95ee\u9898\u3002\u5982\u679c\u9700\u8981\u66f4\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406\uff0c\u53ef\u4ee5\u8003\u8651\u4f7f\u7528NumPy\u5e93\u6765\u5b9e\u73b0\u50cf\u7d20\u7ea7\u7684\u52a0\u6cd5\u3002<\/p>\n<p><strong>\u56fe\u7247\u52a0\u6cd5\u64cd\u4f5c\u4f1a\u6709\u54ea\u4e9b\u5e94\u7528\u573a\u666f\uff1f<\/strong><br \/>\u56fe\u7247\u52a0\u6cd5\u64cd\u4f5c\u5728\u591a\u79cd\u573a\u666f\u4e0b\u5177\u6709\u91cd\u8981\u5e94\u7528\u3002\u6bd4\u5982\u5728\u533b\u5b66\u5f71\u50cf\u5904\u7406\u4e2d\uff0c\u901a\u8fc7\u5c06\u591a\u5f20\u56fe\u50cf\u53e0\u52a0\u6765\u589e\u5f3a\u67d0\u4e9b\u7279\u5f81\uff0c\u6216\u8005\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u4e2d\uff0c\u901a\u8fc7\u5408\u6210\u591a\u5f20\u56fe\u50cf\u6765\u521b\u5efa\u66f4\u4e30\u5bcc\u7684\u4fe1\u606f\u3002\u6b64\u5916\uff0c\u5728\u56fe\u50cf\u5904\u7406\u9886\u57df\uff0c\u878d\u5408\u4e0d\u540c\u65f6\u95f4\u6bb5\u7684\u56fe\u50cf\u4e5f\u53ef\u4ee5\u901a\u8fc7\u52a0\u6cd5\u5b9e\u73b0\uff0c\u4ece\u800c\u63d0\u9ad8\u56fe\u50cf\u7684\u8d28\u91cf\u548c\u53ef\u8bfb\u6027\u3002<\/p>\n<p><strong>\u662f\u5426\u53ef\u4ee5\u5bf9\u4e0d\u540c\u5c3a\u5bf8\u7684\u56fe\u7247\u8fdb\u884c\u52a0\u6cd5\u64cd\u4f5c\uff1f<\/strong><br \/>\u5bf9\u4e0d\u540c\u5c3a\u5bf8\u7684\u56fe\u7247\u8fdb\u884c\u52a0\u6cd5\u64cd\u4f5c\u9700\u8981\u5148\u8c03\u6574\u5b83\u4eec\u7684\u5927\u5c0f\u3002Python\u7684OpenCV\u5e93\u63d0\u4f9b\u4e86<code>cv2.resize()<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u5c06\u56fe\u7247\u8c03\u6574\u4e3a\u76f8\u540c\u7684\u5c3a\u5bf8\u3002\u786e\u4fdd\u5728\u8fdb\u884c\u52a0\u6cd5\u64cd\u4f5c\u4e4b\u524d\uff0c\u4e24\u4e2a\u56fe\u50cf\u7684\u5c3a\u5bf8\u548c\u901a\u9053\u6570\u76f8\u540c\uff0c\u4ee5\u907f\u514d\u51fa\u73b0\u9519\u8bef\u6216\u4e0d\u53ef\u9884\u671f\u7684\u7ed3\u679c\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u7075\u6d3b\u5730\u5904\u7406\u4e0d\u540c\u6765\u6e90\u7684\u56fe\u50cf\u6570\u636e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5c06\u4e24\u5f20\u56fe\u7247\u8fdb\u884c\u52a0\u6cd5\u64cd\u4f5c\uff0c\u5305\u62ec\u4f7f\u7528Pillow\u5e93\u3001OpenCV\u5e93\u7b49\u3002\u5e38\u7528\u7684\u65b9\u6cd5\u6709\uff1a\u4f7f [&hellip;]","protected":false},"author":3,"featured_media":1101503,"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\/1101496"}],"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=1101496"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1101496\/revisions"}],"predecessor-version":[{"id":1101507,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1101496\/revisions\/1101507"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1101503"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1101496"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1101496"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1101496"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}