{"id":86598,"date":"2026-07-28T23:00:48","date_gmt":"2026-07-28T15:00:48","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/86598.html"},"modified":"2026-07-28T23:00:48","modified_gmt":"2026-07-28T15:00:48","slug":"%e6%af%95%e8%ae%be%e9%a1%b9%e7%9b%ae-%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e6%b0%b4%e6%9e%9c%e8%af%86%e5%88%ab","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/86598.html","title":{"rendered":"\u6bd5\u8bbe\u9879\u76ee \u6df1\u5ea6\u5b66\u4e60\u6c34\u679c\u8bc6\u522b"},"content":{"rendered":"<\/p>\n<h4>\u6587\u7ae0\u76ee\u5f55<\/h4>\n<ul>\n<li>1 \u524d\u8a00<\/li>\n<li>2 \u5f00\u53d1\u7b80\u4ecb<\/li>\n<li>3 \u8bc6\u522b\u539f\u7406<\/li>\n<li>\n<ul>\n<li>3.1 \u4f20\u7edf\u56fe\u50cf\u8bc6\u522b\u539f\u7406<\/li>\n<li>3.2 \u6df1\u5ea6\u5b66\u4e60\u6c34\u679c\u8bc6\u522b<\/li>\n<\/ul>\n<\/li>\n<li>4 \u6570\u636e\u96c6<\/li>\n<li>5 \u90e8\u5206\u5173\u952e\u4ee3\u7801<\/li>\n<li>\n<ul>\n<li>5.1 \u5904\u7406\u8bad\u7ec3\u96c6\u7684\u6570\u636e\u7ed3\u6784<\/li>\n<li>5.2 \u6a21\u578b\u7f51\u7edc\u7ed3\u6784<\/li>\n<li>5.3 \u8bad\u7ec3\u6a21\u578b<\/li>\n<\/ul>\n<\/li>\n<li>6 \u8bc6\u522b\u6548\u679c<\/li>\n<\/ul>\n<h2>1 \u524d\u8a00<\/h2>\n<p>Hi&#xff0c;\u5927\u5bb6\u597d&#xff0c;\u8fd9\u91cc\u662f\u4e39\u6210\u5b66\u957f&#xff0c;\u4eca\u5929\u505a\u4e00\u4e2a \u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u6c34\u679c\u8bc6\u522b\u6bd5\u4e1a\u8bbe\u8ba1<\/p>\n<p>\u9879\u76ee\u8fd0\u884c\u6548\u679c&#xff1a;<\/p>\n<\/p>\n<p>\u6bd5\u4e1a\u8bbe\u8ba1 \u6df1\u5ea6\u5b66\u4e60\u6c34\u679c\u5206\u7c7b\u7cfb\u7edf<\/p>\n<\/p>\n<p>&#x1f9ff;\u9879\u76ee\u5206\u4eab&#xff1a;\u89c1\u4e3b\u9875\u4efb\u610f\u7f6e\u9876\u6587\u7ae0<\/p>\n<h2>2 \u5f00\u53d1\u7b80\u4ecb<\/h2>\n<p>\u6df1\u5ea6\u5b66\u4e60\u4f5c\u4e3a\u673a\u5668\u5b66\u4e60\u9886\u57df\u5185\u65b0\u5174\u5e76\u4e14\u84ec\u52c3\u53d1\u5c55\u7684\u4e00\u95e8\u5b66\u79d1&#xff0c; \u5b83\u4e0d\u4ec5\u6539\u53d8\u7740\u4f20\u7edf\u7684\u673a\u5668\u5b66\u4e60\u65b9\u6cd5&#xff0c; \u4e5f\u5f71\u54cd\u7740\u6211\u4eec\u5bf9\u4eba\u7c7b\u611f\u77e5\u7684\u7406\u89e3&#xff0c; \u5df2\u7ecf\u5728\u56fe\u50cf\u8bc6\u522b\u548c\u8bed\u97f3\u8bc6\u522b\u7b49\u9886\u57df\u53d6\u5f97\u5e7f\u6cdb\u7684\u5e94\u7528\u3002 \u56e0\u6b64&#xff0c; \u672c\u6587\u5728\u6df1\u5165\u7814\u7a76\u6df1\u5ea6\u5b66\u4e60\u7406\u8bba\u7684\u57fa\u7840\u4e0a&#xff0c; \u5c06\u6df1\u5ea6\u5b66\u4e60\u5e94\u7528\u5230\u6c34\u679c\u56fe\u50cf\u8bc6\u522b\u4e2d&#xff0c; \u4ee5\u6b64\u6765\u63d0\u9ad8\u4e86\u6c34\u679c\u56fe\u50cf\u7684\u8bc6\u522b\u6027\u80fd\u3002<\/p>\n<h2>3 \u8bc6\u522b\u539f\u7406<\/h2>\n<h3>3.1 \u4f20\u7edf\u56fe\u50cf\u8bc6\u522b\u539f\u7406<\/h3>\n<p>\u4f20\u7edf\u7684\u6c34\u679c\u56fe\u50cf\u8bc6\u522b\u7cfb\u7edf\u7684\u4e00\u822c\u8fc7\u7a0b\u5982\u4e0b\u56fe\u6240\u793a&#xff0c;\u4e3b\u8981\u5de5\u4f5c\u96c6\u4e2d\u5728\u56fe\u50cf\u9884\u5904\u7406\u548c\u7279\u5f81\u63d0\u53d6\u9636\u6bb5\u3002<\/p>\n<p>\u5728\u5927\u591a\u6570\u7684\u8bc6\u522b\u4efb\u52a1\u4e2d&#xff0c; \u5b9e\u9a8c\u6240\u7528\u56fe\u50cf\u5f80\u5f80\u662f\u5728\u4e25\u683c\u9650\u5b9a\u7684\u73af\u5883\u4e2d\u91c7\u96c6\u7684&#xff0c; \u6d88\u9664\u4e86\u5916\u754c\u73af\u5883\u5bf9\u56fe\u50cf\u7684\u5f71\u54cd\u3002 \u4f46\u662f\u5b9e\u9645\u73af\u5883\u4e2d\u56fe\u50cf\u6613\u53d7\u5230\u5149\u7167\u53d8\u5316\u3001 \u6c34\u679c\u53cd\u5149\u3001 \u906e\u6321\u7b49\u56e0\u7d20\u7684\u5f71\u54cd&#xff0c; \u8fd9\u5728\u4e0d\u540c\u7a0b\u5ea6\u4e0a\u5f71\u54cd\u7740\u6c34\u679c\u56fe\u50cf\u7684\u8bc6\u522b\u51c6\u786e\u7387\u3002<\/p>\n<p>\u5728\u4f20\u7edf\u7684\u6c34\u679c\u56fe\u50cf\u8bc6\u522b\u7cfb\u7edf\u4e2d&#xff0c; \u901a\u5e38\u662f\u5bf9\u6c34\u679c\u7684\u7eb9\u7406\u3001 \u989c\u8272\u3001 \u5f62\u72b6\u7b49\u7279\u5f81\u8fdb\u884c\u63d0\u53d6\u548c\u8bc6\u522b\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260728150045-6a68c41d48a2a.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<h3>3.2 \u6df1\u5ea6\u5b66\u4e60\u6c34\u679c\u8bc6\u522b<\/h3>\n<p>CNN \u662f\u4e00\u79cd\u4e13\u95e8\u4e3a\u8bc6\u522b\u4e8c\u7ef4\u7279\u5f81\u800c\u8bbe\u8ba1\u7684\u591a\u5c42\u795e\u7ecf\u7f51\u7edc&#xff0c; \u5b83\u7684\u7ed3\u6784\u5982\u4e0b\u56fe\u6240\u793a&#xff0c;\u8fd9\u79cd\u7ed3\u6784\u5bf9\u5e73\u79fb\u3001 \u7f29\u653e\u3001 \u65cb\u8f6c\u7b49\u53d8\u5f62\u5177\u6709\u9ad8\u5ea6\u7684\u4e0d\u53d8\u6027\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260728150045-6a68c41d9f6d6.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<p>\u5b66\u957f\u672c\u6b21\u91c7\u7528\u7684 CNN \u67b6\u6784\u5982\u56fe&#xff1a; <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260728150045-6a68c41dc37d2.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<h2>4 \u6570\u636e\u96c6<\/h2>\n<ul>\n<li>\n<p>\u6570\u636e\u5e93\u5206\u4e3a\u8bad\u7ec3\u96c6(train)\u548c\u6d4b\u8bd5\u96c6(test)\u4e24\u90e8\u5206<\/p>\n<\/li>\n<li>\n<p>\u8bad\u7ec3\u96c6\u5305\u542b\u56db\u7c7bapple,orange,banana,mixed(\u591a\u79cd\u6c34\u679c\u6df7\u5408)\u56db\u7c7b237\u5f20\u56fe\u7247&#xff1b;\u6d4b\u8bd5\u96c6\u5305\u542b\u6bcf\u7c7b\u56fe\u7247\u5404\u4e24\u5f20\u3002\u56fe\u7247\u96c6\u5982\u4e0b\u56fe\u6240\u793a\u3002<\/p>\n<\/li>\n<li>\n<p>\u56fe\u7247\u7c7b\u522b\u53ef\u7531\u56fe\u7247\u540d\u79f0\u4e2d\u63d0\u53d6\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u8bad\u7ec3\u96c6\u56fe\u7247\u9884\u89c8<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260728150045-6a68c41de8859.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<p>\u6d4b\u8bd5\u96c6\u9884\u89c8 <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260728150046-6a68c41e25e74.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<p>\u6570\u636e\u96c6\u76ee\u5f55\u7ed3\u6784 <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260728150046-6a68c41e4cc98.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<h2>5 \u90e8\u5206\u5173\u952e\u4ee3\u7801<\/h2>\n<h3>5.1 \u5904\u7406\u8bad\u7ec3\u96c6\u7684\u6570\u636e\u7ed3\u6784<\/h3>\n<p><span class=\"token keyword\">import<\/span> os<br \/>\n<span class=\"token keyword\">import<\/span> pandas <span class=\"token keyword\">as<\/span> pd<\/p>\n<p>train_dir <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#039;.\/Training\/&#039;<\/span><br \/>\ntest_dir <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#039;.\/Test\/&#039;<\/span><br \/>\nfruits <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">]<\/span><br \/>\nfruits_image <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">]<\/span><\/p>\n<p><span class=\"token keyword\">for<\/span> i <span class=\"token keyword\">in<\/span> os<span class=\"token punctuation\">.<\/span>listdir<span class=\"token punctuation\">(<\/span>train_dir<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    <span class=\"token keyword\">for<\/span> image_filename <span class=\"token keyword\">in<\/span> os<span class=\"token punctuation\">.<\/span>listdir<span class=\"token punctuation\">(<\/span>train_dir <span class=\"token operator\">&#043;<\/span> i<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        fruits<span class=\"token punctuation\">.<\/span>append<span class=\"token punctuation\">(<\/span>i<span class=\"token punctuation\">)<\/span> <span class=\"token comment\"># name of the fruit<\/span><br \/>\n        fruits_image<span class=\"token punctuation\">.<\/span>append<span class=\"token punctuation\">(<\/span>i <span class=\"token operator\">&#043;<\/span> <span class=\"token string\">&#039;\/&#039;<\/span> <span class=\"token operator\">&#043;<\/span> image_filename<span class=\"token punctuation\">)<\/span><br \/>\ntrain_fruits <span class=\"token operator\">&#061;<\/span> pd<span class=\"token punctuation\">.<\/span>DataFrame<span class=\"token punctuation\">(<\/span>fruits<span class=\"token punctuation\">,<\/span> columns<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;Fruits&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><br \/>\ntrain_fruits<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;Fruits Image&#034;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> fruits_image<\/p>\n<p><span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span>train_fruits<span class=\"token punctuation\">)<\/span><\/p>\n<h3>5.2 \u6a21\u578b\u7f51\u7edc\u7ed3\u6784<\/h3>\n<p><span class=\"token keyword\">import<\/span> matplotlib<span class=\"token punctuation\">.<\/span>pyplot <span class=\"token keyword\">as<\/span> plt<br \/>\n<span class=\"token keyword\">import<\/span> seaborn <span class=\"token keyword\">as<\/span> sns<br \/>\n<span class=\"token keyword\">from<\/span> keras<span class=\"token punctuation\">.<\/span>preprocessing<span class=\"token punctuation\">.<\/span>image <span class=\"token keyword\">import<\/span> ImageDataGenerator<span class=\"token punctuation\">,<\/span> img_to_array<span class=\"token punctuation\">,<\/span> load_img<br \/>\n<span class=\"token keyword\">from<\/span> glob <span class=\"token keyword\">import<\/span> glob<br \/>\n<span class=\"token keyword\">from<\/span> keras<span class=\"token punctuation\">.<\/span>models <span class=\"token keyword\">import<\/span> Sequential<br \/>\n<span class=\"token keyword\">from<\/span> keras<span class=\"token punctuation\">.<\/span>layers <span class=\"token keyword\">import<\/span> Conv2D<span class=\"token punctuation\">,<\/span> MaxPooling2D<span class=\"token punctuation\">,<\/span> Activation<span class=\"token punctuation\">,<\/span> Dropout<span class=\"token punctuation\">,<\/span> Flatten<span class=\"token punctuation\">,<\/span> Dense<br \/>\nimg <span class=\"token operator\">&#061;<\/span> load_img<span class=\"token punctuation\">(<\/span>train_dir <span class=\"token operator\">&#043;<\/span> <span class=\"token string\">&#034;Cantaloupe 1\/r_234_100.jpg&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>imshow<span class=\"token punctuation\">(<\/span>img<span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>axis<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;off&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>show<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>array_image <span class=\"token operator\">&#061;<\/span> img_to_array<span class=\"token punctuation\">(<\/span>img<span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># shape (100,100)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;Image Shape &#8211;&gt; &#034;<\/span><span class=\"token punctuation\">,<\/span> array_image<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># 131\u4e2a\u7c7b\u76ee<\/span><br \/>\nfruitCountUnique <span class=\"token operator\">&#061;<\/span> glob<span class=\"token punctuation\">(<\/span>train_dir <span class=\"token operator\">&#043;<\/span> <span class=\"token string\">&#039;\/*&#039;<\/span> <span class=\"token punctuation\">)<\/span><br \/>\nnumberOfClass <span class=\"token operator\">&#061;<\/span> <span class=\"token builtin\">len<\/span><span class=\"token punctuation\">(<\/span>fruitCountUnique<span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;How many different fruits are there &#8211;&gt; &#034;<\/span><span class=\"token punctuation\">,<\/span>numberOfClass<span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u6784\u5efa\u6a21\u578b<\/span><br \/>\nmodel <span class=\"token operator\">&#061;<\/span> Sequential<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\nmodel<span class=\"token punctuation\">.<\/span>add<span class=\"token punctuation\">(<\/span>Conv2D<span class=\"token punctuation\">(<\/span><span class=\"token number\">32<\/span><span class=\"token punctuation\">,<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">3<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">3<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span>input_shape <span class=\"token operator\">&#061;<\/span> array_image<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nmodel<span class=\"token punctuation\">.<\/span>add<span class=\"token punctuation\">(<\/span>Activation<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;relu&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nmodel<span class=\"token punctuation\">.<\/span>add<span class=\"token punctuation\">(<\/span>MaxPooling2D<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nmodel<span class=\"token punctuation\">.<\/span>add<span class=\"token punctuation\">(<\/span>Conv2D<span class=\"token punctuation\">(<\/span><span class=\"token number\">32<\/span><span class=\"token punctuation\">,<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">3<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">3<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nmodel<span class=\"token punctuation\">.<\/span>add<span class=\"token punctuation\">(<\/span>Activation<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;relu&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nmodel<span class=\"token punctuation\">.<\/span>add<span class=\"token punctuation\">(<\/span>MaxPooling2D<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nmodel<span class=\"token punctuation\">.<\/span>add<span class=\"token punctuation\">(<\/span>Conv2D<span class=\"token punctuation\">(<\/span><span class=\"token number\">64<\/span><span class=\"token punctuation\">,<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">3<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">3<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nmodel<span class=\"token punctuation\">.<\/span>add<span class=\"token punctuation\">(<\/span>Activation<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;relu&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nmodel<span class=\"token punctuation\">.<\/span>add<span class=\"token punctuation\">(<\/span>MaxPooling2D<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nmodel<span class=\"token punctuation\">.<\/span>add<span class=\"token punctuation\">(<\/span>Flatten<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nmodel<span class=\"token punctuation\">.<\/span>add<span class=\"token punctuation\">(<\/span>Dense<span class=\"token punctuation\">(<\/span><span class=\"token number\">1024<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nmodel<span class=\"token punctuation\">.<\/span>add<span class=\"token punctuation\">(<\/span>Activation<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;relu&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nmodel<span class=\"token punctuation\">.<\/span>add<span class=\"token punctuation\">(<\/span>Dropout<span class=\"token punctuation\">(<\/span><span class=\"token number\">0.5<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u533a\u5206131\u7c7b<\/span><br \/>\nmodel<span class=\"token punctuation\">.<\/span>add<span class=\"token punctuation\">(<\/span>Dense<span class=\"token punctuation\">(<\/span>numberOfClass<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token comment\"># output<\/span><br \/>\nmodel<span class=\"token punctuation\">.<\/span>add<span class=\"token punctuation\">(<\/span>Activation<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;softmax&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nmodel<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">compile<\/span><span class=\"token punctuation\">(<\/span>loss <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;categorical_crossentropy&#034;<\/span><span class=\"token punctuation\">,<\/span><\/p>\n<p>              optimizer <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;rmsprop&#034;<\/span><span class=\"token punctuation\">,<\/span><\/p>\n<p>              metrics <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;accuracy&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;Target Size &#8211;&gt; &#034;<\/span><span class=\"token punctuation\">,<\/span> array_image<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">:<\/span><span class=\"token number\">2<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<h3>5.3 \u8bad\u7ec3\u6a21\u578b<\/h3>\n<p>train_datagen <span class=\"token operator\">&#061;<\/span> ImageDataGenerator<span class=\"token punctuation\">(<\/span>rescale<span class=\"token operator\">&#061;<\/span> <span class=\"token number\">1.<\/span><span class=\"token operator\">\/<\/span><span class=\"token number\">255<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                                   shear_range <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">0.3<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                                   horizontal_flip<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                                   zoom_range <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">0.3<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>test_datagen <span class=\"token operator\">&#061;<\/span> ImageDataGenerator<span class=\"token punctuation\">(<\/span>rescale<span class=\"token operator\">&#061;<\/span> <span class=\"token number\">1.<\/span><span class=\"token operator\">\/<\/span><span class=\"token number\">255<\/span><span class=\"token punctuation\">)<\/span><br \/>\nepochs <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">100<\/span><br \/>\nbatch_size <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">32<\/span><br \/>\ntrain_generator <span class=\"token operator\">&#061;<\/span> train_datagen<span class=\"token punctuation\">.<\/span>flow_from_directory<span class=\"token punctuation\">(<\/span><br \/>\n                train_dir<span class=\"token punctuation\">,<\/span><br \/>\n                target_size<span class=\"token operator\">&#061;<\/span> array_image<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">:<\/span><span class=\"token number\">2<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                batch_size <span class=\"token operator\">&#061;<\/span> batch_size<span class=\"token punctuation\">,<\/span><br \/>\n                color_mode<span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;rgb&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                class_mode<span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;categorical&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>test_generator <span class=\"token operator\">&#061;<\/span> test_datagen<span class=\"token punctuation\">.<\/span>flow_from_directory<span class=\"token punctuation\">(<\/span><br \/>\n                test_dir<span class=\"token punctuation\">,<\/span><br \/>\n                target_size<span class=\"token operator\">&#061;<\/span> array_image<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">:<\/span><span class=\"token number\">2<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                batch_size <span class=\"token operator\">&#061;<\/span> batch_size<span class=\"token punctuation\">,<\/span><br \/>\n                color_mode<span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;rgb&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                class_mode<span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;categorical&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">for<\/span> data_batch<span class=\"token punctuation\">,<\/span> labels_batch <span class=\"token keyword\">in<\/span> train_generator<span class=\"token punctuation\">:<\/span><br \/>\n    <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;data_batch shape &#8211;&gt; &#034;<\/span><span class=\"token punctuation\">,<\/span>data_batch<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;labels_batch shape &#8211;&gt; &#034;<\/span><span class=\"token punctuation\">,<\/span>labels_batch<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">break<\/span><\/p>\n<p>hist <span class=\"token operator\">&#061;<\/span> model<span class=\"token punctuation\">.<\/span>fit_generator<span class=\"token punctuation\">(<\/span><br \/>\n        generator <span class=\"token operator\">&#061;<\/span> train_generator<span class=\"token punctuation\">,<\/span><br \/>\n        steps_per_epoch <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">1600<\/span> <span class=\"token operator\">\/\/<\/span> batch_size<span class=\"token punctuation\">,<\/span><br \/>\n        epochs<span class=\"token operator\">&#061;<\/span>epochs<span class=\"token punctuation\">,<\/span><br \/>\n        validation_data <span class=\"token operator\">&#061;<\/span> test_generator<span class=\"token punctuation\">,<\/span><br \/>\n        validation_steps <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">800<\/span> <span class=\"token operator\">\/\/<\/span> batch_size<span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\">#\u4fdd\u5b58\u6a21\u578b model_fruits.h5<\/span><br \/>\nmodel<span class=\"token punctuation\">.<\/span>save<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;model_fruits.h5&#039;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>\u987a\u4fbf\u8f93\u51fa\u8bad\u7ec3\u66f2\u7ebf<\/p>\n<p><span class=\"token comment\">#\u5c55\u793a\u635f\u5931\u6a21\u578b\u7ed3\u679c<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>figure<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>plot<span class=\"token punctuation\">(<\/span>hist<span class=\"token punctuation\">.<\/span>history<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;loss&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span>label <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;Train Loss&#034;<\/span><span class=\"token punctuation\">,<\/span> color <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;black&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>plot<span class=\"token punctuation\">(<\/span>hist<span class=\"token punctuation\">.<\/span>history<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;val_loss&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span>label <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;Validation Loss&#034;<\/span><span class=\"token punctuation\">,<\/span> color <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;darkred&#034;<\/span><span class=\"token punctuation\">,<\/span> linestyle<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;dashed&#034;<\/span><span class=\"token punctuation\">,<\/span>markeredgecolor <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;purple&#034;<\/span><span class=\"token punctuation\">,<\/span> markeredgewidth <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>title<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;Model Loss&#034;<\/span><span class=\"token punctuation\">,<\/span> color <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;darkred&#034;<\/span><span class=\"token punctuation\">,<\/span> size <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">13<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>legend<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>show<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\">#\u5c55\u793a\u7cbe\u786e\u6a21\u578b\u7ed3\u679c<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>figure<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>plot<span class=\"token punctuation\">(<\/span>hist<span class=\"token punctuation\">.<\/span>history<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;accuracy&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span>label <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;Train Accuracy&#034;<\/span><span class=\"token punctuation\">,<\/span> color <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;black&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>plot<span class=\"token punctuation\">(<\/span>hist<span class=\"token punctuation\">.<\/span>history<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;val_accuracy&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span>label <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;Validation Accuracy&#034;<\/span><span class=\"token punctuation\">,<\/span> color <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;darkred&#034;<\/span><span class=\"token punctuation\">,<\/span> linestyle<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;dashed&#034;<\/span><span class=\"token punctuation\">,<\/span>markeredgecolor <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;purple&#034;<\/span><span class=\"token punctuation\">,<\/span> markeredgewidth <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>title<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;Model Accuracy&#034;<\/span><span class=\"token punctuation\">,<\/span> color <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;darkred&#034;<\/span><span class=\"token punctuation\">,<\/span> size <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">13<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>legend<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>show<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260728150046-6a68c41e6252a.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260728150046-6a68c41e7e351.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<h2>6 \u8bc6\u522b\u6548\u679c<\/h2>\n<p><span class=\"token keyword\">from<\/span> tensorflow<span class=\"token punctuation\">.<\/span>keras<span class=\"token punctuation\">.<\/span>models <span class=\"token keyword\">import<\/span> load_model<br \/>\n<span class=\"token keyword\">import<\/span> os<br \/>\n<span class=\"token keyword\">import<\/span> pandas <span class=\"token keyword\">as<\/span> pd<\/p>\n<p><span class=\"token keyword\">from<\/span> keras<span class=\"token punctuation\">.<\/span>preprocessing<span class=\"token punctuation\">.<\/span>image <span class=\"token keyword\">import<\/span> ImageDataGenerator<span class=\"token punctuation\">,<\/span>img_to_array<span class=\"token punctuation\">,<\/span> load_img<br \/>\n<span class=\"token keyword\">import<\/span> cv2<span class=\"token punctuation\">,<\/span>matplotlib<span class=\"token punctuation\">.<\/span>pyplot <span class=\"token keyword\">as<\/span> plt<span class=\"token punctuation\">,<\/span>numpy <span class=\"token keyword\">as<\/span> np<br \/>\n<span class=\"token keyword\">from<\/span> keras<span class=\"token punctuation\">.<\/span>preprocessing <span class=\"token keyword\">import<\/span> image<\/p>\n<p>train_datagen <span class=\"token operator\">&#061;<\/span> ImageDataGenerator<span class=\"token punctuation\">(<\/span>rescale<span class=\"token operator\">&#061;<\/span> <span class=\"token number\">1.<\/span><span class=\"token operator\">\/<\/span><span class=\"token number\">255<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                                    shear_range <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">0.3<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                                    horizontal_flip<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                                    zoom_range <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">0.3<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>model <span class=\"token operator\">&#061;<\/span> load_model<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;model_fruits.h5&#039;<\/span><span class=\"token punctuation\">)<\/span><br \/>\nbatch_size <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">32<\/span><br \/>\nimg <span class=\"token operator\">&#061;<\/span> load_img<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;.\/Test\/Apricot\/3_100.jpg&#034;<\/span><span class=\"token punctuation\">,<\/span>target_size<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">100<\/span><span class=\"token punctuation\">,<\/span><span class=\"token number\">100<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>imshow<span class=\"token punctuation\">(<\/span>img<span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>show<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>array_image <span class=\"token operator\">&#061;<\/span> img_to_array<span class=\"token punctuation\">(<\/span>img<span class=\"token punctuation\">)<\/span><br \/>\narray_image <span class=\"token operator\">&#061;<\/span> array_image <span class=\"token operator\">*<\/span> <span class=\"token number\">1.<\/span><span class=\"token operator\">\/<\/span><span class=\"token number\">255<\/span><br \/>\nx <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>expand_dims<span class=\"token punctuation\">(<\/span>array_image<span class=\"token punctuation\">,<\/span> axis<span class=\"token operator\">&#061;<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">)<\/span><br \/>\nimages <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>vstack<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">[<\/span>x<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><br \/>\nclasses <span class=\"token operator\">&#061;<\/span> model<span class=\"token punctuation\">.<\/span>predict_classes<span class=\"token punctuation\">(<\/span>images<span class=\"token punctuation\">,<\/span> batch_size<span class=\"token operator\">&#061;<\/span><span class=\"token number\">10<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span>classes<span class=\"token punctuation\">)<\/span><br \/>\ntrain_dir <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#039;.\/Training\/&#039;<\/span><\/p>\n<p>train_generator <span class=\"token operator\">&#061;<\/span> train_datagen<span class=\"token punctuation\">.<\/span>flow_from_directory<span class=\"token punctuation\">(<\/span><br \/>\n        train_dir<span class=\"token punctuation\">,<\/span><br \/>\n        target_size<span class=\"token operator\">&#061;<\/span> array_image<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">:<\/span><span class=\"token number\">2<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span><br \/>\n        batch_size <span class=\"token operator\">&#061;<\/span> batch_size<span class=\"token punctuation\">,<\/span><br \/>\n        color_mode<span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;rgb&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n        class_mode<span class=\"token operator\">&#061;<\/span> &#034;categorical\u201d<span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span>train_generator<span class=\"token punctuation\">.<\/span>class_indices<span class=\"token punctuation\">)<\/span><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260728150046-6a68c41e99c35.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<p>fig <span class=\"token operator\">&#061;<\/span> plt<span class=\"token punctuation\">.<\/span>figure<span class=\"token punctuation\">(<\/span>figsize<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">16<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">16<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\naxes <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">]<\/span><br \/>\nfiles <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">]<\/span><br \/>\npredictions <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">]<\/span><br \/>\ntrue_labels <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">]<\/span><br \/>\nrows <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">5<\/span><br \/>\ncols <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">2<\/span><\/p>\n<p><span class=\"token comment\"># \u968f\u673a\u9009\u62e9\u51e0\u4e2a\u56fe\u7247<\/span><br \/>\n<span class=\"token keyword\">def<\/span> <span class=\"token function\">getRandomImage<\/span><span class=\"token punctuation\">(<\/span>path<span class=\"token punctuation\">,<\/span> img_width<span class=\"token punctuation\">,<\/span> img_height<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    <span class=\"token triple-quoted-string string\">&#034;&#034;&#034;function loads a random image from a random folder in our test path&#034;&#034;&#034;<\/span><br \/>\n    folders <span class=\"token operator\">&#061;<\/span> <span class=\"token builtin\">list<\/span><span class=\"token punctuation\">(<\/span><span class=\"token builtin\">filter<\/span><span class=\"token punctuation\">(<\/span><span class=\"token keyword\">lambda<\/span> x<span class=\"token punctuation\">:<\/span> os<span class=\"token punctuation\">.<\/span>path<span class=\"token punctuation\">.<\/span>isdir<span class=\"token punctuation\">(<\/span>os<span class=\"token punctuation\">.<\/span>path<span class=\"token punctuation\">.<\/span>join<span class=\"token punctuation\">(<\/span>path<span class=\"token punctuation\">,<\/span> x<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> os<span class=\"token punctuation\">.<\/span>listdir<span class=\"token punctuation\">(<\/span>path<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    random_directory <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>random<span class=\"token punctuation\">.<\/span>randint<span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token builtin\">len<\/span><span class=\"token punctuation\">(<\/span>folders<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    path_class <span class=\"token operator\">&#061;<\/span> folders<span class=\"token punctuation\">[<\/span>random_directory<span class=\"token punctuation\">]<\/span><br \/>\n    file_path <span class=\"token operator\">&#061;<\/span> os<span class=\"token punctuation\">.<\/span>path<span class=\"token punctuation\">.<\/span>join<span class=\"token punctuation\">(<\/span>path<span class=\"token punctuation\">,<\/span> path_class<span class=\"token punctuation\">)<\/span><br \/>\n    file_names <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span>f <span class=\"token keyword\">for<\/span> f <span class=\"token keyword\">in<\/span> os<span class=\"token punctuation\">.<\/span>listdir<span class=\"token punctuation\">(<\/span>file_path<span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">if<\/span> os<span class=\"token punctuation\">.<\/span>path<span class=\"token punctuation\">.<\/span>isfile<span class=\"token punctuation\">(<\/span>os<span class=\"token punctuation\">.<\/span>path<span class=\"token punctuation\">.<\/span>join<span class=\"token punctuation\">(<\/span>file_path<span class=\"token punctuation\">,<\/span> f<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">]<\/span><br \/>\n    random_file_index <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>random<span class=\"token punctuation\">.<\/span>randint<span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token builtin\">len<\/span><span class=\"token punctuation\">(<\/span>file_names<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    image_name <span class=\"token operator\">&#061;<\/span> file_names<span class=\"token punctuation\">[<\/span>random_file_index<span class=\"token punctuation\">]<\/span><br \/>\n    final_path <span class=\"token operator\">&#061;<\/span> os<span class=\"token punctuation\">.<\/span>path<span class=\"token punctuation\">.<\/span>join<span class=\"token punctuation\">(<\/span>file_path<span class=\"token punctuation\">,<\/span> image_name<span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">return<\/span> image<span class=\"token punctuation\">.<\/span>load_img<span class=\"token punctuation\">(<\/span>final_path<span class=\"token punctuation\">,<\/span> target_size <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">(<\/span>img_width<span class=\"token punctuation\">,<\/span> img_height<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> final_path<span class=\"token punctuation\">,<\/span> path_class<\/p>\n<p><span class=\"token keyword\">def<\/span> <span class=\"token function\">draw_test<\/span><span class=\"token punctuation\">(<\/span>name<span class=\"token punctuation\">,<\/span> pred<span class=\"token punctuation\">,<\/span> im<span class=\"token punctuation\">,<\/span> true_label<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    BLACK <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><br \/>\n    expanded_image <span class=\"token operator\">&#061;<\/span> cv2<span class=\"token punctuation\">.<\/span>copyMakeBorder<span class=\"token punctuation\">(<\/span>im<span class=\"token punctuation\">,<\/span> <span class=\"token number\">160<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">300<\/span><span class=\"token punctuation\">,<\/span> cv2<span class=\"token punctuation\">.<\/span>BORDER_CONSTANT<span class=\"token punctuation\">,<\/span> value<span class=\"token operator\">&#061;<\/span>BLACK<span class=\"token punctuation\">)<\/span><br \/>\n    cv2<span class=\"token punctuation\">.<\/span>putText<span class=\"token punctuation\">(<\/span>expanded_image<span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;predicted: &#034;<\/span> <span class=\"token operator\">&#043;<\/span> pred<span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">(<\/span><span class=\"token number\">20<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">60<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> cv2<span class=\"token punctuation\">.<\/span>FONT_HERSHEY_SIMPLEX<span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token number\">0.85<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">(<\/span><span class=\"token number\">255<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    cv2<span class=\"token punctuation\">.<\/span>putText<span class=\"token punctuation\">(<\/span>expanded_image<span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;true: &#034;<\/span> <span class=\"token operator\">&#043;<\/span> true_label<span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">(<\/span><span class=\"token number\">20<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">120<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> cv2<span class=\"token punctuation\">.<\/span>FONT_HERSHEY_SIMPLEX<span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token number\">0.85<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">255<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">2<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">return<\/span> expanded_image<br \/>\nIMG_ROWS<span class=\"token punctuation\">,<\/span> IMG_COLS <span class=\"token operator\">&#061;<\/span> <span class=\"token number\">100<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">100<\/span><\/p>\n<p><span class=\"token comment\"># predicting images<\/span><br \/>\n<span class=\"token keyword\">for<\/span> i <span class=\"token keyword\">in<\/span> <span class=\"token builtin\">range<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">10<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    path <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;.\/Test&#034;<\/span><br \/>\n    img<span class=\"token punctuation\">,<\/span> final_path<span class=\"token punctuation\">,<\/span> true_label <span class=\"token operator\">&#061;<\/span> getRandomImage<span class=\"token punctuation\">(<\/span>path<span class=\"token punctuation\">,<\/span> IMG_ROWS<span class=\"token punctuation\">,<\/span> IMG_COLS<span class=\"token punctuation\">)<\/span><br \/>\n    files<span class=\"token punctuation\">.<\/span>append<span class=\"token punctuation\">(<\/span>final_path<span class=\"token punctuation\">)<\/span><br \/>\n    true_labels<span class=\"token punctuation\">.<\/span>append<span class=\"token punctuation\">(<\/span>true_label<span class=\"token punctuation\">)<\/span><br \/>\n    x <span class=\"token operator\">&#061;<\/span> image<span class=\"token punctuation\">.<\/span>img_to_array<span class=\"token punctuation\">(<\/span>img<span class=\"token punctuation\">)<\/span><br \/>\n    x <span class=\"token operator\">&#061;<\/span> x <span class=\"token operator\">*<\/span> <span class=\"token number\">1.<\/span><span class=\"token operator\">\/<\/span><span class=\"token number\">255<\/span><br \/>\n    x <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>expand_dims<span class=\"token punctuation\">(<\/span>x<span class=\"token punctuation\">,<\/span> axis<span class=\"token operator\">&#061;<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    images <span class=\"token operator\">&#061;<\/span> np<span class=\"token punctuation\">.<\/span>vstack<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">[<\/span>x<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    classes <span class=\"token operator\">&#061;<\/span> model<span class=\"token punctuation\">.<\/span>predict_classes<span class=\"token punctuation\">(<\/span>images<span class=\"token punctuation\">,<\/span> batch_size<span class=\"token operator\">&#061;<\/span><span class=\"token number\">10<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    predictions<span class=\"token punctuation\">.<\/span>append<span class=\"token punctuation\">(<\/span>classes<span class=\"token punctuation\">)<\/span><\/p>\n<p>class_labels <span class=\"token operator\">&#061;<\/span> train_generator<span class=\"token punctuation\">.<\/span>class_indices<br \/>\nclass_labels <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">{<\/span>v<span class=\"token punctuation\">:<\/span> k <span class=\"token keyword\">for<\/span> k<span class=\"token punctuation\">,<\/span> v <span class=\"token keyword\">in<\/span> class_labels<span class=\"token punctuation\">.<\/span>items<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">}<\/span><br \/>\nclass_list <span class=\"token operator\">&#061;<\/span> <span class=\"token builtin\">list<\/span><span class=\"token punctuation\">(<\/span>class_labels<span class=\"token punctuation\">.<\/span>values<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">for<\/span> i <span class=\"token keyword\">in<\/span> <span class=\"token builtin\">range<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token builtin\">len<\/span><span class=\"token punctuation\">(<\/span>files<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    image <span class=\"token operator\">&#061;<\/span> cv2<span class=\"token punctuation\">.<\/span>imread<span class=\"token punctuation\">(<\/span>files<span class=\"token punctuation\">[<\/span>i<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    image <span class=\"token operator\">&#061;<\/span> draw_test<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;Prediction&#034;<\/span><span class=\"token punctuation\">,<\/span> class_labels<span class=\"token punctuation\">[<\/span>predictions<span class=\"token punctuation\">[<\/span>i<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">[<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> image<span class=\"token punctuation\">,<\/span> true_labels<span class=\"token punctuation\">[<\/span>i<span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    axes<span class=\"token punctuation\">.<\/span>append<span class=\"token punctuation\">(<\/span>fig<span class=\"token punctuation\">.<\/span>add_subplot<span class=\"token punctuation\">(<\/span>rows<span class=\"token punctuation\">,<\/span> cols<span class=\"token punctuation\">,<\/span> i<span class=\"token operator\">&#043;<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    plt<span class=\"token punctuation\">.<\/span>imshow<span class=\"token punctuation\">(<\/span>cv2<span class=\"token punctuation\">.<\/span>cvtColor<span class=\"token punctuation\">(<\/span>image<span class=\"token punctuation\">,<\/span> cv2<span class=\"token punctuation\">.<\/span>COLOR_BGR2RGB<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    plt<span class=\"token punctuation\">.<\/span>grid<span class=\"token punctuation\">(<\/span><span class=\"token boolean\">False<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    plt<span class=\"token punctuation\">.<\/span>axis<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;off&#039;<\/span><span class=\"token punctuation\">)<\/span><br \/>\nplt<span class=\"token punctuation\">.<\/span>show<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260728150046-6a68c41ef15ce.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<p>\u9879\u76ee\u8fd0\u884c\u6548\u679c&#xff1a;<\/p>\n<\/p>\n<p>\u6bd5\u4e1a\u8bbe\u8ba1 \u6df1\u5ea6\u5b66\u4e60\u6c34\u679c\u5206\u7c7b\u7cfb\u7edf<\/p>\n<\/p>\n<p>&#x1f9ff;\u9879\u76ee\u5206\u4eab&#xff1a;\u89c1\u4e3b\u9875\u4efb\u610f\u7f6e\u9876\u6587\u7ae0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6587\u7ae0\u76ee\u5f55 1 \u524d\u8a002 \u5f00\u53d1\u7b80\u4ecb3 \u8bc6\u522b\u539f\u74063.1 \u4f20\u7edf\u56fe\u50cf\u8bc6\u522b\u539f\u74063.2 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