{"id":97845,"date":"2025-02-17T07:22:42","date_gmt":"2025-02-17T03:52:42","guid":{"rendered":"https:\/\/nabfollower.com\/blog\/randominvert-%d8%af%d8%b1-pytorch-community-dev\/"},"modified":"2025-02-17T07:22:42","modified_gmt":"2025-02-17T03:52:42","slug":"randominvert-%d8%af%d8%b1-pytorch-community-dev","status":"publish","type":"post","link":"https:\/\/nabfollower.com\/blog\/randominvert-%d8%af%d8%b1-pytorch-community-dev\/","title":{"rendered":"RandomInvert \u062f\u0631 Pytorch &#8211; Community Dev"},"content":{"rendered":"<div data-article-id=\"2282890\" id=\"article-body\">\n<p>\u0628\u0631\u0627\u06cc \u0645\u0646 \u06cc\u06a9 \u0642\u0647\u0648\u0647 \u0628\u062e\u0631<\/p>\n<p>*\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:<\/p>\n<p>RandomInvert () \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0647 \u0637\u0648\u0631 \u062a\u0635\u0627\u062f\u0641\u06cc \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u0645\u0637\u0627\u0628\u0642 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0645\u0639\u06a9\u0648\u0633 \u06a9\u0646\u062f:<\/p>\n<p>*\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:<\/p>\n<ul>\n<li>\u0627\u0648\u0644\u06cc\u0646 \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0628\u0631\u0627\u06cc \u0627\u0648\u0644\u06cc\u0647 \u0633\u0627\u0632\u06cc \u0627\u0633\u062a <code>p<\/code>(\u067e\u06cc\u0634 \u0641\u0631\u0636 \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc:<code>0.5<\/code>\u0646\u0648\u0639:<code>int<\/code> \u06cc\u0627 <code>float<\/code>): *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:\n<ul>\n<li>\u0627\u06cc\u0646 \u0627\u062d\u062a\u0645\u0627\u0644 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0648\u0627\u0631\u0648\u0646\u0647 \u0634\u062f\u0647 \u0628\u0627\u0634\u062f \u06cc\u0627 \u062e\u06cc\u0631.<\/li>\n<li>\u0628\u0627\u06cc\u062f \u0628\u0627\u0634\u062f <code>0 &lt;= x &lt;= 1<\/code>\u0628\u0634\u0631<\/li>\n<\/ul>\n<\/li>\n<li>\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0627\u0648\u0644 \u0627\u0633\u062a <code>img<\/code>(\u0646\u0648\u0639 \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632:<code>PIL Image<\/code> \u06cc\u0627 <code>tensor<\/code>(<code>int<\/code>)): *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:\n<ul>\n<li>\u062a\u0627\u0646\u0633\u0648\u0631 \u0628\u0627\u06cc\u062f 2D \u06cc\u0627 3D \u0628\u0627\u0634\u062f.<\/li>\n<li>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0646\u06a9\u0646\u06cc\u062f <code>img=<\/code>\u0628\u0634\u0631<\/li>\n<\/ul>\n<\/li>\n<li>\n<code>v2<\/code>  \u062a\u0648\u0635\u06cc\u0647 \u0645\u06cc \u0634\u0648\u062f \u0645\u0637\u0627\u0628\u0642 V1 \u06cc\u0627 V2 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f\u061f \u0627\u0632 \u06a9\u062f\u0627\u0645 \u06cc\u06a9 \u0628\u0627\u06cc\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u0645\u061f\n<\/li>\n<\/ul>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight python\"><code><span class=\"kn\">from<\/span> <span class=\"n\">torchvision.datasets<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">OxfordIIITPet<\/span>\n<span class=\"kn\">from<\/span> <span class=\"n\">torchvision.transforms.v2<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">RandomInvert<\/span>\n\n<span class=\"n\">randominvert<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">RandomInvert<\/span><span class=\"p\">()<\/span>\n<span class=\"n\">randominvert<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">RandomInvert<\/span><span class=\"p\">(<\/span><span class=\"n\">p<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.5<\/span><span class=\"p\">)<\/span>\n\n<span class=\"n\">randominvert<\/span>\n<span class=\"c1\"># RandomInvert(p=0.5)\n<\/span>\n<span class=\"n\">randominvert<\/span><span class=\"p\">.<\/span><span class=\"n\">p<\/span> \n<span class=\"c1\"># 0.5\n<\/span>\n<span class=\"n\">origin_data<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">OxfordIIITPet<\/span><span class=\"p\">(<\/span>\n    <span class=\"n\">root<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span>\n    <span class=\"n\">transform<\/span><span class=\"o\">=<\/span><span class=\"bp\">None<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p0_data<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">OxfordIIITPet<\/span><span class=\"p\">(<\/span>\n    <span class=\"n\">root<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span>\n    <span class=\"n\">transform<\/span><span class=\"o\">=<\/span><span class=\"nc\">RandomInvert<\/span><span class=\"p\">(<\/span><span class=\"n\">p<\/span><span class=\"o\">=<\/span><span class=\"mi\">0<\/span><span class=\"p\">)<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p05_data<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">OxfordIIITPet<\/span><span class=\"p\">(<\/span>\n    <span class=\"n\">root<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span>\n    <span class=\"n\">transform<\/span><span class=\"o\">=<\/span><span class=\"nc\">RandomInvert<\/span><span class=\"p\">(<\/span><span class=\"n\">p<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.5<\/span><span class=\"p\">)<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p1_data<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">OxfordIIITPet<\/span><span class=\"p\">(<\/span>\n    <span class=\"n\">root<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span>\n    <span class=\"n\">transform<\/span><span class=\"o\">=<\/span><span class=\"nc\">RandomInvert<\/span><span class=\"p\">(<\/span><span class=\"n\">p<\/span><span class=\"o\">=<\/span><span class=\"mi\">1<\/span><span class=\"p\">)<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"kn\">import<\/span> <span class=\"n\">matplotlib.pyplot<\/span> <span class=\"k\">as<\/span> <span class=\"n\">plt<\/span>\n\n<span class=\"k\">def<\/span> <span class=\"nf\">show_images1<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"bp\">None<\/span><span class=\"p\">):<\/span>\n    <span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">figure<\/span><span class=\"p\">(<\/span><span class=\"n\">figsize<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"mi\">10<\/span><span class=\"p\">,<\/span> <span class=\"mi\">5<\/span><span class=\"p\">])<\/span>\n    <span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">suptitle<\/span><span class=\"p\">(<\/span><span class=\"n\">t<\/span><span class=\"o\">=<\/span><span class=\"n\">main_title<\/span><span class=\"p\">,<\/span> <span class=\"n\">y<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.8<\/span><span class=\"p\">,<\/span> <span class=\"n\">fontsize<\/span><span class=\"o\">=<\/span><span class=\"mi\">14<\/span><span class=\"p\">)<\/span>\n    <span class=\"k\">for<\/span> <span class=\"n\">i<\/span><span class=\"p\">,<\/span> <span class=\"p\">(<\/span><span class=\"n\">im<\/span><span class=\"p\">,<\/span> <span class=\"n\">_<\/span><span class=\"p\">)<\/span> <span class=\"ow\">in<\/span> <span class=\"nf\">zip<\/span><span class=\"p\">(<\/span><span class=\"nf\">range<\/span><span class=\"p\">(<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"mi\">6<\/span><span class=\"p\">),<\/span> <span class=\"n\">data<\/span><span class=\"p\">):<\/span>\n        <span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">subplot<\/span><span class=\"p\">(<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"mi\">5<\/span><span class=\"p\">,<\/span> <span class=\"n\">i<\/span><span class=\"p\">)<\/span>\n        <span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">imshow<\/span><span class=\"p\">(<\/span><span class=\"n\">X<\/span><span class=\"o\">=<\/span><span class=\"n\">im<\/span><span class=\"p\">)<\/span>\n        <span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">xticks<\/span><span class=\"p\">(<\/span><span class=\"n\">ticks<\/span><span class=\"o\">=<\/span><span class=\"p\">[])<\/span>\n        <span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">yticks<\/span><span class=\"p\">(<\/span><span class=\"n\">ticks<\/span><span class=\"o\">=<\/span><span class=\"p\">[])<\/span>\n    <span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">tight_layout<\/span><span class=\"p\">()<\/span>\n    <span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">show<\/span><span class=\"p\">()<\/span>\n\n<span class=\"nf\">show_images1<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">origin_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">origin_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">print<\/span><span class=\"p\">()<\/span>\n<span class=\"nf\">show_images1<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p0_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p0_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images1<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p0_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p0_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images1<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p0_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p0_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">print<\/span><span class=\"p\">()<\/span>\n<span class=\"nf\">show_images1<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p05_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p05_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images1<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p05_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p05_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images1<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p05_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p05_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">print<\/span><span class=\"p\">()<\/span>\n<span class=\"nf\">show_images1<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p1_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p1_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images1<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p1_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p1_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images1<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p1_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p1_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n\n<span class=\"c1\"># \u2193 \u2193 \u2193 \u2193 \u2193 \u2193 The code below is identical to the code above. \u2193 \u2193 \u2193 \u2193 \u2193 \u2193\n<\/span><span class=\"k\">def<\/span> <span class=\"nf\">show_images2<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"bp\">None<\/span><span class=\"p\">,<\/span> <span class=\"n\">prob<\/span><span class=\"o\">=<\/span><span class=\"mi\">0<\/span><span class=\"p\">):<\/span>\n    <span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">figure<\/span><span class=\"p\">(<\/span><span class=\"n\">figsize<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"mi\">10<\/span><span class=\"p\">,<\/span> <span class=\"mi\">5<\/span><span class=\"p\">])<\/span>\n    <span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">suptitle<\/span><span class=\"p\">(<\/span><span class=\"n\">t<\/span><span class=\"o\">=<\/span><span class=\"n\">main_title<\/span><span class=\"p\">,<\/span> <span class=\"n\">y<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.8<\/span><span class=\"p\">,<\/span> <span class=\"n\">fontsize<\/span><span class=\"o\">=<\/span><span class=\"mi\">14<\/span><span class=\"p\">)<\/span>\n    <span class=\"k\">for<\/span> <span class=\"n\">i<\/span><span class=\"p\">,<\/span> <span class=\"p\">(<\/span><span class=\"n\">im<\/span><span class=\"p\">,<\/span> <span class=\"n\">_<\/span><span class=\"p\">)<\/span> <span class=\"ow\">in<\/span> <span class=\"nf\">zip<\/span><span class=\"p\">(<\/span><span class=\"nf\">range<\/span><span class=\"p\">(<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"mi\">6<\/span><span class=\"p\">),<\/span> <span class=\"n\">data<\/span><span class=\"p\">):<\/span>\n        <span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">subplot<\/span><span class=\"p\">(<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"mi\">5<\/span><span class=\"p\">,<\/span> <span class=\"n\">i<\/span><span class=\"p\">)<\/span>\n        <span class=\"n\">ri<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">RandomInvert<\/span><span class=\"p\">(<\/span><span class=\"n\">p<\/span><span class=\"o\">=<\/span><span class=\"n\">prob<\/span><span class=\"p\">)<\/span>\n        <span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">imshow<\/span><span class=\"p\">(<\/span><span class=\"n\">X<\/span><span class=\"o\">=<\/span><span class=\"nf\">ri<\/span><span class=\"p\">(<\/span><span class=\"n\">im<\/span><span class=\"p\">))<\/span>\n        <span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">xticks<\/span><span class=\"p\">(<\/span><span class=\"n\">ticks<\/span><span class=\"o\">=<\/span><span class=\"p\">[])<\/span>\n        <span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">yticks<\/span><span class=\"p\">(<\/span><span class=\"n\">ticks<\/span><span class=\"o\">=<\/span><span class=\"p\">[])<\/span>\n    <span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">tight_layout<\/span><span class=\"p\">()<\/span>\n    <span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">show<\/span><span class=\"p\">()<\/span>\n\n<span class=\"nf\">show_images2<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">origin_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">origin_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">print<\/span><span class=\"p\">()<\/span>\n<span class=\"nf\">show_images2<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">origin_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p0_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">prob<\/span><span class=\"o\">=<\/span><span class=\"mi\">0<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images2<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">origin_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p0_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">prob<\/span><span class=\"o\">=<\/span><span class=\"mi\">0<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images2<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">origin_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p0_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">prob<\/span><span class=\"o\">=<\/span><span class=\"mi\">0<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">print<\/span><span class=\"p\">()<\/span>\n<span class=\"nf\">show_images2<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">origin_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p05_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">prob<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.5<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images2<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">origin_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p05_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">prob<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.5<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images2<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">origin_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p05_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">prob<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.5<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">print<\/span><span class=\"p\">()<\/span>\n<span class=\"nf\">show_images2<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">origin_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p1_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">prob<\/span><span class=\"o\">=<\/span><span class=\"mi\">1<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images2<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">origin_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p1_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">prob<\/span><span class=\"o\">=<\/span><span class=\"mi\">1<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images2<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">origin_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p1_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">prob<\/span><span class=\"o\">=<\/span><span class=\"mi\">1<\/span><span class=\"p\">)<\/span>\n<\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0631\u0627 \u0648\u0627\u0631\u062f \u06a9\u0646\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><img decoding=\"async\" src=\"https:\/\/media2.dev.to\/dynamic\/image\/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto\/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fcf7nhodawaohnpx9eenx.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"247\" title=\"\"><\/p>\n<hr\/>\n<p><img decoding=\"async\" src=\"https:\/\/media2.dev.to\/dynamic\/image\/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto\/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Farvhhrybesz7rhb50ah7.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"244\" title=\"\"><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/media2.dev.to\/dynamic\/image\/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto\/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Farvhhrybesz7rhb50ah7.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"244\" title=\"\"><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/media2.dev.to\/dynamic\/image\/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto\/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Farvhhrybesz7rhb50ah7.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"244\" title=\"\"><\/p>\n<hr\/>\n<p><img decoding=\"async\" src=\"https:\/\/media2.dev.to\/dynamic\/image\/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto\/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F4yun08fkq2eazsljd8sp.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"244\" title=\"\"><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/media2.dev.to\/dynamic\/image\/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto\/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fpqw55gko5umu8tte7a27.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"244\" title=\"\"><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/media2.dev.to\/dynamic\/image\/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto\/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F4f621jpo7heih4048k77.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"244\" title=\"\"><\/p>\n<hr\/>\n<p><img decoding=\"async\" src=\"https:\/\/media2.dev.to\/dynamic\/image\/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto\/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fl0iugz95dk1npotk51dz.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"245\" title=\"\"><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/media2.dev.to\/dynamic\/image\/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto\/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fl0iugz95dk1npotk51dz.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"245\" title=\"\"><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/media2.dev.to\/dynamic\/image\/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto\/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fl0iugz95dk1npotk51dz.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"245\" title=\"\"><\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u0628\u0631\u0627\u06cc \u0645\u0646 \u06cc\u06a9 \u0642\u0647\u0648\u0647 \u0628\u062e\u0631 *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627: RandomInvert () \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0647 \u0637\u0648\u0631 \u062a\u0635\u0627\u062f\u0641\u06cc \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u0645\u0637\u0627\u0628\u0642 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0645\u0639\u06a9\u0648\u0633 \u06a9\u0646\u062f: *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627: \u0627\u0648\u0644\u06cc\u0646 \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0628\u0631\u0627\u06cc \u0627\u0648\u0644\u06cc\u0647 \u0633\u0627\u0632\u06cc \u0627\u0633\u062a p(\u067e\u06cc\u0634 \u0641\u0631\u0636 \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc:0.5\u0646\u0648\u0639:int \u06cc\u0627 float): *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627: \u0627\u06cc\u0646 \u0627\u062d\u062a\u0645\u0627\u0644 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0648\u0627\u0631\u0648\u0646\u0647 \u0634\u062f\u0647 \u0628\u0627\u0634\u062f \u06cc\u0627 \u062e\u06cc\u0631. \u0628\u0627\u06cc\u062f \u0628\u0627\u0634\u062f 0 &lt;= x &lt;= &hellip;<\/p>\n","protected":false},"author":2,"featured_media":97846,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/media2.dev.to\/dynamic\/image\/width=1000,height=500,fit=cover,gravity=auto,format=auto\/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fem8k9dq02mari2084x3j.png","fifu_image_alt":"","footnotes":""},"categories":[339],"tags":[],"class_list":["post-97845","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dev"],"_links":{"self":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/97845","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/comments?post=97845"}],"version-history":[{"count":0,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/97845\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media\/97846"}],"wp:attachment":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media?parent=97845"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/categories?post=97845"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/tags?post=97845"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}