{"id":93601,"date":"2025-01-19T03:59:04","date_gmt":"2025-01-19T00:29:04","guid":{"rendered":"https:\/\/nabfollower.com\/blog\/pad-in-pytorch-10p6\/"},"modified":"2025-01-19T03:59:04","modified_gmt":"2025-01-19T00:29:04","slug":"pad-in-pytorch-10p6","status":"publish","type":"post","link":"https:\/\/nabfollower.com\/blog\/pad-in-pytorch-10p6\/","title":{"rendered":"\u067e\u062f \u062f\u0631 PyTorch"},"content":{"rendered":"<p>\u0628\u0631\u0627\u06cc \u0645\u0646 \u06cc\u06a9 \u0642\u0647\u0648\u0647 \u0628\u062e\u0631\u2615<\/p>\n<p>*\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:<\/p>\n<ul>\n<li>\n<p>\u067e\u0633\u062a \u0645\u0646 OxfordIIITPet() \u0631\u0627 \u062a\u0648\u0636\u06cc\u062d \u0645\u06cc \u062f\u0647\u062f.<\/li>\n<\/ul>\n<p>Pad() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0645\u0627\u0646\u0646\u062f \u062a\u0635\u0648\u06cc\u0631 \u0632\u06cc\u0631 padding \u0631\u0627 \u0628\u0647 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u062f:<\/p>\n<p>*\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:<\/p>\n<ul>\n<li>\u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0627\u0648\u0644 \u0628\u0631\u0627\u06cc \u0645\u0642\u062f\u0627\u0631\u062f\u0647\u06cc \u0627\u0648\u0644\u06cc\u0647 \u0627\u0633\u062a <code>padding<\/code>(\u0627\u0644\u0632\u0627\u0645\u06cc-\u0646\u0648\u0639:<code>int<\/code> \u06cc\u0627 <code>tuple<\/code>\/<code>list<\/code>(<code>int<\/code>)): *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:\n<ul>\n<li>\u0645\u06cc \u062a\u0648\u0627\u0646\u062f padding \u0631\u0627 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u062f.<\/li>\n<li>\u06cc\u06a9 \u062a\u0627\u067e\u0644\/\u0641\u0647\u0631\u0633\u062a \u0628\u0627\u06cc\u062f 1 \u0628\u0639\u062f\u06cc \u0628\u0627 2 \u06cc\u0627 4 \u0639\u0646\u0635\u0631 \u0628\u0627\u0634\u062f.<\/li>\n<\/ul>\n<\/li>\n<li>\u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u062f\u0648\u0645 \u0628\u0631\u0627\u06cc \u0645\u0642\u062f\u0627\u0631\u062f\u0647\u06cc \u0627\u0648\u0644\u06cc\u0647 \u0627\u0633\u062a <code>fill<\/code>(\u0627\u062e\u062a\u06cc\u0627\u0631\u06cc-\u067e\u06cc\u0634 \u0641\u0631\u0636:<code>0<\/code>-\u0646\u0648\u0639:<code>int<\/code>\u060c <code>float<\/code> \u06cc\u0627 <code>tuple<\/code>\/<code>list<\/code>(<code>int<\/code> \u06cc\u0627 <code>float<\/code>)): *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:\n<ul>\n<li>\u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u067e\u0633 \u0632\u0645\u06cc\u0646\u0647 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u062f. *\u067e\u0633 \u0632\u0645\u06cc\u0646\u0647 \u0647\u0646\u06af\u0627\u0645 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u0646 \u0628\u0627\u0644\u0634\u062a\u06a9 \u0628\u0631\u0627\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u0642\u0627\u0628\u0644 \u0645\u0634\u0627\u0647\u062f\u0647 \u0627\u0633\u062a.<\/li>\n<li>\u06cc\u06a9 \u062a\u0627\u067e\u0644\/\u0644\u06cc\u0633\u062a \u0628\u0627\u06cc\u062f 1 \u0628\u0639\u062f\u06cc \u0628\u0627 3 \u0639\u0646\u0635\u0631 \u0628\u0627\u0634\u062f.<\/li>\n<\/ul>\n<\/li>\n<li>\u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0633\u0648\u0645 \u0628\u0631\u0627\u06cc \u0645\u0642\u062f\u0627\u0631\u062f\u0647\u06cc \u0627\u0648\u0644\u06cc\u0647 \u0627\u0633\u062a <code>padding_mode<\/code>(\u0627\u062e\u062a\u06cc\u0627\u0631\u06cc-\u067e\u06cc\u0634 \u0641\u0631\u0636:<code>'constant'<\/code>-\u0646\u0648\u0639:<code>str<\/code>). *<code>'constant'<\/code>\u060c <code>'edge'<\/code>\u060c <code>'reflect'<\/code> \u06cc\u0627 <code>'symmetric'<\/code> \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0631\u0648\u06cc \u0622\u0646 \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0631\u062f.<\/li>\n<li>\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0627\u0648\u0644 \u0627\u06cc\u0646 \u0627\u0633\u062a <code>img<\/code>(\u0627\u0644\u0632\u0627\u0645\u06cc-\u0646\u0648\u0639:<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>\u0628\u0627\u06cc\u062f \u06cc\u06a9 \u062a\u0627\u0646\u0633\u0648\u0631 \u0633\u0647 \u0628\u0639\u062f\u06cc \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 D \u0628\u0627\u0634\u062f.<\/li>\n<li>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0646\u06a9\u0646\u06cc\u062f <code>img=<\/code>.<\/li>\n<\/ul>\n<\/li>\n<li>\n<code>v2<\/code>  \u062a\u0648\u0635\u06cc\u0647 \u0645\u06cc \u0634\u0648\u062f \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 V1 \u06cc\u0627 V2 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f\u061f \u0627\u0632 \u06a9\u062f\u0627\u0645 \u06cc\u06a9 \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\">Pad<\/span>\n\n<span class=\"n\">pad<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">pad<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span> <span class=\"n\">fill<\/span><span class=\"o\">=<\/span><span class=\"mi\">0<\/span><span class=\"p\">,<\/span> <span class=\"n\">padding_mode<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">constant<\/span><span class=\"sh\">'<\/span><span class=\"p\">)<\/span>\n\n<span class=\"n\">pad<\/span>\n<span class=\"c1\"># Pad(padding=100, fill=0, padding_mode=constant)\n<\/span>\n<span class=\"n\">pad<\/span><span class=\"p\">.<\/span><span class=\"n\">padding<\/span>\n<span class=\"c1\"># 100\n<\/span>\n<span class=\"n\">pad<\/span><span class=\"p\">.<\/span><span class=\"n\">fill<\/span>\n<span class=\"c1\"># 0\n<\/span>\n<span class=\"n\">pad<\/span><span class=\"p\">.<\/span><span class=\"n\">padding_mode<\/span>\n<span class=\"c1\"># 'constant'\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=\"c1\"># transform=Pad(padding=0)\n<\/span><span class=\"p\">)<\/span>\n\n<span class=\"n\">p50_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\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=<\/span><span class=\"mi\">50<\/span><span class=\"p\">)<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p100_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\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/span><span class=\"p\">)<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p150_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\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=<\/span><span class=\"mi\">150<\/span><span class=\"p\">)<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">m50_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\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=-<\/span><span class=\"mi\">50<\/span><span class=\"p\">)<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">m100_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\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=-<\/span><span class=\"mi\">100<\/span><span class=\"p\">)<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">m150_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\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=-<\/span><span class=\"mi\">150<\/span><span class=\"p\">)<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p100p50_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\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span> <span class=\"mi\">50<\/span><span class=\"p\">])<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">m100m50_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\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"o\">-<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">50<\/span><span class=\"p\">])<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p100m50_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\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">50<\/span><span class=\"p\">])<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p25p50p75p100_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\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"mi\">25<\/span><span class=\"p\">,<\/span> <span class=\"mi\">50<\/span><span class=\"p\">,<\/span> <span class=\"mi\">75<\/span><span class=\"p\">,<\/span> <span class=\"mi\">100<\/span><span class=\"p\">])<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">m25m50m75m100_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\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"o\">-<\/span><span class=\"mi\">25<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">50<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">75<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">100<\/span><span class=\"p\">])<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p25m50p75m100_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\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"mi\">25<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">50<\/span><span class=\"p\">,<\/span> <span class=\"mi\">75<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">100<\/span><span class=\"p\">])<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p100fillgray_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\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span> <span class=\"n\">fill<\/span><span class=\"o\">=<\/span><span class=\"mi\">150<\/span><span class=\"p\">)<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p100fillpurple_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\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span> <span class=\"n\">fill<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"mi\">160<\/span><span class=\"p\">,<\/span> <span class=\"mi\">32<\/span><span class=\"p\">,<\/span> <span class=\"mi\">240<\/span><span class=\"p\">])<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p100edge_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\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span> <span class=\"n\">padding_mode<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">edge<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p100reflect_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\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span> <span class=\"n\">padding_mode<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">reflect<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p100symmetric_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\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span> <span class=\"n\">padding_mode<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">symmetric<\/span><span class=\"sh\">\"<\/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\">show_images1<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p50_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">p50_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\">p100_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">p100_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\">p150_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">p150_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\">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\">show_images1<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">m50_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">m50_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\">m100_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">m100_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\">m150_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">m150_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\">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\">show_images1<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p100p50_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">p100p50_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\">m100m50_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">m100m50_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\">p100m50_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">p100m50_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\">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\">show_images1<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p25p50p75p100_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">p25p50p75p100_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\">m25m50m75m100_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">m25m50m75m100_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\">p25m50p75m100_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">p25m50p75m100_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\">p100fillgray_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">p100fillgray_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\">p100fillpurple_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">p100fillpurple_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\">p100edge_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">p100edge_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\">p100reflect_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">p100reflect_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\">p100symmetric_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">p100symmetric_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\">p<\/span><span class=\"o\">=<\/span><span class=\"mi\">0<\/span><span class=\"p\">,<\/span> <span class=\"n\">f<\/span><span class=\"o\">=<\/span><span class=\"mi\">0<\/span><span class=\"p\">,<\/span> <span class=\"n\">pm<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">constant<\/span><span class=\"sh\">'<\/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\">pad<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">Pad<\/span><span class=\"p\">(<\/span><span class=\"n\">padding<\/span><span class=\"o\">=<\/span><span class=\"n\">p<\/span><span class=\"p\">,<\/span> <span class=\"n\">fill<\/span><span class=\"o\">=<\/span><span class=\"n\">f<\/span><span class=\"p\">,<\/span> <span class=\"n\">padding_mode<\/span><span class=\"o\">=<\/span><span class=\"n\">pm<\/span><span class=\"p\">)<\/span> <span class=\"c1\"># Here\n<\/span>        <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\">pad<\/span><span class=\"p\">(<\/span><span class=\"n\">im<\/span><span class=\"p\">))<\/span> <span class=\"c1\"># Here\n<\/span>        <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\">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\">p50_data<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span> <span class=\"n\">p<\/span><span class=\"o\">=<\/span><span class=\"mi\">50<\/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\">p100_data<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span> <span class=\"n\">p<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/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\">p150_data<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span> <span class=\"n\">p<\/span><span class=\"o\">=<\/span><span class=\"mi\">150<\/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\">origin_data<\/span><span class=\"sh\">'<\/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\">m50_data<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span> <span class=\"n\">p<\/span><span class=\"o\">=-<\/span><span class=\"mi\">50<\/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\">m100_data<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span> <span class=\"n\">p<\/span><span class=\"o\">=-<\/span><span class=\"mi\">100<\/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\">m150_data<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span> <span class=\"n\">p<\/span><span class=\"o\">=-<\/span><span class=\"mi\">150<\/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\">origin_data<\/span><span class=\"sh\">'<\/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\">p100p50_data<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span> <span class=\"n\">p<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span> <span class=\"mi\">50<\/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\">m100m50_data<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span> <span class=\"n\">p<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"o\">-<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">50<\/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\">p100m50_data<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span> <span class=\"n\">p<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">50<\/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\">origin_data<\/span><span class=\"sh\">'<\/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\">p25p50p75p100_data<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span>\n             <span class=\"n\">p<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"mi\">25<\/span><span class=\"p\">,<\/span> <span class=\"mi\">50<\/span><span class=\"p\">,<\/span> <span class=\"mi\">75<\/span><span class=\"p\">,<\/span> <span class=\"mi\">100<\/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\">m25m50m75m100_data<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span>\n             <span class=\"n\">p<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"o\">-<\/span><span class=\"mi\">25<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">50<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">75<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">100<\/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\">p25m50p75m100_data<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span>\n             <span class=\"n\">p<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"mi\">25<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">50<\/span><span class=\"p\">,<\/span> <span class=\"mi\">75<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mi\">100<\/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\">p100fillgray_data<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span> <span class=\"n\">p<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span>\n             <span class=\"n\">f<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"mi\">150<\/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\">p100fillpurple_data<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span> <span class=\"n\">p<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span>\n             <span class=\"n\">f<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"mi\">160<\/span><span class=\"p\">,<\/span> <span class=\"mi\">32<\/span><span class=\"p\">,<\/span> <span class=\"mi\">240<\/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\">p100edge_data<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span> <span class=\"n\">p<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span> \n             <span class=\"n\">pm<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">edge<\/span><span class=\"sh\">'<\/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\">p100reflect_data<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span> <span class=\"n\">p<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span>\n             <span class=\"n\">pm<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">reflect<\/span><span class=\"sh\">'<\/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\">p100symmetric_data<\/span><span class=\"sh\">'<\/span><span class=\"p\">,<\/span> <span class=\"n\">p<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span>\n             <span class=\"n\">pm<\/span><span class=\"o\">=<\/span><span class=\"sh\">'<\/span><span class=\"s\">symmetric<\/span><span class=\"sh\">'<\/span><span class=\"p\">)<\/span>\n<\/code><\/pre>\n<\/div>\n<p><\/p>\n<p><img loading=\"lazy\" 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%2Fsrbzq3o1844dx2i2lwj7.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"242\" title=\"\"><\/p>\n<p><img loading=\"lazy\" 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%2Floob9va2a4adcc2bsdg6.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"239\" title=\"\"><\/p>\n<p><img loading=\"lazy\" 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%2Ftud40c8wf4eogcblcena.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"237\" title=\"\"><\/p>\n<p><img loading=\"lazy\" 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=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"247\" title=\"\"><\/p>\n<p><img loading=\"lazy\" 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%2Fdmn9wtxkb5o1qbb82y56.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"252\" title=\"\"><\/p>\n<p><img loading=\"lazy\" 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%2Fj9ipskn16593bk9rmoza.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"266\" title=\"\"><\/p>\n<p><img loading=\"lazy\" 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%2Fkumztpi3pjvxdj529f9g.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"330\" title=\"\"><\/p>\n<p><img loading=\"lazy\" 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=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"247\" title=\"\"><\/p>\n<p><img loading=\"lazy\" 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%2F7i68vrj85r49s295p2ka.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"227\" title=\"\"><\/p>\n<p><img loading=\"lazy\" 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%2F08uespvdsz2vm9o47698.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"320\" title=\"\"><\/p>\n<p><img loading=\"lazy\" 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%2F7zoyyiyuqhn4ax3d96rl.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"202\" title=\"\"><\/p>\n<p><img loading=\"lazy\" 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=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"247\" title=\"\"><\/p>\n<p><img loading=\"lazy\" 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%2F2uoh0wxto0bpx5vke5c5.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"249\" title=\"\"><\/p>\n<p><img loading=\"lazy\" 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%2Fyeq8yy45a31088qgas37.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"240\" title=\"\"><\/p>\n<p><img loading=\"lazy\" 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%2F4v2hr6suan6kvjml6fzc.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"204\" title=\"\"><\/p>\n<p><img loading=\"lazy\" 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%2Fme80bg2dc0d8ojxotrn0.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"239\" title=\"\"><\/p>\n<p><img loading=\"lazy\" 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%2Fuk1zzkx7f4yrqphwkb52.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"238\" title=\"\"><\/p>\n<p><img loading=\"lazy\" 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%2Fqwnpx3hvruoyz2cfbq0f.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"239\" title=\"\"><\/p>\n<p><img loading=\"lazy\" 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%2F9cur4q6xb1cwvldmjxg5.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"239\" title=\"\"><\/p>\n<p><img loading=\"lazy\" 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%2Ft7vw55w3znsiyoogd6go.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" width=\"800\" height=\"238\" title=\"\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0628\u0631\u0627\u06cc \u0645\u0646 \u06cc\u06a9 \u0642\u0647\u0648\u0647 \u0628\u062e\u0631\u2615 *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627: \u067e\u0633\u062a \u0645\u0646 OxfordIIITPet() \u0631\u0627 \u062a\u0648\u0636\u06cc\u062d \u0645\u06cc \u062f\u0647\u062f. Pad() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0645\u0627\u0646\u0646\u062f \u062a\u0635\u0648\u06cc\u0631 \u0632\u06cc\u0631 padding \u0631\u0627 \u0628\u0647 \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u062f: *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627: \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0627\u0648\u0644 \u0628\u0631\u0627\u06cc \u0645\u0642\u062f\u0627\u0631\u062f\u0647\u06cc \u0627\u0648\u0644\u06cc\u0647 \u0627\u0633\u062a padding(\u0627\u0644\u0632\u0627\u0645\u06cc-\u0646\u0648\u0639:int \u06cc\u0627 tuple\/list(int)): *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627: \u0645\u06cc \u062a\u0648\u0627\u0646\u062f padding \u0631\u0627 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u062f. \u06cc\u06a9 \u062a\u0627\u067e\u0644\/\u0641\u0647\u0631\u0633\u062a \u0628\u0627\u06cc\u062f 1 \u0628\u0639\u062f\u06cc \u0628\u0627 2 \u06cc\u0627 &hellip;<\/p>\n","protected":false},"author":2,"featured_media":93602,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"","fifu_image_alt":"","footnotes":""},"categories":[339],"tags":[],"class_list":["post-93601","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\/93601","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=93601"}],"version-history":[{"count":0,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/93601\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media\/93602"}],"wp:attachment":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media?parent=93601"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/categories?post=93601"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/tags?post=93601"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}