{"id":96652,"date":"2025-02-09T04:00:46","date_gmt":"2025-02-09T00:30:46","guid":{"rendered":"https:\/\/nabfollower.com\/blog\/randomcrop-%d8%af%d8%b1-pytorch-1-community-dev\/"},"modified":"2025-02-09T04:00:46","modified_gmt":"2025-02-09T00:30:46","slug":"randomcrop-%d8%af%d8%b1-pytorch-1-community-dev","status":"publish","type":"post","link":"https:\/\/nabfollower.com\/blog\/randomcrop-%d8%af%d8%b1-pytorch-1-community-dev\/","title":{"rendered":"RandomCrop \u062f\u0631 Pytorch (1) &#8211; Community Dev"},"content":{"rendered":"<div data-article-id=\"2266753\" 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>RandomCrop () \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u0628\u0647 \u0637\u0648\u0631 \u062a\u0635\u0627\u062f\u0641\u06cc \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a \u060c \u062e\u0631\u062f \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>size<\/code>(\u0646\u0648\u0639 \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632:<code>int<\/code> \u06cc\u0627 <code>tuple\/list<\/code>(<code>int<\/code>) \u06cc\u0627 \u0627\u0646\u062f\u0627\u0632\u0647 ()): *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:\n<ul>\n<li>\u0627\u06cc\u0646 \u0627\u0633\u062a <code>[height, width]<\/code>\u0628\u0634\u0631<\/li>\n<li>\u0628\u0627\u06cc\u062f \u0628\u0627\u0634\u062f <code>1 &lt;= x<\/code>\u0628\u0634\u0631<\/li>\n<li>\u06cc\u06a9 \u0644\u06cc\u0633\u062a\/\u0644\u06cc\u0633\u062a \u0628\u0627\u06cc\u062f 1D \u0628\u0627 1 \u06cc\u0627 2 \u0639\u0646\u0635\u0631 \u0628\u0627\u0634\u062f.<\/li>\n<li>\u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0648\u0627\u062d\u062f (<code>int<\/code> \u06cc\u0627 <code>tuple\/list<\/code>(<code>int<\/code>)) \u06cc\u0639\u0646\u06cc <code>[size, size]<\/code>\u0628\u0634\u0631<\/li>\n<\/ul>\n<\/li>\n<li>\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u062f\u0648\u0645 \u0628\u0631\u0627\u06cc \u0627\u0648\u0644\u06cc\u0647 \u0633\u0627\u0632\u06cc \u0627\u0633\u062a <code>padding<\/code>(\u067e\u06cc\u0634 \u0641\u0631\u0636 \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc:<code>None<\/code>\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>\u0627\u06cc\u0646 \u0627\u0633\u062a <code>[left, top, right, bottom]<\/code> \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0627\u0632 <code>[left-right, top-bottom]<\/code> \u06cc\u0627 <code>[left-top-right-bottom]<\/code>\u0628\u0634\u0631<\/li>\n<li>\u06cc\u06a9 \u0644\u06cc\u0633\u062a\/\u0644\u06cc\u0633\u062a \u0628\u0627\u06cc\u062f 1D \u0628\u0627 1 \u060c 2 \u06cc\u0627 4 \u0639\u0646\u0635\u0631 \u0628\u0627\u0634\u062f.<\/li>\n<li>\u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0648\u0627\u062d\u062f (<code>int<\/code> \u06cc\u0627 <code>tuple\/list<\/code>(<code>int<\/code>)) \u06cc\u0639\u0646\u06cc <code>\n\t\t<div class=\"tie-padding \" style=\"padding-left:0; padding-right:0; padding-top:0; padding-bottom:0;\">\n\n\t\t\t<p><\/p>\n\n\t\t<\/div>\n\t<\/code>\u0628\u0634\u0631<\/li>\n<li>\u0645\u0642\u0627\u062f\u06cc\u0631 \u062f\u0648\u062a\u0627\u06cc\u06cc (<code>tuple\/list<\/code>(<code>int<\/code>)) \u06cc\u0639\u0646\u06cc <code>\n\t\t<div class=\"tie-padding \" style=\"padding-left:0; padding-right:0; padding-top:0; padding-bottom:0;\">\n\n\t\t\t<p><\/p>\n\n\t\t<\/div>\n\t, padding[1], padding[0], padding[1]]<\/code>\u0628\u0634\u0631<\/li>\n<\/ul>\n<\/li>\n<li>\u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0633\u0648\u0645 \u0628\u0631\u0627\u06cc \u0627\u0648\u0644\u06cc\u0647 \u0633\u0627\u0632\u06cc \u0627\u0633\u062a <code>pad_if_needed<\/code>(\u067e\u06cc\u0634 \u0641\u0631\u0636 \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc:<code>False<\/code>\u0646\u0648\u0639:<code>bool<\/code>):\n<ul>\n<li>\u0627\u06af\u0631 \u0628\u0627\u0634\u062f <code>False<\/code> \u0648\u062a <code>size<\/code> \u06a9\u0648\u0686\u06a9\u062a\u0631 \u0627\u0632 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0627\u0635\u0644\u06cc \u06cc\u0627 \u062a\u0635\u0648\u06cc\u0631 \u062e\u0627\u0644\u06cc \u062a\u0648\u0633\u0637 <code>padding<\/code>\u060c \u062e\u0637\u0627 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f.<\/li>\n<li>\u0627\u06af\u0631 \u0628\u0627\u0634\u062f <code>True<\/code> \u0648\u062a <code>size<\/code> \u06a9\u0648\u0686\u06a9\u062a\u0631 \u0627\u0632 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0627\u0635\u0644\u06cc \u06cc\u0627 \u062a\u0635\u0648\u06cc\u0631 \u062e\u0627\u0644\u06cc \u062a\u0648\u0633\u0637 <code>padding<\/code>\u060c \u0647\u06cc\u0686 \u062e\u0637\u0627\u06cc\u06cc \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0631\u062f \u060c \u067e\u0633 \u0627\u0632 \u0622\u0646 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0647 \u0637\u0648\u0631 \u062a\u0635\u0627\u062f\u0641\u06cc \u062e\u0627\u0644\u06cc \u0645\u06cc \u0634\u0648\u062f \u062a\u0627 \u062a\u0628\u062f\u06cc\u0644 \u0634\u0648\u062f <code>size<\/code>\u0628\u0634\u0631 <\/li>\n<\/ul>\n<\/li>\n<li>\u0686\u0647\u0627\u0631\u0645\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>fill<\/code>(\u067e\u06cc\u0634 \u0641\u0631\u0636 \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc:<code>0<\/code>\u0646\u0648\u0639:<code>int<\/code>\u0628\u0627 <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>\u0627\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0632\u0645\u06cc\u0646\u0647 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u062f. *\u067e\u0633 \u0632\u0645\u06cc\u0646\u0647 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0631\u062f \u06a9\u0647 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0647 \u0637\u0648\u0631 \u0645\u062b\u0628\u062a \u062e\u0627\u0644\u06cc \u0645\u06cc \u0634\u0648\u062f.<\/li>\n<li>\u06cc\u06a9 \u0644\u06cc\u0633\u062a\/\u0644\u06cc\u0633\u062a \u0628\u0627\u06cc\u062f 1D \u0628\u0627 1 \u06cc\u0627 3 \u0639\u0646\u0635\u0631 \u0628\u0627\u0634\u062f.<\/li>\n<\/ul>\n<\/li>\n<li>\u0627\u0633\u062a\u062f\u0644\u0627\u0644 5 \u0628\u0631\u0627\u06cc \u0627\u0648\u0644\u06cc\u0647 \u0633\u0627\u0632\u06cc \u0627\u0633\u062a <code>padding_mode<\/code>(\u067e\u06cc\u0634 \u0641\u0631\u0636 \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc:<code>'constant'<\/code>\u0646\u0648\u0639:<code>str<\/code>). *<code>'constant'<\/code>\u0628\u0627 <code>'edge'<\/code>\u0628\u0627 <code>'reflect'<\/code> \u06cc\u0627 <code>'symmetric'<\/code> \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\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\">RandomCrop<\/span>\n\n<span class=\"n\">randomcrop<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">RandomCrop<\/span><span class=\"p\">(<\/span><span class=\"n\">size<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">randomcrop<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">RandomCrop<\/span><span class=\"p\">(<\/span><span class=\"n\">size<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/span><span class=\"p\">,<\/span>\n                        <span class=\"n\">padding<\/span><span class=\"o\">=<\/span><span class=\"bp\">None<\/span><span class=\"p\">,<\/span>\n                        <span class=\"n\">pad_if_needed<\/span><span class=\"o\">=<\/span><span class=\"bp\">False<\/span><span class=\"p\">,<\/span> \n                        <span class=\"n\">fill<\/span><span class=\"o\">=<\/span><span class=\"mi\">0<\/span><span class=\"p\">,<\/span>\n                        <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<span class=\"n\">randomcrop<\/span>\n<span class=\"c1\"># RandomCrop(size=(100, 100),\n#            pad_if_needed=False,\n#            fill=0,\n#            padding_mode=constant)\n<\/span>\n<span class=\"n\">randomcrop<\/span><span class=\"p\">.<\/span><span class=\"n\">size<\/span>\n<span class=\"c1\"># (100, 100)\n<\/span>\n<span class=\"nf\">print<\/span><span class=\"p\">(<\/span><span class=\"n\">randomcrop<\/span><span class=\"p\">.<\/span><span class=\"n\">padding<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># None\n<\/span>\n<span class=\"n\">randomcrop<\/span><span class=\"p\">.<\/span><span class=\"n\">pad_if_needed<\/span>\n<span class=\"c1\"># False\n<\/span>\n<span class=\"n\">randomcrop<\/span><span class=\"p\">.<\/span><span class=\"n\">fill<\/span>\n<span class=\"c1\"># 0\n<\/span>\n<span class=\"n\">randomcrop<\/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=\"p\">)<\/span>\n\n<span class=\"n\">s300_data<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">OxfordIIITPet<\/span><span class=\"p\">(<\/span> <span class=\"c1\"># `s` is size.\n<\/span>    <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\">RandomCrop<\/span><span class=\"p\">(<\/span><span class=\"n\">size<\/span><span class=\"o\">=<\/span><span class=\"mi\">300<\/span><span class=\"p\">)<\/span>\n    <span class=\"c1\"># transform=RandomCrop(size=[300, 300])\n<\/span><span class=\"p\">)<\/span>\n\n<span class=\"n\">s200_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\">RandomCrop<\/span><span class=\"p\">(<\/span><span class=\"n\">size<\/span><span class=\"o\">=<\/span><span class=\"mi\">200<\/span><span class=\"p\">)<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">s100_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\">RandomCrop<\/span><span class=\"p\">(<\/span><span class=\"n\">size<\/span><span class=\"o\">=<\/span><span class=\"mi\">100<\/span><span class=\"p\">)<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">s50_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\">RandomCrop<\/span><span class=\"p\">(<\/span><span class=\"n\">size<\/span><span class=\"o\">=<\/span><span class=\"mi\">50<\/span><span class=\"p\">)<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">s10_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\">RandomCrop<\/span><span class=\"p\">(<\/span><span class=\"n\">size<\/span><span class=\"o\">=<\/span><span class=\"mi\">10<\/span><span class=\"p\">)<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">s1_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\">RandomCrop<\/span><span class=\"p\">(<\/span><span class=\"n\">size<\/span><span class=\"o\">=<\/span><span class=\"mi\">1<\/span><span class=\"p\">)<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">s200_300_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\">RandomCrop<\/span><span class=\"p\">(<\/span><span class=\"n\">size<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"mi\">200<\/span><span class=\"p\">,<\/span> <span class=\"mi\">300<\/span><span class=\"p\">])<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">s300_200_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\">RandomCrop<\/span><span class=\"p\">(<\/span><span class=\"n\">size<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"mi\">300<\/span><span class=\"p\">,<\/span> <span class=\"mi\">200<\/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=\"ow\">in<\/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>\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\">data<\/span><span class=\"p\">[<\/span><span class=\"mi\">0<\/span><span class=\"p\">][<\/span><span class=\"mi\">0<\/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=\"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\">7<\/span><span class=\"p\">,<\/span> <span class=\"mi\">9<\/span><span class=\"p\">])<\/span>\n<span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">title<\/span><span class=\"p\">(<\/span><span class=\"n\">label<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">s500_394origin_data<\/span><span class=\"sh\">\"<\/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=\"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\">origin_data<\/span><span class=\"p\">[<\/span><span class=\"mi\">0<\/span><span class=\"p\">][<\/span><span class=\"mi\">0<\/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\">s500_394origin_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\">s300_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">s300_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\">s200_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">s200_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\">s100_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">s100_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\">s50_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">s50_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\">s10_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">s10_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\">s1_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">s1_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\">s200_300_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">s200_300_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\">s300_200_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">s300_200_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\">s<\/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=\"bp\">None<\/span><span class=\"p\">,<\/span>\n                 <span class=\"n\">pin<\/span><span class=\"o\">=<\/span><span class=\"bp\">False<\/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=\"n\">temp_s<\/span> <span class=\"o\">=<\/span> <span class=\"n\">s<\/span>\n    <span class=\"n\">im<\/span> <span class=\"o\">=<\/span> <span class=\"n\">data<\/span><span class=\"p\">[<\/span><span class=\"mi\">0<\/span><span class=\"p\">][<\/span><span class=\"mi\">0<\/span><span class=\"p\">]<\/span>\n    <span class=\"k\">for<\/span> <span class=\"n\">i<\/span> <span class=\"ow\">in<\/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>\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=\"k\">if<\/span> <span class=\"ow\">not<\/span> <span class=\"n\">temp_s<\/span><span class=\"p\">:<\/span>\n            <span class=\"n\">s<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span><span class=\"n\">im<\/span><span class=\"p\">.<\/span><span class=\"n\">size<\/span><span class=\"p\">[<\/span><span class=\"mi\">1<\/span><span class=\"p\">],<\/span> <span class=\"n\">im<\/span><span class=\"p\">.<\/span><span class=\"n\">size<\/span><span class=\"p\">[<\/span><span class=\"mi\">0<\/span><span class=\"p\">]]<\/span>\n        <span class=\"n\">rc<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">RandomCrop<\/span><span class=\"p\">(<\/span><span class=\"n\">size<\/span><span class=\"o\">=<\/span><span class=\"n\">s<\/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=\"c1\"># Here\n<\/span>                        <span class=\"n\">pad_if_needed<\/span><span class=\"o\">=<\/span><span class=\"n\">pin<\/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>\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\">rc<\/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\">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=\"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\">7<\/span><span class=\"p\">,<\/span> <span class=\"mi\">9<\/span><span class=\"p\">])<\/span>\n<span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">title<\/span><span class=\"p\">(<\/span><span class=\"n\">label<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">s500_394origin_data<\/span><span class=\"sh\">\"<\/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=\"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\">origin_data<\/span><span class=\"p\">[<\/span><span class=\"mi\">0<\/span><span class=\"p\">][<\/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\">s500_394origin_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\">s300_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">s<\/span><span class=\"o\">=<\/span><span class=\"mi\">300<\/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\">s200_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">s<\/span><span class=\"o\">=<\/span><span class=\"mi\">200<\/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\">s100_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">s<\/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\">s50_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">s<\/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\">s10_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">s<\/span><span class=\"o\">=<\/span><span class=\"mi\">10<\/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\">s1_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">s<\/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\">s200_300_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">s<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"mi\">200<\/span><span class=\"p\">,<\/span> <span class=\"mi\">300<\/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\">s300_200_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">s<\/span><span class=\"o\">=<\/span><span class=\"p\">[<\/span><span class=\"mi\">300<\/span><span class=\"p\">,<\/span> <span class=\"mi\">200<\/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%2Fvnjnxp8mgg5fk4hhztlm.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"728\" height=\"917\" 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%2F9a1dv2h1g2d2un2y204z.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"247\" 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%2F4th4jm9ntirk1yx9s8d4.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"230\" 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%2F1pb2eh09ap3k5s62xl2s.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"231\" 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%2Fkevdieur7dj4q7k7icz3.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"234\" 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%2Fs73dor2bgshj8tu2sq3x.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"234\" 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%2F5a09sjaf1pr8v3nd05ee.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"236\" 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%2F3n1slrm1z5vzxp039nil.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"220\" 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%2F76rf1ileiwzh86pil6l5.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"212\" 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%2F6hou4x1oa6hx3bip5knp.png\" alt=\"\u0634\u0631\u062d \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"260\" 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: RandomCrop () \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u0628\u0647 \u0637\u0648\u0631 \u062a\u0635\u0627\u062f\u0641\u06cc \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a \u060c \u062e\u0631\u062f \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 size(\u0646\u0648\u0639 \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632:int \u06cc\u0627 tuple\/list(int) \u06cc\u0627 \u0627\u0646\u062f\u0627\u0632\u0647 ()): *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627: \u0627\u06cc\u0646 \u0627\u0633\u062a [height, width]\u0628\u0634\u0631 \u0628\u0627\u06cc\u062f \u0628\u0627\u0634\u062f 1 &lt;= &hellip;<\/p>\n","protected":false},"author":2,"featured_media":96653,"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%2Fsfps01yonr8gjq5p8pug.png","fifu_image_alt":"","footnotes":""},"categories":[339],"tags":[],"class_list":["post-96652","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\/96652","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=96652"}],"version-history":[{"count":0,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/96652\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media\/96653"}],"wp:attachment":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media?parent=96652"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/categories?post=96652"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/tags?post=96652"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}