{"id":90021,"date":"2024-12-27T03:17:40","date_gmt":"2024-12-26T23:47:40","guid":{"rendered":"https:\/\/nabfollower.com\/blog\/colorjitter-%d8%af%d8%b1-pytorch-%d8%a7%d9%86%d8%ac%d9%85%d9%86-dev\/"},"modified":"2024-12-27T03:17:40","modified_gmt":"2024-12-26T23:47:40","slug":"colorjitter-%d8%af%d8%b1-pytorch-%d8%a7%d9%86%d8%ac%d9%85%d9%86-dev","status":"publish","type":"post","link":"https:\/\/nabfollower.com\/blog\/colorjitter-%d8%af%d8%b1-pytorch-%d8%a7%d9%86%d8%ac%d9%85%d9%86-dev\/","title":{"rendered":"ColorJitter \u062f\u0631 PyTorch &#8211; \u0627\u0646\u062c\u0645\u0646 DEV"},"content":{"rendered":"<div data-article-id=\"2174716\" id=\"article-body\">\n<p>\u0628\u0631\u0627\u06cc \u0645\u0646 \u06cc\u06a9 \u0642\u0647\u0648\u0647 \u0628\u062e\u0631\u2615<\/p>\n<p>ColorJitter() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0631\u0648\u0634\u0646\u0627\u06cc\u06cc\u060c \u06a9\u0646\u062a\u0631\u0627\u0633\u062a\u060c \u0627\u0634\u0628\u0627\u0639 \u0648 \u0631\u0646\u06af \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0631\u0627 \u0645\u0637\u0627\u0628\u0642 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\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>brightness<\/code>(\u0627\u062e\u062a\u06cc\u0627\u0631\u06cc-\u067e\u06cc\u0634 \u0641\u0631\u0636:<code>0<\/code>-\u0646\u0648\u0639:<code>float<\/code> \u06cc\u0627 <code>tuple<\/code>\/<code>list<\/code>(<code>float<\/code>)): *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:\n<ul>\n<li>\u0627\u06cc\u0646 \u0645\u062d\u062f\u0648\u062f\u0647 \u0631\u0648\u0634\u0646\u0627\u06cc\u06cc \u0627\u0633\u062a <code>[min, max]<\/code>.<\/li>\n<li>\u0628\u0627\u06cc\u062f \u0628\u0627\u0634\u062f <code>0 &lt;= x<\/code>.<\/li>\n<li>\u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0648\u0627\u062d\u062f \u0628\u0647 <code>[max(0, 1-brightness), 1+brightness]<\/code>.<\/li>\n<li>\u06cc\u06a9 \u062a\u0627\u067e\u0644 \u06cc\u0627 \u0644\u06cc\u0633\u062a \u0628\u0627\u06cc\u062f 1 \u0628\u0639\u062f\u06cc \u0628\u0627 2 \u0639\u0646\u0635\u0631 \u0628\u0627\u0634\u062f. * \u0639\u0646\u0635\u0631 \u0627\u0648\u0644 \u0628\u0627\u06cc\u062f \u06a9\u0645\u062a\u0631 \u06cc\u0627 \u0645\u0633\u0627\u0648\u06cc \u0628\u0627 \u0639\u0646\u0635\u0631 \u062f\u0648\u0645 \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>contrast<\/code>(\u0627\u062e\u062a\u06cc\u0627\u0631\u06cc-\u067e\u06cc\u0634 \u0641\u0631\u0636:<code>0<\/code>-\u0646\u0648\u0639:<code>float<\/code> \u06cc\u0627 <code>tuple<\/code>\/<code>list<\/code>(<code>float<\/code>)): *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:\n<ul>\n<li>\u0627\u06cc\u0646 \u0645\u062d\u062f\u0648\u062f\u0647 \u06a9\u0646\u062a\u0631\u0627\u0633\u062a \u0627\u0633\u062a <code>[min, max]<\/code>.<\/li>\n<li>\u0628\u0627\u06cc\u062f \u0628\u0627\u0634\u062f <code>0 &lt;= x<\/code>.<\/li>\n<li>\u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0648\u0627\u062d\u062f \u0628\u0647 <code>[max(0, 1-contrast), 1+contrast]<\/code>.<\/li>\n<li>\u06cc\u06a9 \u062a\u0627\u067e\u0644 \u06cc\u0627 \u0644\u06cc\u0633\u062a \u0628\u0627\u06cc\u062f 1 \u0628\u0639\u062f\u06cc \u0628\u0627 2 \u0639\u0646\u0635\u0631 \u0628\u0627\u0634\u062f. * \u0639\u0646\u0635\u0631 \u0627\u0648\u0644 \u0628\u0627\u06cc\u062f \u06a9\u0645\u062a\u0631 \u06cc\u0627 \u0645\u0633\u0627\u0648\u06cc \u0628\u0627 \u0639\u0646\u0635\u0631 \u062f\u0648\u0645 \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>saturation<\/code>(\u0627\u062e\u062a\u06cc\u0627\u0631\u06cc-\u067e\u06cc\u0634 \u0641\u0631\u0636:<code>0<\/code>-\u0646\u0648\u0639:<code>float<\/code> \u06cc\u0627 <code>tuple<\/code>\/<code>list<\/code>(<code>float<\/code>)): *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:\n<ul>\n<li>\u0627\u06cc\u0646 \u0645\u062d\u062f\u0648\u062f\u0647 \u0627\u0634\u0628\u0627\u0639 \u0627\u0633\u062a <code>[min, max]<\/code>.<\/li>\n<li>\u0628\u0627\u06cc\u062f \u0628\u0627\u0634\u062f <code>0 &lt;= x<\/code>.<\/li>\n<li>\u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0648\u0627\u062d\u062f \u0628\u0647 <code>[max(0, 1-saturation), 1+saturation]<\/code>.<\/li>\n<li>\u06cc\u06a9 \u062a\u0627\u067e\u0644 \u06cc\u0627 \u0644\u06cc\u0633\u062a \u0628\u0627\u06cc\u062f 1 \u0628\u0639\u062f\u06cc \u0628\u0627 2 \u0639\u0646\u0635\u0631 \u0628\u0627\u0634\u062f. * \u0639\u0646\u0635\u0631 \u0627\u0648\u0644 \u0628\u0627\u06cc\u062f \u06a9\u0645\u062a\u0631 \u06cc\u0627 \u0645\u0633\u0627\u0648\u06cc \u0628\u0627 \u0639\u0646\u0635\u0631 \u062f\u0648\u0645 \u0628\u0627\u0634\u062f.<\/li>\n<\/ul>\n<\/li>\n<li>\u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0686\u0647\u0627\u0631\u0645 \u0628\u0631\u0627\u06cc \u0645\u0642\u062f\u0627\u0631\u062f\u0647\u06cc \u0627\u0648\u0644\u06cc\u0647 \u0627\u0633\u062a <code>hue<\/code>(\u0627\u062e\u062a\u06cc\u0627\u0631\u06cc-\u067e\u06cc\u0634 \u0641\u0631\u0636:<code>0<\/code>-\u0646\u0648\u0639:<code>float<\/code> \u06cc\u0627 <code>tuple<\/code>\/<code>list<\/code>(<code>float<\/code>)): *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627:\n<ul>\n<li>\u0627\u06cc\u0646 \u0645\u062d\u062f\u0648\u062f\u0647 \u0631\u0646\u06af \u0627\u0633\u062a <code>[min, max]<\/code>.<\/li>\n<li>\u0628\u0627\u06cc\u062f \u0628\u0627\u0634\u062f <code>-0.5 &lt;= x &lt;= 0.5<\/code>.<\/li>\n<li>\u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0648\u0627\u062d\u062f \u0628\u0647 <code>[-hue, +hue]<\/code>.<\/li>\n<li>\u06cc\u06a9 \u062a\u0627\u067e\u0644 \u06cc\u0627 \u0644\u06cc\u0633\u062a \u0628\u0627\u06cc\u062f 1 \u0628\u0639\u062f\u06cc \u0628\u0627 2 \u0639\u0646\u0635\u0631 \u0628\u0627\u0634\u062f. * \u0639\u0646\u0635\u0631 \u0627\u0648\u0644 \u0628\u0627\u06cc\u062f \u06a9\u0645\u062a\u0631 \u06cc\u0627 \u0645\u0633\u0627\u0648\u06cc \u0628\u0627 \u0639\u0646\u0635\u0631 \u062f\u0648\u0645 \u0628\u0627\u0634\u062f.<\/li>\n<\/ul>\n<\/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>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>\u0628\u0627\u06cc\u062f \u062f\u0648 \u0628\u0639\u062f\u06cc \u06cc\u0627 \u0633\u0647 \u0628\u0639\u062f\u06cc \u0628\u0627\u0634\u062f. \u0628\u0631\u0627\u06cc \u0633\u0647 \u0628\u0639\u062f\u06cc\u060c \u0639\u0645\u06cc\u0642 \u062a\u0631\u06cc\u0646 D \u0628\u0627\u06cc\u062f \u06cc\u06a9 \u0639\u0646\u0635\u0631 \u062f\u0627\u0634\u062a\u0647 \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\">ColorJitter<\/span>\n\n<span class=\"n\">colorjitter<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">ColorJitter<\/span><span class=\"p\">()<\/span>\n<span class=\"n\">colorjitter<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">ColorJitter<\/span><span class=\"p\">(<\/span><span class=\"n\">brightness<\/span><span class=\"o\">=<\/span><span class=\"mi\">0<\/span><span class=\"p\">,<\/span>\n                          <span class=\"n\">contrast<\/span><span class=\"o\">=<\/span><span class=\"mi\">0<\/span><span class=\"p\">,<\/span>\n                          <span class=\"n\">saturation<\/span><span class=\"o\">=<\/span><span class=\"mi\">0<\/span><span class=\"p\">,<\/span>\n                          <span class=\"n\">hue<\/span><span class=\"o\">=<\/span><span class=\"mi\">0<\/span><span class=\"p\">)<\/span>\n<span class=\"n\">colorjitter<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">ColorJitter<\/span><span class=\"p\">(<\/span><span class=\"n\">brightness<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mf\">1.0<\/span><span class=\"p\">,<\/span> <span class=\"mf\">2.0<\/span><span class=\"p\">),<\/span>\n                          <span class=\"n\">contrast<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mf\">1.0<\/span><span class=\"p\">,<\/span> <span class=\"mf\">1.0<\/span><span class=\"p\">),<\/span>\n                          <span class=\"n\">saturation<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mf\">1.0<\/span><span class=\"p\">,<\/span> <span class=\"mf\">1.0<\/span><span class=\"p\">),<\/span>\n                          <span class=\"n\">hue<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mf\">0.0<\/span><span class=\"p\">,<\/span> <span class=\"mf\">0.0<\/span><span class=\"p\">))<\/span>\n<span class=\"n\">colorjitter<\/span>\n<span class=\"c1\"># ColorJitter()\n<\/span>\n<span class=\"nf\">print<\/span><span class=\"p\">(<\/span><span class=\"n\">colorjitter<\/span><span class=\"p\">.<\/span><span class=\"n\">brightness<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># None\n<\/span>\n<span class=\"nf\">print<\/span><span class=\"p\">(<\/span><span class=\"n\">colorjitter<\/span><span class=\"p\">.<\/span><span class=\"n\">contrast<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># None\n<\/span>\n<span class=\"nf\">print<\/span><span class=\"p\">(<\/span><span class=\"n\">colorjitter<\/span><span class=\"p\">.<\/span><span class=\"n\">saturation<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># None\n<\/span>\n<span class=\"nf\">print<\/span><span class=\"p\">(<\/span><span class=\"n\">colorjitter<\/span><span class=\"p\">.<\/span><span class=\"n\">hue<\/span><span class=\"p\">)<\/span>\n<span class=\"c1\"># None\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=ColorJitter()\n<\/span>    <span class=\"c1\"># colorjitter = ColorJitter(brightness=0,\n<\/span>    <span class=\"c1\">#                           contrast=0,\n<\/span>    <span class=\"c1\">#                           saturation=0,\n<\/span>    <span class=\"c1\">#                           hue=0)\n<\/span>    <span class=\"c1\"># transform=ColorJitter(brightness=(1.0, 1.0),\n<\/span>    <span class=\"c1\">#                       contrast=(1.0, 1.0),\n<\/span>    <span class=\"c1\">#                       saturation=(1.0, 1.0),\n<\/span>    <span class=\"c1\">#                       hue=(0.0, 0.0))\n<\/span><span class=\"p\">)<\/span>\n\n<span class=\"n\">p2bright_data<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">OxfordIIITPet<\/span><span class=\"p\">(<\/span> <span class=\"c1\"># `p` is plus.\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\">ColorJitter<\/span><span class=\"p\">(<\/span><span class=\"n\">brightness<\/span><span class=\"o\">=<\/span><span class=\"mf\">2.0<\/span><span class=\"p\">)<\/span>\n    <span class=\"c1\"># transform=ColorJitter(brightness=(0.0, 3.0))\n<\/span><span class=\"p\">)<\/span>\n\n<span class=\"n\">p2p2bright_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\">ColorJitter<\/span><span class=\"p\">(<\/span><span class=\"n\">brightness<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mf\">2.0<\/span><span class=\"p\">,<\/span> <span class=\"mf\">2.0<\/span><span class=\"p\">))<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p05p05bright_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\">ColorJitter<\/span><span class=\"p\">(<\/span><span class=\"n\">brightness<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mf\">0.5<\/span><span class=\"p\">,<\/span> <span class=\"mf\">0.5<\/span><span class=\"p\">))<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p2contra_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\">ColorJitter<\/span><span class=\"p\">(<\/span><span class=\"n\">contrast<\/span><span class=\"o\">=<\/span><span class=\"mf\">2.0<\/span><span class=\"p\">)<\/span>\n    <span class=\"c1\"># transform=ColorJitter(contrast=(0.0, 3.0))\n<\/span><span class=\"p\">)<\/span>\n\n<span class=\"n\">p2p2contra_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\">ColorJitter<\/span><span class=\"p\">(<\/span><span class=\"n\">contrast<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mf\">2.0<\/span><span class=\"p\">,<\/span> <span class=\"mf\">2.0<\/span><span class=\"p\">))<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p05p05contra_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\">ColorJitter<\/span><span class=\"p\">(<\/span><span class=\"n\">contrast<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mf\">0.5<\/span><span class=\"p\">,<\/span> <span class=\"mf\">0.5<\/span><span class=\"p\">))<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p2satura_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\">ColorJitter<\/span><span class=\"p\">(<\/span><span class=\"n\">saturation<\/span><span class=\"o\">=<\/span><span class=\"mf\">2.0<\/span><span class=\"p\">)<\/span>\n    <span class=\"c1\"># transform=ColorJitter(saturation=(0.0, 3.0))\n<\/span><span class=\"p\">)<\/span>\n\n<span class=\"n\">p2p2satura_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\">ColorJitter<\/span><span class=\"p\">(<\/span><span class=\"n\">saturation<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mf\">2.0<\/span><span class=\"p\">,<\/span> <span class=\"mf\">2.0<\/span><span class=\"p\">))<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p05p05satura_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\">ColorJitter<\/span><span class=\"p\">(<\/span><span class=\"n\">saturation<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mf\">0.5<\/span><span class=\"p\">,<\/span> <span class=\"mf\">0.5<\/span><span class=\"p\">))<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">p05hue_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\">ColorJitter<\/span><span class=\"p\">(<\/span><span class=\"n\">hue<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.5<\/span><span class=\"p\">)<\/span>\n    <span class=\"c1\"># transform=ColorJitter(hue=(-0.5, 0.5))\n<\/span><span class=\"p\">)<\/span>\n\n<span class=\"n\">p025p025hue_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\">ColorJitter<\/span><span class=\"p\">(<\/span><span class=\"n\">hue<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mf\">0.25<\/span><span class=\"p\">,<\/span> <span class=\"mf\">0.25<\/span><span class=\"p\">))<\/span>\n<span class=\"p\">)<\/span>\n\n<span class=\"n\">m025m025hue_data<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">OxfordIIITPet<\/span><span class=\"p\">(<\/span> <span class=\"c1\"># `m` is minus.\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\">ColorJitter<\/span><span class=\"p\">(<\/span><span class=\"n\">hue<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"o\">-<\/span><span class=\"mf\">0.25<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mf\">0.25<\/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_images<\/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_images<\/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_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p2bright_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p2bright_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p2p2bright_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p2p2bright_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p05p05bright_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p05p05bright_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n\n<span class=\"nf\">show_images<\/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_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p2contra_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p2contra_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p2p2contra_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p2p2contra_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p05p05contra_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p05p05contra_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n\n<span class=\"nf\">show_images<\/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_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p2satura_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p2satura_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p2p2satura_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p2p2satura_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p05p05satura_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p05p05satura_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n\n<span class=\"nf\">show_images<\/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_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p05hue_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p05hue_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">p025p025hue_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p025p025hue_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">m025m025hue_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">m025m025hue_data<\/span><span class=\"sh\">\"<\/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>\u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><img decoding=\"async\" src=\"https:\/\/media2.dev.to\/dynamic\/image\/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto\/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fcf7nhodawaohnpx9eenx.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \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%2Fuh527pnvsr7dtahuh7xh.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" 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%2Fmhhzisabdas9idfzhdju.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" 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%2Fpr1lajxghecpoa9sosdi.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" 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%2Fcf7nhodawaohnpx9eenx.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \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%2Fvlevcajmwetky0ssds9u.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" 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%2Fraz9b0g9dwmhdt9nlkq9.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \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%2Fm73u2xmyqixweb05hry1.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"248\" 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%2Fcf7nhodawaohnpx9eenx.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \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%2Ffa2mch76tzqihm9loiry.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" 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%2Fod9v2stlv89co7rinmgu.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" 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%2Fvknksys38e84s32ya6dm.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" 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%2Fcf7nhodawaohnpx9eenx.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \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%2Fpo55mgtntjy6qluer2pu.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" 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%2Facawndbzkafdc6su19xr.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" 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%2Fgj4rqhk162vpuadae2ao.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" title=\"\"><\/p>\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\">RandomRotation<\/span>\n\n<span class=\"n\">my_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=\"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_images<\/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\">b<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.0<\/span><span class=\"p\">,<\/span> <span class=\"n\">c<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.0<\/span><span class=\"p\">,<\/span> <span class=\"n\">s<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.0<\/span><span class=\"p\">,<\/span> <span class=\"n\">h<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.0<\/span><span class=\"p\">):<\/span>\n    <span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">figure<\/span><span class=\"p\">(<\/span><span class=\"n\">figsize<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mi\">10<\/span><span class=\"p\">,<\/span> <span class=\"mi\">5<\/span><span class=\"p\">))<\/span>\n    <span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">suptitle<\/span><span class=\"p\">(<\/span><span class=\"n\">t<\/span><span class=\"o\">=<\/span><span class=\"n\">main_title<\/span><span class=\"p\">,<\/span> <span class=\"n\">y<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.8<\/span><span class=\"p\">,<\/span> <span class=\"n\">fontsize<\/span><span class=\"o\">=<\/span><span class=\"mi\">14<\/span><span class=\"p\">)<\/span>\n    <span class=\"k\">for<\/span> <span class=\"n\">i<\/span><span class=\"p\">,<\/span> <span class=\"p\">(<\/span><span class=\"n\">im<\/span><span class=\"p\">,<\/span> <span class=\"n\">_<\/span><span class=\"p\">)<\/span> <span class=\"ow\">in<\/span> <span class=\"nf\">zip<\/span><span class=\"p\">(<\/span><span class=\"nf\">range<\/span><span class=\"p\">(<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"mi\">6<\/span><span class=\"p\">),<\/span> <span class=\"n\">data<\/span><span class=\"p\">):<\/span>\n        <span class=\"n\">plt<\/span><span class=\"p\">.<\/span><span class=\"nf\">subplot<\/span><span class=\"p\">(<\/span><span class=\"mi\">1<\/span><span class=\"p\">,<\/span> <span class=\"mi\">5<\/span><span class=\"p\">,<\/span> <span class=\"n\">i<\/span><span class=\"p\">)<\/span>\n        <span class=\"n\">cj<\/span> <span class=\"o\">=<\/span> <span class=\"nc\">ColorJitter<\/span><span class=\"p\">(<\/span><span class=\"n\">brightness<\/span><span class=\"o\">=<\/span><span class=\"n\">b<\/span><span class=\"p\">,<\/span> <span class=\"n\">contrast<\/span><span class=\"o\">=<\/span><span class=\"n\">c<\/span><span class=\"p\">,<\/span> <span class=\"n\">saturation<\/span><span class=\"o\">=<\/span><span class=\"n\">s<\/span><span class=\"p\">,<\/span> <span class=\"n\">hue<\/span><span class=\"o\">=<\/span><span class=\"n\">h<\/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\">cj<\/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_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">my_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_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">my_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p2bright_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">b<\/span><span class=\"o\">=<\/span><span class=\"mf\">2.0<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">my_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p2p2bright_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">b<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mf\">2.0<\/span><span class=\"p\">,<\/span> <span class=\"mf\">2.0<\/span><span class=\"p\">))<\/span>\n<span class=\"nf\">show_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">my_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p05p05bright_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">b<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mf\">0.5<\/span><span class=\"p\">,<\/span> <span class=\"mf\">0.5<\/span><span class=\"p\">))<\/span>\n\n<span class=\"nf\">show_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">my_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_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">my_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p2contra_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">c<\/span><span class=\"o\">=<\/span><span class=\"mf\">2.0<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">my_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p2p2contra_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">c<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mf\">2.0<\/span><span class=\"p\">,<\/span> <span class=\"mf\">2.0<\/span><span class=\"p\">))<\/span>\n<span class=\"nf\">show_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">my_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p05p05contra_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">c<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mf\">0.5<\/span><span class=\"p\">,<\/span> <span class=\"mf\">0.5<\/span><span class=\"p\">))<\/span>\n\n<span class=\"nf\">show_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">my_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_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">my_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p2satura_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">s<\/span><span class=\"o\">=<\/span><span class=\"mf\">2.0<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">my_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p2p2satura_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=\"mf\">2.0<\/span><span class=\"p\">,<\/span> <span class=\"mf\">2.0<\/span><span class=\"p\">))<\/span>\n<span class=\"nf\">show_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">my_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p05p05satura_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=\"mf\">0.5<\/span><span class=\"p\">,<\/span> <span class=\"mf\">0.5<\/span><span class=\"p\">))<\/span>\n\n<span class=\"nf\">show_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">my_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_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">my_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p05hue_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">h<\/span><span class=\"o\">=<\/span><span class=\"mf\">0.5<\/span><span class=\"p\">)<\/span>\n<span class=\"nf\">show_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">my_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">p025p025hue_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">h<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"mf\">0.25<\/span><span class=\"p\">,<\/span> <span class=\"mf\">0.25<\/span><span class=\"p\">))<\/span>\n<span class=\"nf\">show_images<\/span><span class=\"p\">(<\/span><span class=\"n\">data<\/span><span class=\"o\">=<\/span><span class=\"n\">my_data<\/span><span class=\"p\">,<\/span> <span class=\"n\">main_title<\/span><span class=\"o\">=<\/span><span class=\"sh\">\"<\/span><span class=\"s\">m025m025hue_data<\/span><span class=\"sh\">\"<\/span><span class=\"p\">,<\/span> <span class=\"n\">h<\/span><span class=\"o\">=<\/span><span class=\"p\">(<\/span><span class=\"o\">-<\/span><span class=\"mf\">0.25<\/span><span class=\"p\">,<\/span> <span class=\"o\">-<\/span><span class=\"mf\">0.25<\/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>\u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><img decoding=\"async\" src=\"https:\/\/media2.dev.to\/dynamic\/image\/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto\/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fcf7nhodawaohnpx9eenx.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \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%2F9nywii2ghg4xsml2f40y.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" 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%2Fmhhzisabdas9idfzhdju.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" 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%2Fpr1lajxghecpoa9sosdi.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" 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%2Fcf7nhodawaohnpx9eenx.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \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%2Fej00vza8neogtue1jgzv.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" 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%2Fraz9b0g9dwmhdt9nlkq9.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \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%2Fm73u2xmyqixweb05hry1.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"248\" 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%2Fcf7nhodawaohnpx9eenx.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \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%2Fww3bq75jfsd490qpjr29.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" 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%2Fod9v2stlv89co7rinmgu.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" 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%2Fvknksys38e84s32ya6dm.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" 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%2Fcf7nhodawaohnpx9eenx.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \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%2F723qf01529bii2dketo5.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" 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%2Facawndbzkafdc6su19xr.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" 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%2Fgj4rqhk162vpuadae2ao.png\" alt=\"\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062a\u0635\u0648\u06cc\u0631\" loading=\"lazy\" width=\"800\" height=\"246\" 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\u2615 ColorJitter() \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0631\u0648\u0634\u0646\u0627\u06cc\u06cc\u060c \u06a9\u0646\u062a\u0631\u0627\u0633\u062a\u060c \u0627\u0634\u0628\u0627\u0639 \u0648 \u0631\u0646\u06af \u0635\u0641\u0631 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0631\u0627 \u0645\u0637\u0627\u0628\u0642 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\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 brightness(\u0627\u062e\u062a\u06cc\u0627\u0631\u06cc-\u067e\u06cc\u0634 \u0641\u0631\u0636:0-\u0646\u0648\u0639:float \u06cc\u0627 tuple\/list(float)): *\u06cc\u0627\u062f\u062f\u0627\u0634\u062a \u0647\u0627: \u0627\u06cc\u0646 \u0645\u062d\u062f\u0648\u062f\u0647 \u0631\u0648\u0634\u0646\u0627\u06cc\u06cc \u0627\u0633\u062a [min, max]. \u0628\u0627\u06cc\u062f \u0628\u0627\u0634\u062f 0 &lt;= x. \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0648\u0627\u062d\u062f \u0628\u0647 [max(0, 1-brightness), 1+brightness]. &hellip;<\/p>\n","protected":false},"author":2,"featured_media":90022,"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%2F2yiv4g5xdcfuaq97hcpx.png","fifu_image_alt":"","footnotes":""},"categories":[339],"tags":[],"class_list":["post-90021","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\/90021","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=90021"}],"version-history":[{"count":0,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/90021\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media\/90022"}],"wp:attachment":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media?parent=90021"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/categories?post=90021"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/tags?post=90021"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}