{"id":18829,"date":"2025-04-21T23:45:14","date_gmt":"2025-04-21T20:45:14","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/pil-goruntulerini-pytorch-tensorlerine-donusturme-ve-olceklendirme\/"},"modified":"2025-04-21T23:45:14","modified_gmt":"2025-04-21T20:45:14","slug":"pil-goruntulerini-pytorch-tensorlerine-donusturme-ve-olceklendirme","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/pil-goruntulerini-pytorch-tensorlerine-donusturme-ve-olceklendirme\/","title":{"rendered":"PIL G\u00f6r\u00fcnt\u00fclerini PyTorch Tens\u00f6rlerine D\u00f6n\u00fc\u015ft\u00fcrme ve \u00d6l\u00e7eklendirme"},"content":{"rendered":"<p>PIL G\u00f6r\u00fcnt\u00fclerini PyTorch Tens\u00f6rlerine D\u00f6n\u00fc\u015ft\u00fcrme ve \u00d6l\u00e7eklendirme<\/p>\n<p>Merhaba, Fatih Soysal burada! Bu makalede, PIL (Pillow) k\u00fct\u00fcphanesi ile olu\u015fturulmu\u015f g\u00f6r\u00fcnt\u00fclerin PyTorch tens\u00f6rlerine nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fclece\u011fini ve \u00f6l\u00e7eklenece\u011fini ad\u0131m ad\u0131m a\u00e7\u0131klayaca\u011f\u0131z.  PyTorch, derin \u00f6\u011frenme modelleri i\u00e7in pop\u00fcler bir k\u00fct\u00fcphane ve  g\u00f6r\u00fcnt\u00fc i\u015flemede s\u0131k\u00e7a kullan\u0131l\u0131r. Bu nedenle, PIL g\u00f6r\u00fcnt\u00fclerini PyTorch ile uyumlu hale getirmek, derin \u00f6\u011frenme projelerinizde olmazsa olmaz bir ad\u0131md\u0131r.  \u00d6ncelikle, gerekli k\u00fct\u00fcphaneleri i\u00e7e aktararak ba\u015flayal\u0131m.  Daha sonra,  PIL g\u00f6r\u00fcnt\u00fclerinin PyTorch tens\u00f6rlerine d\u00f6n\u00fc\u015ft\u00fcr\u00fclmesi ve \u00f6l\u00e7eklendirilmesi i\u00e7in \u00e7e\u015fitli y\u00f6ntemleri inceleyece\u011fiz.  Sonras\u0131nda da birka\u00e7 pratik \u00f6rnek \u00fczerinde bu i\u015flemleri uygulayaca\u011f\u0131z.<\/p>\n<h2>Gerekli K\u00fct\u00fcphanelerin \u0130\u00e7e Aktar\u0131lmas\u0131<\/h2>\n<p>Ba\u015flamadan \u00f6nce,  PyTorch ve Pillow k\u00fct\u00fcphanelerinin kurulu oldu\u011fundan emin olun.  Bunlar\u0131 pip install torch pillow komutu ile kurabilirsiniz.  Ard\u0131ndan,  k\u00fct\u00fcphaneleri kodumuza i\u00e7e aktarmal\u0131y\u0131z:<\/p>\n<pre><code class=\"language-python\">\nimport torch\nfrom PIL import Image\n<\/code><\/pre>\n<h2>PIL G\u00f6r\u00fcnt\u00fcs\u00fcn\u00fc PyTorch Tens\u00f6r\u00fcne D\u00f6n\u00fc\u015ft\u00fcrme<\/h2>\n<p>Bir PIL g\u00f6r\u00fcnt\u00fcs\u00fcn\u00fc PyTorch tens\u00f6r\u00fcne d\u00f6n\u00fc\u015ft\u00fcrmek olduk\u00e7a basittir.  \u00d6ncelikle, PIL ile bir g\u00f6r\u00fcnt\u00fc y\u00fckleyin.  Sonras\u0131nda,  torch.from_numpy() fonksiyonunu kullanarak numpy dizisine, ard\u0131ndan da torch.Tensor() fonksiyonunu kullanarak PyTorch tens\u00f6r\u00fcne d\u00f6n\u00fc\u015ft\u00fcrebiliriz.  Ancak, bu d\u00f6n\u00fc\u015f\u00fcmden \u00f6nce dikkat etmemiz gereken birka\u00e7 nokta var. \u00d6zellikle,  g\u00f6r\u00fcnt\u00fcn\u00fcn renk kanallar\u0131n\u0131n s\u0131ras\u0131n\u0131n PyTorch ile uyumlu olmas\u0131 \u00f6nemlidir.  PyTorch genellikle &#8216;CHW&#8217; (kanal, y\u00fckseklik, geni\u015flik) format\u0131n\u0131 beklerken, PIL &#8216;HWC&#8217; (y\u00fckseklik, geni\u015flik, kanal) format\u0131n\u0131 kullan\u0131r. Bu nedenle,  d\u00f6n\u00fc\u015f\u00fcm \u00f6ncesinde kanallar\u0131n s\u0131ras\u0131n\u0131 de\u011fi\u015ftirmeniz gerekebilir.<\/p>\n<pre><code class=\"language-python\">\npil_image = Image.open(\"image.jpg\")  # G\u00f6r\u00fcnt\u00fcy\u00fc y\u00fckleyin\nnumpy_image = np.array(pil_image)  # Numpy dizisine d\u00f6n\u00fc\u015ft\u00fcr\u00fcn\n\n# Renk kanallar\u0131n\u0131n s\u0131ras\u0131n\u0131 de\u011fi\u015ftirin (HWC -> CHW)\nnumpy_image = np.transpose(numpy_image, (2, 0, 1))\n\n# PyTorch tens\u00f6r\u00fcne d\u00f6n\u00fc\u015ft\u00fcr\u00fcn\npytorch_tensor = torch.from_numpy(numpy_image)\n<\/code><\/pre>\n<h2>G\u00f6r\u00fcnt\u00fc \u00d6l\u00e7eklendirme<\/h2>\n<p>G\u00f6r\u00fcnt\u00fcleri derin \u00f6\u011frenme modelleriyle kullanmadan \u00f6nce genellikle \u00f6l\u00e7eklendirmek gerekir. Bu, modelin performans\u0131n\u0131 art\u0131rmaya yard\u0131mc\u0131 olur.  PyTorch&#8217;te,  tens\u00f6r\u00fcn her bir de\u011ferini 255&#8217;e b\u00f6lerek  g\u00f6r\u00fcnt\u00fcy\u00fc [0, 1] aral\u0131\u011f\u0131na \u00f6l\u00e7eklendirebiliriz.  Bu, g\u00f6r\u00fcnt\u00fcn\u00fcn piksel de\u011ferlerini 0 ile 1 aras\u0131nda normalize eder.<\/p>\n<pre><code class=\"language-python\">\n# G\u00f6r\u00fcnt\u00fcy\u00fc [0, 1] aral\u0131\u011f\u0131na \u00f6l\u00e7eklendirin\npytorch_tensor = pytorch_tensor.float() \/ 255.0\n<\/code><\/pre>\n<p>Ayr\u0131ca,  torchvision.transforms k\u00fct\u00fcphanesini kullanarak daha geli\u015fmi\u015f d\u00f6n\u00fc\u015f\u00fcmler uygulayabilirsiniz. \u00d6rne\u011fin,  resimleri yeniden boyutland\u0131rmak, k\u0131rpmak veya rastgele d\u00f6nd\u00fcrmek i\u00e7in bu k\u00fct\u00fcphaneden faydalanabilirsiniz. Bu y\u00f6ntem, daha esnek ve daha kontrol edilebilir bir d\u00f6n\u00fc\u015f\u00fcm sunar.  Daha fazla bilgi i\u00e7in  <a href=\"https:\/\/pytorch.org\/vision\/stable\/transforms.html\" target=\"_blank\">PyTorch torchvision.transforms d\u00f6k\u00fcman\u0131na<\/a> g\u00f6z atabilirsiniz.<\/p>\n<h2>\u00d6rnek Uygulama<\/h2>\n<p>\u015eimdi,  bu ad\u0131mlar\u0131 bir araya getiren basit bir \u00f6rnek uygulama yapal\u0131m:<\/p>\n<pre><code class=\"language-python\">\nimport torch\nfrom PIL import Image\nimport numpy as np\n\npil_image = Image.open(\"image.jpg\")\nnumpy_image = np.array(pil_image)\nnumpy_image = np.transpose(numpy_image, (2, 0, 1))\npytorch_tensor = torch.from_numpy(numpy_image).float() \/ 255.0\n\nprint(pytorch_tensor.shape)\nprint(pytorch_tensor.dtype)\n<\/code><\/pre>\n<p>Bu kod,  &#8220;image.jpg&#8221; adl\u0131 bir g\u00f6r\u00fcnt\u00fcy\u00fc y\u00fckler,  PyTorch tens\u00f6r\u00fcne d\u00f6n\u00fc\u015ft\u00fcr\u00fcr ve  [0, 1] aral\u0131\u011f\u0131na \u00f6l\u00e7eklendirir.  Son olarak,  tens\u00f6r\u00fcn \u015feklini ve veri tipini yazd\u0131r\u0131r.  Bu \u00f6rnek,  PIL g\u00f6r\u00fcnt\u00fclerinin PyTorch ile nas\u0131l kullan\u0131laca\u011f\u0131na dair temel bir anlay\u0131\u015f sa\u011flar.  Daha karma\u015f\u0131k uygulamalar i\u00e7in,  torchvision.transforms k\u00fct\u00fcphanesini kullanarak daha fazla d\u00f6n\u00fc\u015f\u00fcm ekleyebilirsiniz.  Daha fazla bilgi ve  derin \u00f6\u011frenme projeleriniz i\u00e7in  <a href=\"https:\/\/fatihsoysal.com\" target=\"_blank\">web sitemi<\/a> ziyaret edebilirsiniz.<\/p>\n<p>#Etiketler: PIL, PyTorch, G\u00f6r\u00fcnt\u00fc \u0130\u015fleme, Tens\u00f6r, D\u00f6n\u00fc\u015ft\u00fcrme, \u00d6l\u00e7eklendirme, Derin \u00d6\u011frenme, Python, Pillow,  torchvision.transforms,  Image.open, torch.from_numpy, numpy.transpose<\/p>\n","protected":false},"excerpt":{"rendered":"PIL G\u00f6r\u00fcnt\u00fclerini PyTorch Tens\u00f6rlerine D\u00f6n\u00fc\u015ft\u00fcrme ve \u00d6l\u00e7eklendirme Merhaba, Fatih Soysal burada! Bu makalede, PIL (Pillow) k\u00fct\u00fcphanesi ile olu\u015fturulmu\u015f&hellip;","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-18829","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.5 (Yoast SEO v25.3.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>PIL G\u00f6r\u00fcnt\u00fclerini PyTorch Tens\u00f6rlerine D\u00f6n\u00fc\u015ft\u00fcrme ve \u00d6l\u00e7eklendirme<\/title>\n<meta name=\"description\" content=\"Merhaba, Fatih Soysal burada! Bu makalede, PIL (Pillow) k\u00fct\u00fcphanesi ile olu\u015fturulmu\u015f g\u00f6r\u00fcnt\u00fclerin PyTorch tens\u00f6rlerine nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fclece\u011fini ve \u00f6l\u00e7eklenece\u011fini ad\u0131m ad\u0131m a\u00e7\u0131klayaca\u011f\u0131z. PyTorch, derin \u00f6\u011frenme modelleri i\u00e7in pop\u00fcler bir k\u00fct\u00fcphane ve g\u00f6r\u00fcnt\u00fc i\u015flemede s\u0131k\u00e7a kullan\u0131l\u0131r. Bu nedenle, PIL g\u00f6r\u00fcnt\u00fclerini PyTorch ile uyumlu hale getirmek, derin \u00f6\u011frenme projelerinizde olmazsa olmaz bir ad\u0131md\u0131r. \u00d6ncelikle, gerekli k\u00fct\u00fcphaneleri i\u00e7e aktararak ba\u015flayal\u0131m. Daha sonra, PIL g\u00f6r\u00fcnt\u00fclerinin PyTorch tens\u00f6rlerine d\u00f6n\u00fc\u015ft\u00fcr\u00fclmesi ve \u00f6l\u00e7eklendirilmesi i\u00e7in \u00e7e\u015fitli y\u00f6ntemleri inceleyece\u011fiz. Sonras\u0131nda da birka\u00e7 pratik \u00f6rnek \u00fczerinde bu i\u015flemleri uygulayaca\u011f\u0131z.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fatihsoysal.com\/blog\/pil-goruntulerini-pytorch-tensorlerine-donusturme-ve-olceklendirme\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PIL G\u00f6r\u00fcnt\u00fclerini PyTorch Tens\u00f6rlerine D\u00f6n\u00fc\u015ft\u00fcrme ve \u00d6l\u00e7eklendirme\" \/>\n<meta property=\"og:description\" content=\"Merhaba, Fatih Soysal burada! Bu makalede, PIL (Pillow) k\u00fct\u00fcphanesi ile olu\u015fturulmu\u015f g\u00f6r\u00fcnt\u00fclerin PyTorch tens\u00f6rlerine nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fclece\u011fini ve \u00f6l\u00e7eklenece\u011fini ad\u0131m ad\u0131m a\u00e7\u0131klayaca\u011f\u0131z. PyTorch, derin \u00f6\u011frenme modelleri i\u00e7in pop\u00fcler bir k\u00fct\u00fcphane ve g\u00f6r\u00fcnt\u00fc i\u015flemede s\u0131k\u00e7a kullan\u0131l\u0131r. Bu nedenle, PIL g\u00f6r\u00fcnt\u00fclerini PyTorch ile uyumlu hale getirmek, derin \u00f6\u011frenme projelerinizde olmazsa olmaz bir ad\u0131md\u0131r. \u00d6ncelikle, gerekli k\u00fct\u00fcphaneleri i\u00e7e aktararak ba\u015flayal\u0131m. Daha sonra, PIL g\u00f6r\u00fcnt\u00fclerinin PyTorch tens\u00f6rlerine d\u00f6n\u00fc\u015ft\u00fcr\u00fclmesi ve \u00f6l\u00e7eklendirilmesi i\u00e7in \u00e7e\u015fitli y\u00f6ntemleri inceleyece\u011fiz. 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Bu makalede, PIL (Pillow) k\u00fct\u00fcphanesi ile olu\u015fturulmu\u015f g\u00f6r\u00fcnt\u00fclerin PyTorch tens\u00f6rlerine nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fclece\u011fini ve \u00f6l\u00e7eklenece\u011fini ad\u0131m ad\u0131m a\u00e7\u0131klayaca\u011f\u0131z. PyTorch, derin \u00f6\u011frenme modelleri i\u00e7in pop\u00fcler bir k\u00fct\u00fcphane ve g\u00f6r\u00fcnt\u00fc i\u015flemede s\u0131k\u00e7a kullan\u0131l\u0131r. Bu nedenle, PIL g\u00f6r\u00fcnt\u00fclerini PyTorch ile uyumlu hale getirmek, derin \u00f6\u011frenme projelerinizde olmazsa olmaz bir ad\u0131md\u0131r. \u00d6ncelikle, gerekli k\u00fct\u00fcphaneleri i\u00e7e aktararak ba\u015flayal\u0131m. Daha sonra, PIL g\u00f6r\u00fcnt\u00fclerinin PyTorch tens\u00f6rlerine d\u00f6n\u00fc\u015ft\u00fcr\u00fclmesi ve \u00f6l\u00e7eklendirilmesi i\u00e7in \u00e7e\u015fitli y\u00f6ntemleri inceleyece\u011fiz. 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Bu makalede, PIL (Pillow) k\u00fct\u00fcphanesi ile olu\u015fturulmu\u015f g\u00f6r\u00fcnt\u00fclerin PyTorch tens\u00f6rlerine nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fclece\u011fini ve \u00f6l\u00e7eklenece\u011fini ad\u0131m ad\u0131m a\u00e7\u0131klayaca\u011f\u0131z. PyTorch, derin \u00f6\u011frenme modelleri i\u00e7in pop\u00fcler bir k\u00fct\u00fcphane ve g\u00f6r\u00fcnt\u00fc i\u015flemede s\u0131k\u00e7a kullan\u0131l\u0131r. Bu nedenle, PIL g\u00f6r\u00fcnt\u00fclerini PyTorch ile uyumlu hale getirmek, derin \u00f6\u011frenme projelerinizde olmazsa olmaz bir ad\u0131md\u0131r. \u00d6ncelikle, gerekli k\u00fct\u00fcphaneleri i\u00e7e aktararak ba\u015flayal\u0131m. Daha sonra, PIL g\u00f6r\u00fcnt\u00fclerinin PyTorch tens\u00f6rlerine d\u00f6n\u00fc\u015ft\u00fcr\u00fclmesi ve \u00f6l\u00e7eklendirilmesi i\u00e7in \u00e7e\u015fitli y\u00f6ntemleri inceleyece\u011fiz. 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