{"id":13361,"date":"2024-01-01T17:26:25","date_gmt":"2024-01-01T13:56:25","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%af%d9%84%d9%87%d8%a7%db%8c-%d9%85%db%8c%d8%af%d8%a7%d9%86-%d8%aa%d8%a7%d8%a8%d8%b4-%d8%b9%d8%b5%d8%a8%db%8c-nerf-%d8%a8%d8%a7-keras-tensorflow\/"},"modified":"2024-01-01T17:26:25","modified_gmt":"2024-01-01T13:56:25","slug":"%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%af%d9%84%d9%87%d8%a7%db%8c-%d9%85%db%8c%d8%af%d8%a7%d9%86-%d8%aa%d8%a7%d8%a8%d8%b4-%d8%b9%d8%b5%d8%a8%db%8c-nerf-%d8%a8%d8%a7-keras-tensorflow","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%af%d9%84%d9%87%d8%a7%db%8c-%d9%85%db%8c%d8%af%d8%a7%d9%86-%d8%aa%d8%a7%d8%a8%d8%b4-%d8%b9%d8%b5%d8%a8%db%8c-nerf-%d8%a8%d8%a7-keras-tensorflow\/","title":{"rendered":"\u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0645\u06cc\u062f\u0627\u0646 \u062a\u0627\u0628\u0634 \u0639\u0635\u0628\u06cc (NeRF) \u0628\u0627 Keras\/TensorFlow \u0648 DeepVision"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\"><p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0633\u0631\u0641\u0635\u0644\u0647\u0627\u06cc \u0645\u0637\u0644\u0628<\/p>\n<\/div><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%af%d9%84%d9%87%d8%a7%db%8c-%d9%85%db%8c%d8%af%d8%a7%d9%86-%d8%aa%d8%a7%d8%a8%d8%b4-%d8%b9%d8%b5%d8%a8%db%8c-nerf-%d8%a8%d8%a7-keras-tensorflow\/#%d8%af%db%8c%d8%af%da%af%d8%a7%d9%87_%d8%b1%d9%85%d8%a7%d9%86_%d8%b3%d9%86%d8%aa%d8%b2_%d9%88_%d9%85%db%8c%d8%af%d8%a7%d9%86_%d9%87%d8%a7%db%8c_%d8%aa%d8%a7%d8%a8%d8%b4%db%8c_%d8%b9%d8%b5%d8%a8%db%8c\" >\u062f\u06cc\u062f\u06af\u0627\u0647 \u0631\u0645\u0627\u0646 \u0633\u0646\u062a\u0632 \u0648 \u0645\u06cc\u062f\u0627\u0646 \u0647\u0627\u06cc \u062a\u0627\u0628\u0634\u06cc \u0639\u0635\u0628\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%af%d9%84%d9%87%d8%a7%db%8c-%d9%85%db%8c%d8%af%d8%a7%d9%86-%d8%aa%d8%a7%d8%a8%d8%b4-%d8%b9%d8%b5%d8%a8%db%8c-nerf-%d8%a8%d8%a7-keras-tensorflow\/#%d9%85%db%8c%d8%af%d8%a7%d9%86_%d9%87%d8%a7%db%8c_%d8%aa%d8%a7%d8%a8%d8%b4%db%8c_%d8%b9%d8%b5%d8%a8%db%8c_%d8%af%d8%b1_deepvision_%d9%88_tensorflow\" >\u0645\u06cc\u062f\u0627\u0646 \u0647\u0627\u06cc \u062a\u0627\u0628\u0634\u06cc \u0639\u0635\u0628\u06cc \u062f\u0631 DeepVision \u0648 TensorFlow<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%af%d9%84%d9%87%d8%a7%db%8c-%d9%85%db%8c%d8%af%d8%a7%d9%86-%d8%aa%d8%a7%d8%a8%d8%b4-%d8%b9%d8%b5%d8%a8%db%8c-nerf-%d8%a8%d8%a7-keras-tensorflow\/#%d8%af%d8%b1_%d8%ad%d8%a7%d9%84_%d8%a8%d8%a7%d8%b1%da%af%db%8c%d8%b1%db%8c_%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d8%af%d8%a7%d8%af%d9%87_tinynerf\" >\u062f\u0631 \u062d\u0627\u0644 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 TinyNeRF<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%af%d9%84%d9%87%d8%a7%db%8c-%d9%85%db%8c%d8%af%d8%a7%d9%86-%d8%aa%d8%a7%d8%a8%d8%b4-%d8%b9%d8%b5%d8%a8%db%8c-nerf-%d8%a8%d8%a7-keras-tensorflow\/#%d8%a2%d9%85%d9%88%d8%b2%d8%b4_nerf_%d8%a8%d8%a7_tensorflowkeras_%d9%88_deepvision\" >\u0622\u0645\u0648\u0632\u0634 NeRF \u0628\u0627 TensorFlow\/Keras \u0648 DeepVision<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%af%d9%84%d9%87%d8%a7%db%8c-%d9%85%db%8c%d8%af%d8%a7%d9%86-%d8%aa%d8%a7%d8%a8%d8%b4-%d8%b9%d8%b5%d8%a8%db%8c-nerf-%d8%a8%d8%a7-keras-tensorflow\/#%d8%aa%d8%ac%d8%b3%d9%85_%d8%ae%d8%b1%d9%88%d8%ac%db%8c_%d9%87%d8%a7\" >\u062a\u062c\u0633\u0645 \u062e\u0631\u0648\u062c\u06cc \u0647\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d9%85%d8%af%d9%84%d9%87%d8%a7%db%8c-%d9%85%db%8c%d8%af%d8%a7%d9%86-%d8%aa%d8%a7%d8%a8%d8%b4-%d8%b9%d8%b5%d8%a8%db%8c-nerf-%d8%a8%d8%a7-keras-tensorflow\/#%d9%86%d8%aa%db%8c%d8%ac%d9%87\" >\u0646\u062a\u06cc\u062c\u0647<\/a><\/li><\/ul><\/nav><\/div>\n<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 8<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<div><noscript><\/noscript><\/p>\n<p>\u0645\u06cc\u062f\u0627\u0646 \u0647\u0627\u06cc \u062a\u0627\u0628\u0634\u06cc \u0639\u0635\u0628\u06cc \u06a9\u0647 \u062f\u0631 \u0632\u0628\u0627\u0646 \u0639\u0627\u0645\u06cc\u0627\u0646\u0647 \u0628\u0647 \u0622\u0646 \u0647\u0627 \u0645\u06cc \u06af\u0648\u06cc\u0646\u062f <em>NeRFs<\/em> \u062f\u0631 \u0633\u0627\u0644 2020 \u062c\u0647\u0627\u0646 \u0631\u0627 \u062a\u062d\u062a \u062a\u0623\u062b\u06cc\u0631 \u0637\u0648\u0641\u0627\u0646 \u0642\u0631\u0627\u0631 \u062f\u0627\u062f\u0647 \u0627\u0646\u062f \u06a9\u0647 \u062f\u0631 \u06a9\u0646\u0627\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0645\u0646\u062a\u0634\u0631 \u0634\u062f\u0647 \u0627\u0633\u062a <a target=\"_blank\" rel=\"nofollow noopener noreferrer\" href=\"https:\/\/arxiv.org\/abs\/2003.08934\"><em>\u00abNeRF: \u0646\u0645\u0627\u06cc\u0634 \u0635\u062d\u0646\u0647\u200c\u0647\u0627 \u0628\u0647\u200c\u0639\u0646\u0648\u0627\u0646 \u0645\u06cc\u062f\u0627\u0646\u200c\u0647\u0627\u06cc \u062a\u0627\u0628\u0634\u06cc \u0639\u0635\u0628\u06cc \u0628\u0631\u0627\u06cc \u0633\u0646\u062a\u0632 \u0646\u0645\u0627\u06cc\u0634\u00bb<\/em><\/a>\u0648 \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u062a\u0635\u0627\u0648\u06cc\u0631 \u067e\u0631\u0627\u06a9\u0646\u062f\u0647 \u0648 \u0645\u0648\u0642\u0639\u06cc\u062a \u0647\u0627\u06cc \u062f\u0648\u0631\u0628\u06cc\u0646\u060c \u0647\u0645\u0686\u0646\u0627\u0646 \u0633\u0646\u06af \u0628\u0646\u0627\u06cc \u062a\u0631\u06a9\u06cc\u0628 \u0628\u0627 \u06a9\u06cc\u0641\u06cc\u062a \u0628\u0627\u0644\u0627 \u0627\u0632 \u0646\u0645\u0627\u0647\u0627\u06cc \u062c\u062f\u06cc\u062f \u0647\u0633\u062a\u0646\u062f.<\/p>\n<p>\u0627\u0632 \u0622\u0646 \u0632\u0645\u0627\u0646\u060c \u0622\u0646\u0647\u0627 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0645\u062a\u0639\u062f\u062f\u06cc \u067e\u06cc\u062f\u0627 \u06a9\u0631\u062f\u0647 \u0627\u0646\u062f\u060c \u0627\u0645\u0627 \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u064b \u0628\u0631\u062c\u0633\u062a\u0647 \u062a\u0631\u06cc\u0646 \u0622\u0646\u0647\u0627 \u062f\u0631 \u0645\u062f\u0644 \u0633\u0627\u0632\u06cc \u062d\u062c\u0645\u06cc \u062c\u063a\u0631\u0627\u0641\u06cc\u0627\u06cc\u06cc\u060c \u0628\u0627 \u062a\u06a9\u06cc\u0647 \u0634\u0631\u06a9\u062a \u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f Google \u0631\u0648\u06cc NeRF \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0633\u0627\u062e\u062a\u0627\u0631\u0647\u0627\u06cc \u0633\u0647 \u0628\u0639\u062f\u06cc \u0633\u0627\u062e\u062a\u0645\u0627\u0646 \u0647\u0627 \u0648 \u0645\u06a9\u0627\u0646 \u0647\u0627\u06cc \u0645\u06cc\u0631\u0627\u062b \u0627\u0632 \u0632\u0648\u0627\u06cc\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0645\u0627\u0647\u0648\u0627\u0631\u0647 \u0627\u06cc \u0648 \u0634\u0631\u06a9\u062a \u0647\u0627\u06cc \u0645\u062a\u062e\u0635\u0635 \u062f\u0631 \u0627\u0646\u062c\u0627\u0645 \u0628\u0627\u0632\u0633\u0627\u0632\u06cc \u0633\u0647 \u0628\u0639\u062f\u06cc \u0648 \u062f\u06cc\u062c\u06cc\u062a\u0627\u0644\u06cc \u06a9\u0631\u062f\u0646 \u0645\u06a9\u0627\u0646 \u0647\u0627\u06cc \u0641\u0631\u0647\u0646\u06af\u06cc \u0634\u0646\u0627\u062e\u062a\u0647 \u0634\u062f\u0647.<\/p>\n<blockquote>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0631\u0627\u0647\u0646\u0645\u0627\u060c \u0645\u0627 \u06cc\u06a9 \u0645\u062f\u0644 \u0645\u06cc\u062f\u0627\u0646 \u062a\u0627\u0628\u0634 \u0639\u0635\u0628\u06cc (NeRF) \u0631\u0627 \u0622\u0645\u0648\u0632\u0634 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f \u0631\u0648\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u0635\u0644\u06cc Tiny NeRF\u060c \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 TensorFlow\/Keras \u0648 DeepVision\u060c \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0633\u0646\u062a\u0632 \u0646\u0645\u0627\u06cc \u062c\u062f\u06cc\u062f\/\u0628\u0627\u0632\u0633\u0627\u0632\u06cc \u0633\u0647 \u0628\u0639\u062f\u06cc.<\/p>\n<\/blockquote>\n<p>\u062f\u0631 \u06cc\u06a9 \u0633\u0627\u0639\u062a\u060c \u0631\u0648\u06cc \u06cc\u06a9 \u0645\u0627\u0634\u06cc\u0646 \u062a\u062c\u0627\u0631\u06cc\u060c \u0646\u0645\u0627\u0647\u0627\u06cc \u062c\u062f\u06cc\u062f\u06cc \u0627\u0632 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0631\u0627 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 TinyNeRF \u0627\u0631\u0627\u0626\u0647 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/training-a-neural-radiance-field-nerf-model-with-keras-tensorflow-and-deepvision-1.png\" alt=\"\" title=\"\"><\/p>\n<h2 id=\"novelviewsynthesisandneuralradiancefields\"><span class=\"ez-toc-section\" id=\"%d8%af%db%8c%d8%af%da%af%d8%a7%d9%87_%d8%b1%d9%85%d8%a7%d9%86_%d8%b3%d9%86%d8%aa%d8%b2_%d9%88_%d9%85%db%8c%d8%af%d8%a7%d9%86_%d9%87%d8%a7%db%8c_%d8%aa%d8%a7%d8%a8%d8%b4%db%8c_%d8%b9%d8%b5%d8%a8%db%8c\"><\/span>\u062f\u06cc\u062f\u06af\u0627\u0647 \u0631\u0645\u0627\u0646 \u0633\u0646\u062a\u0632 \u0648 \u0645\u06cc\u062f\u0627\u0646 \u0647\u0627\u06cc \u062a\u0627\u0628\u0634\u06cc \u0639\u0635\u0628\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u06cc\u0646 \u0628\u062e\u0634 \u062e\u0644\u0627\u0635\u0647\/\u0645\u0642\u062f\u0645\u0647 \u0633\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc\u200c\u0634\u062f\u0647\u200c\u0627\u06cc \u062f\u0631\u0628\u0627\u0631\u0647 \u0631\u0648\u0634 \u06a9\u0627\u0631 \u0645\u06cc\u062f\u0627\u0646\u200c\u0647\u0627\u06cc \u062a\u0627\u0628\u0634\u06cc \u0639\u0635\u0628\u06cc \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc\u200c\u062f\u0647\u062f\u060c \u0627\u0645\u0627 \u0627\u06af\u0631 \u062f\u0631 \u0627\u06cc\u0646 \u0632\u0645\u06cc\u0646\u0647 \u062a\u0627\u0632\u0647 \u06a9\u0627\u0631 \u0647\u0633\u062a\u06cc\u062f\u060c \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u06a9\u0645\u06cc \u0632\u0645\u0627\u0646 \u0628\u0628\u0631\u062f \u062a\u0627 \u0628\u0647 \u0637\u0648\u0631 \u0645\u0633\u062a\u0642\u06cc\u0645 \u0631\u0648\u0634 \u06a9\u0627\u0631 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0647\u0636\u0645 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>NeRF \u0647\u0627 \u0628\u0631\u0627\u06cc <em>\u0633\u0646\u062a\u0632 \u0646\u0645\u0627\u06cc \u062c\u062f\u06cc\u062f<\/em> &#8211; \u0627\u06cc\u062c\u0627\u062f \u0646\u0645\u0627\u0647\u0627\u06cc \u062c\u062f\u06cc\u062f \u0627\u0632 \u0627\u0634\u06cc\u0627 \u0648 \u062a\u0635\u0627\u0648\u06cc\u0631\u060c \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u0628\u0631\u062e\u06cc \u0646\u0645\u0627\u0647\u0627.  \u062f\u0631 \u0648\u0627\u0642\u0639\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0633\u0646\u062a\u0632 \u0646\u0645\u0627\u06cc \u062c\u062f\u06cc\u062f \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u062a\u0628\u062f\u06cc\u0644 2 \u0628\u0639\u062f\u06cc-> 3 \u0628\u0639\u062f\u06cc \u062f\u0631 \u0646\u0638\u0631 \u0628\u06af\u06cc\u0631\u06cc\u062f\u060c \u0648 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0632\u06cc\u0627\u062f\u06cc \u0628\u0631\u0627\u06cc \u062d\u0644 \u0627\u06cc\u0646 \u0645\u0634\u06a9\u0644 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u0628\u0631\u062e\u06cc \u0627\u0632 \u0622\u0646\u0647\u0627 \u0645\u0648\u0641\u0642\u200c\u062a\u0631 \u0627\u0632 \u062f\u06cc\u06af\u0631\u0627\u0646 \u0647\u0633\u062a\u0646\u062f.<\/p>\n<p>\u0627\u0632 \u0644\u062d\u0627\u0638 \u062a\u0627\u0631\u06cc\u062e\u06cc \u06cc\u06a9 \u0645\u0634\u06a9\u0644 \u0686\u0627\u0644\u0634 \u0628\u0631\u0627\u0646\u06af\u06cc\u0632\u060c \u0631\u0627\u0647 \u062d\u0644 \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u062a\u0648\u0633\u0637 NeRF \u0647\u0627 \u0628\u0633\u06cc\u0627\u0631 \u0633\u0627\u062f\u0647 \u0627\u0633\u062a \u0648 \u062f\u0631 \u0639\u06cc\u0646 \u062d\u0627\u0644 \u0646\u062a\u0627\u06cc\u062c \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0627\u06cc \u0631\u0627 \u0628\u0647 \u0647\u0645\u0631\u0627\u0647 \u062f\u0627\u0631\u062f \u0648 \u062a\u0635\u0627\u0648\u06cc\u0631\u06cc \u0628\u0627 \u06a9\u06cc\u0641\u06cc\u062a \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627 \u0627\u0632 \u0632\u0648\u0627\u06cc\u0627\u06cc \u062c\u062f\u06cc\u062f \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/training-a-neural-radiance-field-nerf-model-with-keras-tensorflow-and-deepvision-2.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0627\u06cc\u0646\u060c \u0628\u0647 \u0637\u0648\u0631 \u0637\u0628\u06cc\u0639\u06cc\u060c \u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0631\u0648\u06cc\u06a9\u0631\u062f \u0627\u0633\u0627\u0633\u06cc \u0628\u0631\u0627\u06cc \u062d\u0644 \u062a\u0631\u06a9\u06cc\u0628 \u062f\u06cc\u062f\u06af\u0627\u0647 \u062c\u062f\u06cc\u062f\u060c \u0628\u0627 \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u0645\u0642\u0627\u0644\u0627\u062a \u0628\u0639\u062f\u06cc \u062f\u0631 \u062d\u0627\u0644 \u0628\u0631\u0631\u0633\u06cc\u060c \u062a\u0646\u0638\u06cc\u0645 \u0648 \u0628\u0647\u0628\u0648\u062f \u0642\u0631\u0627\u0631 \u062f\u0627\u062f. \u0631\u0648\u06cc \u0627\u06cc\u062f\u0647 \u0647\u0627\u06cc \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u0622\u0646<\/p>\n<p>\u062e\u0637 \u0644\u0648\u0644\u0647 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0647 \u0646\u062a\u0627\u06cc\u062c \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u062e\u0644\u0627\u0635\u0647 \u06a9\u0631\u062f:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/training-a-neural-radiance-field-nerf-model-with-keras-tensorflow-and-deepvision-3.png\" alt=\"\" title=\"\"><\/p>\n<p>\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0627\u0632 \u062a\u0635\u0627\u0648\u06cc\u0631 \u067e\u0631\u0627\u06a9\u0646\u062f\u0647 \u0628\u0627 \u062a\u0648\u0644\u06cc\u062f \u0645\u0635\u0646\u0648\u0639\u06cc \u06cc\u0627\u062f \u0645\u06cc \u06af\u06cc\u0631\u062f <em>\u0627\u0634\u0639\u0647 \u0647\u0627<\/em> \u06a9\u0647 \u062f\u0631 \u0641\u0648\u0627\u0635\u0644 \u0632\u0645\u0627\u0646\u06cc \u0645\u0639\u06cc\u0646 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0648 \u0646\u0645\u0648\u0646\u0647 \u0628\u0631\u062f\u0627\u0631\u06cc \u0645\u06cc \u0634\u0648\u0646\u062f.  \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u0641\u0631\u0627\u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u062a\u0635\u0627\u0648\u06cc\u0631\u060c \u0645\u0627\u0646\u0646\u062f \u0645\u0648\u0642\u0639\u06cc\u062a\u200c\u0647\u0627\u06cc \u062f\u0648\u0631\u0628\u06cc\u0646 \u062f\u0631 \u0647\u0646\u06af\u0627\u0645 \u06af\u0631\u0641\u062a\u0646 \u062a\u0635\u0627\u0648\u06cc\u0631\u060c \u062a\u0635\u0627\u0648\u06cc\u0631 \u062f\u0631 \u0641\u0636\u0627 \u0642\u0631\u0627\u0631 \u0645\u06cc\u200c\u06af\u06cc\u0631\u0646\u062f.  \u0628\u0647 \u0647\u0645\u06cc\u0646 \u062f\u0644\u06cc\u0644 &#8211; \u0634\u0645\u0627 \u0641\u0642\u0637 \u0646\u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0647\u0631 \u062a\u0635\u0648\u06cc\u0631\u06cc \u0631\u0627 \u0648\u0627\u0631\u062f \u06a9\u0646\u06cc\u062f\u060c \u0648 <em>\u0646\u06cc\u0627\u0632<\/em> \u0645\u0648\u0642\u0639\u06cc\u062a \u0647\u0627\u06cc \u062f\u0648\u0631\u0628\u06cc\u0646 \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646\u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u06cc\u062f \u062a\u0635\u0627\u0648\u06cc\u0631 \u0631\u0627 \u0628\u0647 \u0637\u0648\u0631 \u062f\u0642\u06cc\u0642 \u062f\u0631 \u0641\u0636\u0627 \u0642\u0631\u0627\u0631 \u062f\u0647\u06cc\u062f \u062a\u0627 \u067e\u0631\u062a\u0648\u0647\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0642\u0627\u0628\u0644 \u062f\u0631\u06a9 \u0627\u0632 \u0646\u0642\u0627\u0637 \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u0646\u062f.  \u0633\u067e\u0633 \u0646\u0642\u0627\u0637 \u0646\u0645\u0648\u0646\u0647 \u0628\u0631\u062f\u0627\u0631\u06cc \u0634\u062f\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0633\u0647 \u0628\u0639\u062f\u06cc \u0627\u0632 \u0646\u0642\u0627\u0637 \u0631\u0627 \u062a\u0634\u06a9\u06cc\u0644 \u0645\u06cc \u062f\u0647\u0646\u062f \u06a9\u0647 \u0635\u062d\u0646\u0647 \u062d\u062c\u0645\u06cc \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/training-a-neural-radiance-field-nerf-model-with-keras-tensorflow-and-deepvision-4.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u062a\u0642\u0631\u06cc\u0628\u0627\u064b a <em>\u0639\u0645\u0644\u06a9\u0631\u062f \u0635\u062d\u0646\u0647 \u062d\u062c\u0645\u06cc<\/em> &#8211; \u0645\u0642\u0627\u062f\u06cc\u0631 RGB \u0648 \u0686\u06af\u0627\u0644\u06cc (\u03c3) \u06cc\u06a9 \u0635\u062d\u0646\u0647.  \u062f\u0631 \u0648\u0627\u0642\u0639\u060c \u0645\u0627 \u0634\u0628\u06a9\u0647 \u0631\u0627 \u0622\u0645\u0648\u0632\u0634 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u062a\u0627 <em>\u062d\u0641\u0638 \u06a9\u0631\u062f\u0646<\/em> \u0631\u0646\u06af \u0648 \u0686\u06af\u0627\u0644\u06cc \u0647\u0631 \u0646\u0642\u0637\u0647 \u0648\u0631\u0648\u062f\u06cc\u060c \u062a\u0627 \u0628\u062a\u0648\u0627\u0646 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0631\u0627 \u0627\u0632 \u062f\u06cc\u062f\u06af\u0627\u0647 \u0647\u0627\u06cc \u062c\u062f\u06cc\u062f \u0628\u0627\u0632\u0633\u0627\u0632\u06cc \u06a9\u0631\u062f.  \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u06af\u0641\u062a\u0647 \u0634\u062f &#8211; NeRF \u0647\u0627 \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0646\u0645\u06cc \u0634\u0648\u0646\u062f \u0631\u0648\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0627\u0632 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0648 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0647 \u062a\u0635\u0627\u0648\u06cc\u0631 \u062c\u062f\u06cc\u062f \u062a\u0639\u0645\u06cc\u0645 \u06cc\u0627\u0628\u062f.  NeRF \u0647\u0627 \u0628\u0631\u0627\u06cc \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u06cc\u06a9 \u0635\u062d\u0646\u0647 \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f \u0648 \u0633\u067e\u0633 \u0641\u0642\u0637 \u0628\u0631\u0627\u06cc \u0622\u0646 \u06cc\u06a9 \u0635\u062d\u0646\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f. <em>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0648\u0632\u0646 \u0634\u0628\u06a9\u0647 \u062e\u0648\u062f \u0635\u062d\u0646\u0647 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f.<\/em><\/p>\n<p>\u0627\u06cc\u0646 \u0645\u0634\u06a9\u0644 \u0627\u0635\u0644\u06cc NeRF \u0647\u0627 \u0627\u0633\u062a &#8211; \u0634\u0645\u0627 \u0628\u0627\u06cc\u062f \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0628\u0631\u0627\u06cc \u0647\u0631 \u0635\u062d\u0646\u0647 \u0627\u06cc \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u06a9\u0646\u06cc\u062f \u0648 \u0622\u0645\u0648\u0632\u0634 \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u06cc\u062f. process \u0647\u0645 \u062a\u0627 \u062d\u062f\u0648\u062f\u06cc \u06a9\u0646\u062f \u0627\u0633\u062a \u0648 \u0647\u0645 \u0628\u0631\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc \u0647\u0627\u06cc \u0628\u0632\u0631\u06af \u0628\u0647 \u062d\u0627\u0641\u0638\u0647 \u0632\u06cc\u0627\u062f\u06cc \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u062f.  \u0628\u0647\u0628\u0648\u062f \u062f\u0631 \u0632\u0645\u0627\u0646 \u0622\u0645\u0648\u0632\u0634 \u06cc\u06a9 \u062d\u0648\u0632\u0647 \u062a\u062d\u0642\u06cc\u0642\u0627\u062a\u06cc \u0628\u0627 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u062c\u062f\u06cc\u062f \u0645\u0627\u0646\u0646\u062f <a href=\"https:\/\/sunset1995.github.io\/dvgo\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><em>&#8220;\u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0634\u0628\u06a9\u0647 \u0648\u06a9\u0633\u0644 \u0645\u0633\u062a\u0642\u06cc\u0645&#8221;<\/em><\/a>  \u06a9\u0647 \u0628\u0647 \u0637\u0648\u0631 \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647\u06cc \u0632\u0645\u0627\u0646 \u0622\u0645\u0648\u0632\u0634 \u0631\u0627 \u0628\u062f\u0648\u0646 \u062a\u063a\u06cc\u06cc\u0631 \u06a9\u06cc\u0641\u06cc\u062a \u062a\u0635\u0648\u06cc\u0631 \u062f\u0631 \u0622\u0646 \u0628\u0647\u0628\u0648\u062f \u0645\u06cc \u0628\u062e\u0634\u062f process.<\/p>\n<h2 id=\"neuralradiancefieldsindeepvisionandtensorflow\"><span class=\"ez-toc-section\" id=\"%d9%85%db%8c%d8%af%d8%a7%d9%86_%d9%87%d8%a7%db%8c_%d8%aa%d8%a7%d8%a8%d8%b4%db%8c_%d8%b9%d8%b5%d8%a8%db%8c_%d8%af%d8%b1_deepvision_%d9%88_tensorflow\"><\/span>\u0645\u06cc\u062f\u0627\u0646 \u0647\u0627\u06cc \u062a\u0627\u0628\u0634\u06cc \u0639\u0635\u0628\u06cc \u062f\u0631 DeepVision \u0648 TensorFlow<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc\u200c\u0647\u0627\u06cc NeRF \u0628\u0631\u0627\u06cc \u06a9\u0633\u0627\u0646\u06cc \u06a9\u0647 \u062a\u0627\u0632\u0647 \u0628\u0647 \u0631\u0646\u062f\u0631 \u062d\u062c\u0645\u06cc \u0645\u06cc\u200c\u067e\u0631\u062f\u0627\u0632\u0646\u062f \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u06a9\u0645\u06cc \u062f\u0644\u0647\u0631\u0647\u200c\u0622\u0648\u0631 \u0628\u0627\u0634\u062f\u060c \u0648 \u0645\u062e\u0627\u0632\u0646 \u06a9\u062f \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0634\u0627\u0645\u0644 \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u06a9\u0645\u06a9\u06cc \u0628\u0631\u0627\u06cc \u0628\u0631\u062e\u0648\u0631\u062f \u0628\u0627 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062d\u062c\u0645\u06cc \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u0631\u0627\u06cc \u0628\u0631\u062e\u06cc \u063a\u06cc\u0631\u0645\u0639\u0645\u0648\u0644 \u0628\u0647 \u0646\u0638\u0631 \u0628\u0631\u0633\u062f.  DeepVision \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631\u06cc \u062c\u062f\u06cc\u062f \u0627\u0633\u062a \u06a9\u0647 \u0647\u062f\u0641 \u0622\u0646 \u06cc\u06a9\u0633\u0627\u0646 \u0633\u0627\u0632\u06cc \u0628\u06cc\u0646\u0627\u06cc\u06cc \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631 \u062a\u062d\u062a \u06cc\u06a9 API \u0645\u0634\u062a\u0631\u06a9\u060c \u0628\u0627 \u0628\u0627\u0637\u0646 \u0647\u0627\u06cc \u0642\u0627\u0628\u0644 \u062a\u0639\u0648\u06cc\u0636 (TensorFlow \u0648 PyTorch)\u060c \u062a\u0628\u062f\u06cc\u0644 \u0648\u0632\u0646 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0628\u06cc\u0646 \u0645\u062f\u0644 \u0647\u0627\u060c \u0648 \u0645\u062f\u0644 \u0647\u0627\u06cc\u06cc \u0628\u0627 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06cc\u06a9\u0633\u0627\u0646 \u062f\u0631 \u0686\u0627\u0631\u0686\u0648\u0628 \u0647\u0627\u06cc Backend \u0627\u0633\u062a.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u06a9\u0627\u0647\u0634 \u0645\u0627\u0646\u0639 \u0648\u0631\u0648\u062f\u060c <a target=\"_blank\" href=\"https:\/\/github.com\/DavidLandup0\/deepvision\" rel=\"nofollow noopener noreferrer\">DeepVision<\/a> \u06cc\u06a9 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0633\u0627\u062f\u0647 \u0648 \u062f\u0631 \u0639\u06cc\u0646 \u062d\u0627\u0644 \u0648\u0627\u0642\u0639\u06cc \u0627\u0632 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc Neural Radiance Field \u0631\u0627 \u0628\u0627 \u0686\u0646\u062f\u06cc\u0646 \u0631\u0627\u0647\u200c\u0627\u0646\u062f\u0627\u0632\u06cc \u0628\u0631\u0627\u06cc \u062a\u0637\u0628\u06cc\u0642 \u0645\u0627\u0634\u06cc\u0646\u200c\u0647\u0627\u06cc \u0628\u06cc\u0634\u062a\u0631 \u0648 \u06a9\u0645\u062a\u0631 \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u0628\u0627 \u062a\u0646\u0638\u06cc\u0645\u0627\u062a \u0633\u062e\u062a\u200c\u0627\u0641\u0632\u0627\u0631\u06cc \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc\u200c\u062f\u0647\u062f:<\/p>\n<ul>\n<li><code>NeRFTiny<\/code><\/li>\n<li><code>NeRFSmall<\/code><\/li>\n<li><code>NeRFMedium<\/code><\/li>\n<li><code>NeRF<\/code><\/li>\n<li><code>NeRFLarge<\/code><\/li>\n<\/ul>\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0627\u06cc\u0646 \u062a\u0646\u0638\u06cc\u0645\u0627\u062a \u0627\u0632 \u062f\u0648 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f &#8211; <code>width<\/code> \u0648 <code>depth<\/code>.  \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 NeRF \u0647\u0627 \u062f\u0631 \u0627\u0635\u0644 \u0641\u0642\u0637 \u06cc\u06a9 \u0645\u062f\u0644 MLP \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u0627\u0632 <code>tf.keras.layers.Dense()<\/code> \u0644\u0627\u06cc\u0647 \u0647\u0627 (\u0628\u0627 \u06cc\u06a9 \u0627\u0644\u062d\u0627\u0642 \u0648\u0627\u062d\u062f \u0628\u06cc\u0646 \u0644\u0627\u06cc\u0647 \u0647\u0627)\u060c <code>depth<\/code> \u0628\u0647 \u0637\u0648\u0631 \u0645\u0633\u062a\u0642\u06cc\u0645 \u0646\u0634\u0627\u0646 \u062f\u0647\u0646\u062f\u0647 \u062a\u0639\u062f\u0627\u062f <code>Dense<\/code> \u0644\u0627\u06cc\u0647 \u0647\u0627\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 <code>width<\/code> \u062a\u0639\u062f\u0627\u062f \u0648\u0627\u062d\u062f\u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062f\u0631 \u0647\u0631 \u06cc\u06a9 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f.<\/p>\n<p><code>NeRF<\/code>  \u0645\u0637\u0627\u0628\u0642 \u0628\u0627 \u062a\u0646\u0638\u06cc\u0645\u0627\u062a \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062f\u0631 \u06a9\u0627\u063a\u0630 \u0627\u0635\u0644\u06cc \u0627\u0633\u062a\u060c \u0627\u0645\u0627 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0627\u062c\u0631\u0627\u06cc \u0622\u0646 \u062f\u0634\u0648\u0627\u0631 \u0628\u0627\u0634\u062f \u0631\u0648\u06cc \u0628\u0631\u062e\u06cc \u0627\u0632 \u0645\u0627\u0634\u06cc\u0646 \u0647\u0627\u06cc \u0645\u062d\u0644\u06cc\u060c \u062f\u0631 \u0627\u06cc\u0646 \u0635\u0648\u0631\u062a\u060c <code>NeRFMedium<\/code> \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0633\u06cc\u0627\u0631 \u0645\u0634\u0627\u0628\u0647\u06cc \u0631\u0627 \u0628\u0627 \u0646\u06cc\u0627\u0632\u0647\u0627\u06cc \u062d\u0627\u0641\u0638\u0647 \u06a9\u0648\u0686\u06a9\u062a\u0631 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u067e\u06cc\u0634 \u0628\u0631\u0648\u06cc\u0645 \u0648 DeepVision \u0631\u0627 \u0628\u0627 \u0622\u0646 \u0646\u0635\u0628 \u06a9\u0646\u06cc\u0645 <code>pip<\/code>:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-meta\">$<\/span><span class=\"bash\"> pip install deepvision-toolkit<\/span>\n<\/code><\/pre>\n<p>\u0646\u0645\u0648\u0646\u0647 \u0633\u0627\u0632\u06cc \u06cc\u06a9 \u0645\u062f\u0644 \u0628\u0647 \u0647\u0645\u06cc\u0646 \u0633\u0627\u062f\u06af\u06cc \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> deepvision\nmodel = deepvision.models.NeRFMedium(input_shape=(num_pos, input_features), \n                                     backend=<span class=\"hljs-string\">'tensorflow'<\/span>)         \nmodel.summary()\n<\/code><\/pre>\n<p>\u062e\u0648\u062f \u0645\u062f\u0644 \u0628\u0633\u06cc\u0627\u0631 \u0633\u0627\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">Model: \"ne_rftf\"\n__________________________________________________________________________________________________\n Layer (type)                   Output Shape         Param #     Connected to                     \n==================================================================================================\n input_1 (InputLayer)           ((None, 640000, 195  0           ()                               \n                                ))                                                                \n                                                                                                  \n dense (Dense)                  (None, 640000, 128)  25088       ('input_1(0)(0)')                \n                                                                                                  \n dense_1 (Dense)                (None, 640000, 128)  16512       ('dense(0)(0)')                  \n                                                                                                  \n dense_2 (Dense)                (None, 640000, 128)  16512       ('dense_1(0)(0)')                \n                                                                                                  \n dense_3 (Dense)                (None, 640000, 128)  16512       ('dense_2(0)(0)')                \n                                                                                                  \n dense_4 (Dense)                (None, 640000, 128)  16512       ('dense_3(0)(0)')                \n                                                                                                  \n concatenate (Concatenate)      (None, 640000, 323)  0           ('dense_4(0)(0)',                \n                                                                  'input_1(0)(0)')                \n                                                                                                  \n dense_5 (Dense)                (None, 640000, 128)  41472       ('concatenate(0)(0)')            \n                                                                                                  \n dense_6 (Dense)                (None, 640000, 4)    516         ('dense_5(0)(0)')                \n                                                                                                  \n==================================================================================================\nTotal params: 133,128\nTrainable params: 133,124\nNon-trainable params: 4\n__________________________________________________________________________________________________\n<\/code><\/pre>\n<p>\u0645\u0627 \u0646\u06af\u0627\u0647\u06cc \u062f\u0642\u06cc\u0642 \u062a\u0631 \u0628\u0647 \u0631\u0648\u0634 \u0628\u0631\u062e\u0648\u0631\u062f \u0628\u0627 \u062e\u0631\u0648\u062c\u06cc \u0647\u0627\u06cc \u0645\u062f\u0644 \u0648 \u0631\u0648\u0634 \u0631\u0646\u062f\u0631 \u06a9\u0631\u062f\u0646 \u062a\u0635\u0627\u0648\u06cc\u0631 \u062a\u0648\u0644\u06cc\u062f \u0634\u062f\u0647 \u062a\u0648\u0633\u0637 \u0648\u0632\u0646 \u0647\u0627\u06cc \u0645\u062f\u0644 \u062f\u0631 \u06cc\u06a9 \u0644\u062d\u0638\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u0634\u062a.<\/p>\n<h2 id=\"loadingthetinynerfdataset\"><span class=\"ez-toc-section\" id=\"%d8%af%d8%b1_%d8%ad%d8%a7%d9%84_%d8%a8%d8%a7%d8%b1%da%af%db%8c%d8%b1%db%8c_%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d8%af%d8%a7%d8%af%d9%87_tinynerf\"><\/span>\u062f\u0631 \u062d\u0627\u0644 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 TinyNeRF<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 NeRF \u0647\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u062a\u0627 \u062d\u062f\u0648\u062f\u06cc \u06af\u0631\u0627\u0646 \u0628\u0627\u0634\u0646\u062f \u0631\u0648\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631 \u0648\u0631\u0648\u062f\u06cc \u0628\u0632\u0631\u06af\u062a\u0631\u060c \u0622\u0646\u0647\u0627 \u0628\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u06a9\u0648\u0686\u06a9\u06cc \u0627\u0632 \u062a\u0635\u0627\u0648\u06cc\u0631 100&#215;100\u060c \u062f\u0648\u0628\u0644\u0647 \u0645\u0646\u062a\u0634\u0631 \u0634\u062f\u0646\u062f. <em>TinyNeRF<\/em> \u0628\u0631\u0627\u06cc \u0622\u0633\u0627\u0646 \u062a\u0631 \u06a9\u0631\u062f\u0646 \u062a\u0633\u062a \u0648 \u062a\u06a9\u0631\u0627\u0631  \u0645\u062a\u0639\u0627\u0642\u0628\u0627\u064b \u0628\u0647 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u06a9\u0644\u0627\u0633\u06cc\u06a9 \u0628\u0631\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634 NeRF \u062a\u0628\u062f\u06cc\u0644 \u0634\u062f\u0647 \u0627\u0633\u062a \u0631\u0648\u06cc \u0648 \u0628\u0631\u0627\u06cc \u0648\u0631\u0648\u062f \u0628\u0647 \u0627\u06cc\u0646 \u062d\u0648\u0632\u0647\u060c \u0645\u0634\u0627\u0628\u0647 \u0631\u0648\u0634 \u062a\u0628\u062f\u06cc\u0644 MNIST \u0628\u0647 &#8220;Hello World&#8221; \u062a\u0634\u062e\u06cc\u0635 \u0631\u0642\u0645.<\/p>\n<p>\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u06cc\u06a9 \u0645\u0648\u062c\u0648\u062f \u0627\u0633\u062a <code>.npz<\/code> \u0641\u0627\u06cc\u0644\u060c \u0648 \u062d\u0627\u0648\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631\u060c \u0646\u0642\u0627\u0637 \u06a9\u0627\u0646\u0648\u0646\u06cc (\u06a9\u0647 \u0628\u0631\u0627\u06cc \u0639\u0627\u062f\u06cc \u0633\u0627\u0632\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f) \u0648 \u0698\u0633\u062a \u0647\u0627\u06cc \u062f\u0648\u0631\u0628\u06cc\u0646\u060c \u0648 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u0627\u0646\u062a\u0634\u0627\u0631 \u06a9\u062f \u0631\u0633\u0645\u06cc \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> requests\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n<span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n\nurl = <span class=\"hljs-string\">\"https:\/\/people.eecs.berkeley.edu\/~bmild\/nerf\/tiny_nerf_data.npz\"<\/span>\nsave_path = <span class=\"hljs-string\">'tiny_nerf.npz'<\/span>\n\nfile_data = requests.get(url).content\n<span class=\"hljs-keyword\">with<\/span> <span class=\"hljs-built_in\">open<\/span>(save_path, <span class=\"hljs-string\">\"wb\"<\/span>) <span class=\"hljs-keyword\">as<\/span> file:\n    file.write(file_data)\n\ndata = np.load(save_path)\n\nimages, poses, focal = data(<span class=\"hljs-string\">\"images\"<\/span>), data(<span class=\"hljs-string\">\"poses\"<\/span>), data(<span class=\"hljs-string\">\"focal\"<\/span>)\n\n<span class=\"hljs-built_in\">print<\/span>(images.shape) \n<span class=\"hljs-built_in\">print<\/span>(poses.shape) \n<span class=\"hljs-built_in\">print<\/span>(focal) \n<\/code><\/pre>\n<p>106 \u062a\u0635\u0648\u06cc\u0631\u060c \u0647\u0631 \u06a9\u062f\u0627\u0645 100&#215;100\u060c \u0628\u0627 3 \u06a9\u0627\u0646\u0627\u0644 (RGB) \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f.  \u062a\u0645\u0627\u0645 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u06cc\u06a9 \u0628\u0648\u0644\u062f\u0648\u0632\u0631 \u06a9\u0648\u0686\u06a9 \u0644\u06af\u0648 \u0627\u0633\u062a.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u067e\u0646\u062c \u062a\u0635\u0648\u06cc\u0631 \u0627\u0648\u0644 \u0631\u0627 \u062a\u0631\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">fig, ax = plt.subplots(<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">5<\/span>, figsize=(<span class=\"hljs-number\">20<\/span>, <span class=\"hljs-number\">12<\/span>))\n<span class=\"hljs-keyword\">for<\/span> i <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(<span class=\"hljs-number\">5<\/span>):\n  ax(i).imshow(images(i))\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/training-a-neural-radiance-field-nerf-model-with-keras-tensorflow-and-deepvision-5.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0631\u0627 <em>\u0645\u0648\u0642\u0639\u06cc\u062a \u0647\u0627\u06cc \u062f\u0648\u0631\u0628\u06cc\u0646<\/em> \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u0642\u0627\u062f\u0631 \u0628\u0647 \u0628\u0627\u0632\u0633\u0627\u0632\u06cc \u0641\u0636\u0627\u06cc\u06cc \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u062a\u0635\u0627\u0648\u06cc\u0631 \u06af\u0631\u0641\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a\u060c \u0628\u0633\u06cc\u0627\u0631 \u0645\u0647\u0645 \u0647\u0633\u062a\u0646\u062f\u060c \u06a9\u0647 \u0628\u0647 \u0645\u0627 \u0627\u0645\u06a9\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u067e\u0631\u062a\u0648\u0647\u0627 \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u062a\u0635\u0627\u0648\u06cc\u0631 \u067e\u062e\u0634 \u06a9\u0646\u06cc\u0645 \u0648 \u06cc\u06a9 \u0641\u0636\u0627\u06cc \u062d\u062c\u0645\u06cc \u0628\u0627 \u0646\u0642\u0627\u0637 \u0646\u0645\u0648\u0646\u0647 \u0628\u0631\u062f\u0627\u0631\u06cc \u0634\u062f\u0647 \u062a\u0634\u06a9\u06cc\u0644 \u062f\u0647\u06cc\u0645. \u0631\u0648\u06cc \u0647\u0631 \u0637\u0631\u062d \u0631\u06cc\u0632\u06cc<\/p>\n<p>\u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0627\u06cc\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u0622\u0645\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u0632\u06cc\u0627\u062f\u06cc \u0628\u0631\u0627\u06cc \u0645\u0631\u062d\u0644\u0647 \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u0631\u062f &#8211; DeepVision \u06cc\u06a9 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f \u0645\u06cc \u062f\u0647\u062f <code>load_tiny_nerf()<\/code> \u0628\u0627\u0631\u06af\u0630\u0627\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u060c \u06a9\u0647 \u0622\u0645\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u062f\u0647\u062f\u060c \u0628\u0627 \u06cc\u06a9 \u06af\u0632\u06cc\u0646\u0647 \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc <code>validation_split<\/code>\u060c <code>pos_embed<\/code> \u0648 <code>num_ray_samples<\/code>\u060c \u0648 \u06cc\u06a9 \u0648\u0627\u0646\u06cc\u0644 \u0631\u0627 \u0628\u0631\u0645\u06cc \u06af\u0631\u062f\u0627\u0646\u062f <code>tf.data.Dataset<\/code> \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062e\u0637\u0648\u0637 \u0644\u0648\u0644\u0647 \u0628\u0627 \u06a9\u0627\u0631\u0627\u06cc\u06cc \u0628\u0627\u0644\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> deepvision\n\ntrain_ds, valid_ds = deepvision.datasets.load_tiny_nerf(pos_embed=<span class=\"hljs-number\">16<\/span>,\n                                                        num_ray_samples=<span class=\"hljs-number\">32<\/span>,\n                                                        save_path=<span class=\"hljs-string\">'tiny_nerf.npz'<\/span>,\n                                                        validation_split=<span class=\"hljs-number\">0.2<\/span>,\n                                                        backend=<span class=\"hljs-string\">'tensorflow'<\/span>) \n<\/code><\/pre>\n<p>\u0634\u0645\u0627 \u0645\u0637\u0644\u0642\u0627\u064b \u0646\u06cc\u0627\u0632\u06cc \u0628\u0647 \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0646\u062f\u0627\u0631\u06cc\u062f\u060c \u0632\u06cc\u0631\u0627 \u0646\u06a9\u062a\u0647 \u0627\u0635\u0644\u06cc \u0627\u0633\u062a <em>\u0627\u0633\u062a<\/em> \u0628\u0631\u0627\u06cc \u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u0646 \u0648 \u0628\u0647 \u062e\u0627\u0637\u0631 \u0633\u067e\u0631\u062f\u0646 \u06a9\u0627\u0645\u0644 \u062a\u0635\u0627\u0648\u06cc\u0631\u060c \u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u062f\u0631 \u062f\u0631\u062c\u0647 \u0627\u0648\u0644 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0628\u0631\u0631\u0633\u06cc \u0633\u0644\u0627\u0645\u062a \u0639\u0642\u0644 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 \u0637\u0648\u0644 \u0648 \u0627\u0634\u06a9\u0627\u0644 \u0648\u0631\u0648\u062f\u06cc \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">'Train dataset length:'<\/span>, <span class=\"hljs-built_in\">len<\/span>(train_ds))\n<span class=\"hljs-built_in\">print<\/span>(train_ds)\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u0646\u062a\u06cc\u062c\u0647 \u062f\u0631:<\/p>\n<pre><code class=\"hljs\">Train dataset length: 84\n&lt;ZipDataset element_spec=(TensorSpec(shape=(100, 100, 3), dtype=tf.float32, name=None), \n                         (TensorSpec(shape=(320000, 99), dtype=tf.float32, name=None), TensorSpec(shape=(100, 100, 32), dtype=tf.float32, name=None)))&gt;\n<\/code><\/pre>\n<p>\u0631\u0627 <code>pos_embed<\/code> \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u062a\u0639\u062f\u0627\u062f \u0631\u0627 \u062a\u0639\u06cc\u06cc\u0646 \u0645\u06cc \u06a9\u0646\u062f <em>\u062a\u0639\u0628\u06cc\u0647 \u0647\u0627\u06cc \u0645\u0648\u0636\u0639\u06cc<\/em> \u0628\u0631\u0627\u06cc \u062a\u0628\u062f\u06cc\u0644 \u0645\u062e\u062a\u0635\u0627\u062a 5 \u0628\u0639\u062f\u06cc (x\u060c y\u060c z \u0648 \u0632\u0648\u0627\u06cc\u0627\u06cc \u062f\u06cc\u062f \u062a\u062a\u0627 \u0648 \u0641\u06cc) \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u062a\u0639\u0628\u06cc\u0647 \u0647\u0627\u06cc \u0645\u0648\u0642\u0639\u06cc\u062a\u06cc \u0628\u0648\u062f\u0646\u062f <em>\u062d\u06cc\u0627\u062a\u06cc<\/em> \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646\u06a9\u0647 \u0634\u0628\u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u062f \u062a\u0648\u0627\u0628\u0639 \u0641\u0631\u06a9\u0627\u0646\u0633 \u0628\u0627\u0644\u0627\u062a\u0631 \u0631\u0627 \u0646\u0634\u0627\u0646 \u062f\u0647\u062f\u060c \u06a9\u0647 \u062f\u0631 \u06af\u0630\u0634\u062a\u0647 &#8220;\u06cc\u06a9 \u0639\u0646\u0635\u0631 \u0645\u0641\u0642\u0648\u062f&#8221; \u062f\u0631 \u06a9\u0627\u0631\u06a9\u0631\u062f \u0627\u06cc\u0646 \u0646\u0648\u0639 \u062a\u06a9\u0646\u06cc\u06a9 \u0628\u0648\u062f\u060c \u0632\u06cc\u0631\u0627 \u0634\u0628\u06a9\u0647 \u0647\u0627 \u0628\u0647 \u062f\u0644\u06cc\u0644 \u062a\u0639\u0635\u0628 \u062e\u0648\u062f \u0628\u0631\u0627\u06cc \u062a\u0642\u0631\u06cc\u0628 \u062a\u0648\u0627\u0628\u0639 \u0646\u0634\u0627\u0646 \u062f\u0647\u0646\u062f\u0647 \u062a\u0646\u0648\u0639 \u0641\u0631\u06a9\u0627\u0646\u0633 \u0628\u0627\u0644\u0627 \u062f\u0631 \u0631\u0646\u06af \u0648 \u0647\u0646\u062f\u0633\u0647 \u062a\u0644\u0627\u0634 \u0645\u06cc \u06a9\u0631\u062f\u0646\u062f. \u0628\u0647 \u062c\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0648\u0627\u0628\u0639 \u0641\u0631\u06a9\u0627\u0646\u0633 \u067e\u0627\u06cc\u06cc\u0646:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/training-a-neural-radiance-field-nerf-model-with-keras-tensorflow-and-deepvision-6.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0631\u0627 <code>num_ray_samples<\/code> \u0646\u0634\u0627\u0646 \u062f\u0647\u0646\u062f\u0647 \u062a\u0639\u062f\u0627\u062f \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u06af\u0631\u0641\u062a\u0647 \u0634\u062f\u0647 \u062f\u0631 \u0637\u0648\u0644 \u0647\u0631 \u067e\u0631\u062a\u0648 \u067e\u0631\u062a\u0627\u0628 \u0634\u062f\u0647 \u062f\u0631 \u062a\u0635\u0648\u06cc\u0631 \u0627\u0633\u062a.<\/p>\n<blockquote>\n<p>\u0637\u0628\u06cc\u0639\u062a\u0627\u064b\u060c \u0647\u0631\u0686\u0647 \u0627\u0632 \u062c\u0627\u0633\u0627\u0632\u06cc\u200c\u0647\u0627 \u0648 \u0646\u0645\u0648\u0646\u0647\u200c\u0647\u0627\u06cc \u067e\u0631\u062a\u0648\u06cc \u0645\u0648\u0642\u0639\u06cc\u062a\u06cc \u0628\u06cc\u0634\u062a\u0631\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f\u060c \u0648\u0636\u0648\u062d \u0635\u062d\u0646\u0647 \u062d\u062c\u0645\u06cc \u0631\u0627 \u0628\u0647 \u0637\u0648\u0631 \u062a\u0642\u0631\u06cc\u0628\u06cc \u0628\u0627\u0644\u0627\u062a\u0631 \u0645\u06cc\u200c\u0628\u0631\u06cc\u062f\u060c \u0648 \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646\u060c \u062c\u0632\u0626\u06cc\u0627\u062a \u0628\u06cc\u0634\u062a\u0631 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0646\u0647\u0627\u06cc\u06cc \u0628\u0647 \u0642\u06cc\u0645\u062a \u0647\u0632\u06cc\u0646\u0647\u200c\u0647\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc \u0628\u0627\u0644\u0627\u062a\u0631 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.<\/p>\n<\/blockquote>\n<h2 id=\"traininganerfwithtensorflowkerasanddeepvision\"><span class=\"ez-toc-section\" id=\"%d8%a2%d9%85%d9%88%d8%b2%d8%b4_nerf_%d8%a8%d8%a7_tensorflowkeras_%d9%88_deepvision\"><\/span>\u0622\u0645\u0648\u0632\u0634 NeRF \u0628\u0627 TensorFlow\/Keras \u0648 DeepVision<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 \u06cc\u06a9 \u0645\u062b\u0627\u0644 \u0633\u0631\u062a\u0627\u0633\u0631 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u062a\u0647\u06cc\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u060c \u0646\u0645\u0648\u0646\u0647 \u0633\u0627\u0632\u06cc \u06cc\u06a9 \u0645\u062f\u0644 \u0648 \u0622\u0645\u0648\u0632\u0634 \u0622\u0646 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 DeepVision \u0648 \u0627\u06a9\u0648\u0633\u06cc\u0633\u062a\u0645 TensorFlow\/Keras \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> deepvision\n<span class=\"hljs-keyword\">from<\/span> deepvision.datasets <span class=\"hljs-keyword\">import<\/span> load_tiny_nerf\n<span class=\"hljs-keyword\">import<\/span> tensorflow <span class=\"hljs-keyword\">as<\/span> tf\n\nconfig = {\n    <span class=\"hljs-string\">'img_height'<\/span>: <span class=\"hljs-number\">100<\/span>,\n    <span class=\"hljs-string\">'img_width'<\/span>: <span class=\"hljs-number\">100<\/span>,\n    <span class=\"hljs-string\">'pos_embed'<\/span>: <span class=\"hljs-number\">32<\/span>,\n    <span class=\"hljs-string\">'num_ray_samples'<\/span>: <span class=\"hljs-number\">64<\/span>,\n    <span class=\"hljs-string\">'batch_size'<\/span>: <span class=\"hljs-number\">1<\/span>\n}\n\nnum_pos = config(<span class=\"hljs-string\">'img_height'<\/span>) * config(<span class=\"hljs-string\">'img_width'<\/span>) * config(<span class=\"hljs-string\">'num_ray_samples'<\/span>)\ninput_features = <span class=\"hljs-number\">6<\/span> * config(<span class=\"hljs-string\">'pos_embed'<\/span>) + <span class=\"hljs-number\">3<\/span>\n\ntrain_ds, valid_ds = load_tiny_nerf(pos_embed=config(<span class=\"hljs-string\">'pos_embed'<\/span>),\n                                    num_ray_samples=config(<span class=\"hljs-string\">'num_ray_samples'<\/span>),\n                                    save_path=<span class=\"hljs-string\">'tiny_nerf.npz'<\/span>,\n                                    validation_split=<span class=\"hljs-number\">0.2<\/span>,\n                                    backend=<span class=\"hljs-string\">'tensorflow'<\/span>) \n\ntrain_ds = train_ds.batch(config(<span class=\"hljs-string\">'batch_size'<\/span>)).prefetch(tf.data.AUTOTUNE)\nvalid_ds = valid_ds.batch(config(<span class=\"hljs-string\">'batch_size'<\/span>)).prefetch(tf.data.AUTOTUNE)\n\nmodel = deepvision.models.NeRFMedium(input_shape=(num_pos, input_features),\n                                     backend=<span class=\"hljs-string\">'tensorflow'<\/span>)\n\nmodel.<span class=\"hljs-built_in\">compile<\/span>(optimizer=tf.keras.optimizers.Adam(learning_rate=<span class=\"hljs-number\">1e-3<\/span>), \n              loss=tf.keras.losses.MeanSquaredError())\n              \ncallbacks = (tf.keras.callbacks.ReduceLROnPlateau())\n\nhistory = model.fit(train_ds, \n                    epochs=<span class=\"hljs-number\">50<\/span>, \n                    validation_data=valid_ds, \n                    callbacks=callbacks)\n<\/code><\/pre>\n<p>\u062f\u0631 Nvidia GTX1660Super\u060c \u0622\u0645\u0648\u0632\u0634 \u0628\u0627 32 \u062c\u0627\u0633\u0627\u0632\u06cc \u0645\u0648\u0642\u0639\u06cc\u062a\u06cc \u0648 64 \u0646\u0645\u0648\u0646\u0647 \u067e\u0631\u062a\u0648 1 \u062f\u0642\u06cc\u0642\u0647 \u062f\u0631 \u0647\u0631 \u062f\u0648\u0631\u0647 \u0637\u0648\u0644 \u0645\u06cc \u06a9\u0634\u062f\u060c \u0627\u0645\u0627 \u062a\u0646\u0638\u06cc\u0645\u0627\u062a \u06a9\u0648\u0686\u06a9\u062a\u0631\u060c \u0645\u0627\u0646\u0646\u062f 8 \u062a\u0627 16 \u062c\u0627\u0633\u0627\u0632\u06cc \u0645\u0648\u0642\u0639\u06cc\u062a\u06cc \u0648 32 \u0646\u0645\u0648\u0646\u0647 \u0627\u0634\u0639\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u0647 7 \u062b\u0627\u0646\u06cc\u0647 \u062f\u0631 \u0647\u0631 \u062f\u0648\u0631\u0647 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f.<\/p>\n<pre><code class=\"hljs\">Epoch 1\/50\n84\/84 (==============================) - 65s 746ms\/step - loss: 0.0603 - psnr: 12.6432 - val_loss: 0.0455 - val_psnr: 13.7601 - lr: 0.0010\n...\nEpoch 50\/50\n84\/84 (==============================) - 55s 658ms\/step - loss: 0.0039 - psnr: 24.1984 - val_loss: 0.0043 - val_psnr: 23.8576 - lr: 0.0010\n<\/code><\/pre>\n<p>\u0628\u0639\u062f \u0627\u0632 \u062a\u0642\u0631\u06cc\u0628\u0627\u064b \u06cc\u06a9 \u0633\u0627\u0639\u062a\u060c \u0631\u0648\u06cc \u06cc\u06a9 GPU \u062a\u062c\u0627\u0631\u06cc \u0648\u0627\u062d\u062f\u060c \u0645\u062f\u0644 \u0628\u0647 24 PSNR \u062f\u0633\u062a \u0645\u06cc \u06cc\u0627\u0628\u062f.  \u0646\u06a9\u062a\u0647 \u0627\u06cc \u06a9\u0647 \u062f\u0631 \u0645\u0648\u0631\u062f NeRF \u0647\u0627 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 &#8211; \u0647\u0631 \u0686\u0647 \u0645\u062f\u062a \u0632\u0645\u0627\u0646 \u0628\u06cc\u0634\u062a\u0631\u06cc \u062a\u0645\u0631\u06cc\u0646 \u06a9\u0646\u06cc\u062f\u060c \u0628\u0647 \u0646\u0645\u0627\u06cc\u0634 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0627\u0635\u0644\u06cc \u0646\u0632\u062f\u06cc\u06a9 \u062a\u0631 \u0645\u06cc \u0634\u0648\u062f\u060c \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u06a9\u0647 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0628\u0627 \u0627\u0641\u0632\u0627\u06cc\u0634 \u0632\u0645\u0627\u0646 \u062a\u0645\u0631\u06cc\u0646\u060c \u0645\u0639\u06cc\u0627\u0631\u0647\u0627 \u0631\u0627 \u062f\u0631 \u0637\u0648\u0644 \u0632\u0645\u0627\u0646 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u0627\u062f.  \u062f\u0627\u0634\u062a\u0646 \u06cc\u06a9 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f <code>ReduceLROnPlateau<\/code> \u067e\u0627\u0633\u062e \u0628\u0647 \u062a\u0645\u0627\u0633 \u0628\u0631\u0627\u06cc \u06a9\u0646\u062a\u0631\u0644 \u06a9\u0627\u0647\u0634 \u0646\u0631\u062e \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u0631\u0627\u06cc \u062a\u0646\u0638\u06cc\u0645 \u062f\u0642\u06cc\u0642 \u0646\u062a\u0627\u06cc\u062c \u062f\u0631 \u0646\u0632\u062f\u06cc\u06a9\u06cc \u067e\u0627\u06cc\u0627\u0646 \u0622\u0645\u0648\u0632\u0634.<\/p>\n<p>\u0645\u062f\u0644 \u062f\u0648 \u0645\u0639\u06cc\u0627\u0631 \u0631\u0627 \u06af\u0632\u0627\u0631\u0634 \u0645\u06cc \u06a9\u0646\u062f &#8211; <code>loss<\/code> \u0648 <code>psnr<\/code>.  \u0627\u0632 \u062f\u0633\u062a \u062f\u0627\u062f\u0646 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0645\u0631\u0628\u0639\u0627\u062a \u062e\u0637\u0627 \u0628\u0631\u0627\u06cc \u0647\u0631 \u067e\u06cc\u06a9\u0633\u0644 \u0627\u0633\u062a \u0648 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u062a\u0627\u0628\u0639 \u0636\u0631\u0631 \u0639\u0627\u0644\u06cc \u0628\u0631\u0627\u06cc NeRF \u0647\u0627 \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u062f\u060c \u0627\u0645\u0627 \u062a\u0641\u0633\u06cc\u0631 \u0622\u0646 \u062f\u0634\u0648\u0627\u0631 \u0627\u0633\u062a.<\/p>\n<p><em>\u0646\u0633\u0628\u062a \u0633\u06cc\u06af\u0646\u0627\u0644 \u0628\u0647 \u0646\u0648\u06cc\u0632 \u0627\u0648\u062c (PSNR)<\/em> \u0646\u0633\u0628\u062a \u0628\u06cc\u0646 \u0633\u06cc\u06af\u0646\u0627\u0644 (\u062d\u062f\u0627\u06a9\u062b\u0631 \u0642\u062f\u0631\u062a \u06cc\u06a9 \u0633\u06cc\u06af\u0646\u0627\u0644) \u0648 \u0646\u0648\u06cc\u0632 (\u0642\u062f\u0631\u062a \u0646\u0648\u06cc\u0632 \u06a9\u0647 \u0635\u062d\u062a \u0633\u06cc\u06af\u0646\u0627\u0644 \u0631\u0627 \u062e\u0631\u0627\u0628 \u0645\u06cc \u06a9\u0646\u062f) \u0627\u0633\u062a \u06a9\u0647 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u06a9\u0627\u0647\u0634 \u0645\u06cc \u062f\u0647\u062f.  \u0646\u0633\u0628\u062a \u0633\u06cc\u06af\u0646\u0627\u0644 \u0628\u0647 \u0646\u0648\u06cc\u0632 \u067e\u06cc\u06a9 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f <em>\u06a9\u06cc\u0641\u06cc\u062a \u062a\u0635\u0648\u06cc\u0631<\/em> \u0645\u062a\u0631\u06cc\u06a9\u060c \u0648 \u062a\u0641\u0633\u06cc\u0631 \u0622\u0646 \u0628\u0631\u0627\u06cc \u0627\u0646\u0633\u0627\u0646 \u0628\u0633\u06cc\u0627\u0631 \u0634\u0647\u0648\u062f\u06cc \u0627\u0633\u062a.<\/p>\n<p>\u062f\u0631 \u062d\u0627\u0644 \u062d\u0627\u0636\u0631 \u062f\u0631 PSNR 24\u060c \u062a\u0635\u0627\u0648\u06cc\u0631 \u0646\u0633\u0628\u062a\u0627\u064b \u0648\u0627\u0636\u062d \u0645\u06cc \u0634\u0648\u0646\u062f \u0648 NeRF \u0647\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0628\u0647 PSNR \u0647\u0627\u06cc \u0628\u06cc\u0634 \u0627\u0632 40 \u0628\u0631\u0633\u0646\u062f. \u0631\u0648\u06cc \u0628\u0647 TinyNeRF \u0632\u0645\u0627\u0646 \u06a9\u0627\u0641\u06cc \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<h2 id=\"visualizingoutputs\"><span class=\"ez-toc-section\" id=\"%d8%aa%d8%ac%d8%b3%d9%85_%d8%ae%d8%b1%d9%88%d8%ac%db%8c_%d9%87%d8%a7\"><\/span>\u062a\u062c\u0633\u0645 \u062e\u0631\u0648\u062c\u06cc \u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0634\u0628\u06a9\u0647 \u06cc\u06a9 \u062a\u0627\u0646\u0633\u0648\u0631 \u0634\u06a9\u0644 \u062e\u0631\u0648\u062c\u06cc \u0645\u06cc \u062f\u0647\u062f <code>(batch_size, 640000, 4)<\/code> \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u06a9\u0627\u0646\u0627\u0644 \u0647\u0627 \u0646\u0634\u0627\u0646 \u062f\u0647\u0646\u062f\u0647 RGB \u0648 \u062a\u0631\u0627\u06a9\u0645 \u0647\u0633\u062a\u0646\u062f \u0648 640000 \u0646\u0642\u0637\u0647 \u0635\u062d\u0646\u0647 \u0631\u0627 \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u0645\u06cc \u06a9\u0646\u062f.  \u0628\u0631\u0627\u06cc \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0646 \u0627\u06cc\u0646\u0647\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u062a\u0635\u0648\u06cc\u0631\u060c \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u062a\u0627\u0646\u0633\u0648\u0631 \u0631\u0627 \u0628\u0647 \u0634\u06a9\u0644\u06cc \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u0645 <code>(batch_size, img_height, img_width, num_ray_samples, 4)<\/code>\u0648 \u0633\u067e\u0633 4 \u06a9\u0627\u0646\u0627\u0644 \u0631\u0627 \u0628\u0647 RGB \u0648 sigma \u0648 process \u0622\u0646\u0647\u0627 \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 (\u0648 \u0628\u0647 \u0635\u0648\u0631\u062a \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc\u060c \u06cc\u06a9 \u0646\u0642\u0634\u0647 \u0639\u0645\u0642 \/ \u062f\u0642\u062a).<\/p>\n<p>\u0628\u0647 \u0637\u0648\u0631 \u062e\u0627\u0635\u060c \u06a9\u0627\u0646\u0627\u0644 \u0647\u0627\u06cc RGB \u0627\u0632 \u0637\u0631\u06cc\u0642 a \u0639\u0628\u0648\u0631 \u0645\u06cc \u06a9\u0646\u0646\u062f <em>\u0633\u06cc\u06af\u0645\u0648\u0626\u06cc\u062f<\/em> \u0641\u0639\u0627\u0644 \u0633\u0627\u0632\u06cc\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u06a9\u0627\u0646\u0627\u0644 \u0633\u06cc\u06af\u0645\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 a \u0639\u0628\u0648\u0631 \u0645\u06cc \u06a9\u0646\u062f <em>ReLU<\/em> \u0641\u0639\u0627\u0644 \u0633\u0627\u0632\u06cc\u060c \u0642\u0628\u0644 \u0627\u0632 \u067e\u0631\u062f\u0627\u0632\u0634 \u0628\u06cc\u0634\u062a\u0631 \u0648 \u06a9\u0627\u0647\u0634 \u0628\u0647 \u06cc\u06a9 \u062a\u0627\u0646\u0633\u0648\u0631 \u0634\u06a9\u0644 <code>(batch_size, img_height, img_width, rgb_channels)<\/code>\u060c \u0648 \u062f\u0648 \u062a\u0627\u0646\u0633\u0648\u0631 \u0634\u06a9\u0644 <code>(batch_size, img_height, img_width, depth_channel)<\/code> \u0648 <code>(batch_size, img_height, img_width, accuracy)<\/code>.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0633\u0627\u062e\u062a\u0646 \u0627\u06cc\u0646 process \u0631\u0627\u062d\u062a \u062a\u0631\u060c \u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 <code>nerf_render_image_and_depth_tf()<\/code> \u062a\u0627\u0628\u0639 \u0627\u0632 <code>volumetric_utils<\/code>\u060c \u06a9\u0647 \u0645\u062f\u0644 \u0631\u0627 \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc RGB \u0648 \u0633\u06cc\u06af\u0645\u0627 \u0627\u0632 \u0648\u0631\u0648\u062f\u06cc\u200c\u0647\u0627 \u0645\u06cc\u200c\u067e\u0630\u06cc\u0631\u062f \u0648 \u062f\u0633\u062a\u0647\u200c\u0627\u06cc \u0627\u0632 \u062a\u0635\u0627\u0648\u06cc\u0631\u060c \u0646\u0642\u0634\u0647\u200c\u0647\u0627\u06cc \u0639\u0645\u0642 \u0648 \u0646\u0642\u0634\u0647\u200c\u0647\u0627\u06cc \u062f\u0642\u062a \u0631\u0627 \u0628\u0631\u0645\u06cc\u200c\u06af\u0631\u062f\u0627\u0646\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">from<\/span> deepvision.models.volumetric.volumetric_utils <span class=\"hljs-keyword\">import<\/span> nerf_render_image_and_depth_tf\n\n<span class=\"hljs-keyword\">for<\/span> batch <span class=\"hljs-keyword\">in<\/span> train_ds.take(<span class=\"hljs-number\">5<\/span>):\n    (images, rays) = batch\n    (rays_flat, t_vals) = rays\n    \n    image_batch, depth_maps, _ = nerf_render_image_and_depth_tf(model=model, \n                                         rays_flat=rays_flat, \n                                         t_vals=t_vals,\n                                         img_height=config(<span class=\"hljs-string\">'img_height'<\/span>), \n                                         img_width=config(<span class=\"hljs-string\">'img_width'<\/span>), \n                                         num_ray_samples=config(<span class=\"hljs-string\">'num_ray_samples'<\/span>))\n    fig, ax = plt.subplots(<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">2<\/span>)\n    ax(<span class=\"hljs-number\">0<\/span>).imshow(tf.squeeze(image_batch(<span class=\"hljs-number\">0<\/span>)))\n    ax(<span class=\"hljs-number\">1<\/span>).imshow(tf.squeeze(depth_maps(<span class=\"hljs-number\">0<\/span>)))\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627\u060c \u0645\u0627 5 \u062f\u0633\u062a\u0647 (\u0647\u0631 \u06a9\u062f\u0627\u0645 \u0628\u0627 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631) \u0648 \u0646\u0642\u0634\u0647 \u0647\u0627\u06cc \u0639\u0645\u0642 \u0622\u0646\u0647\u0627 \u0631\u0627 \u062a\u0631\u0633\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u06cc\u0645.<br \/>\u062f\u0631 \u0637\u0648\u0644 \u0622\u0645\u0648\u0632\u0634\u060c \u062e\u0648\u062f \u0645\u062f\u0644 \u0645\u062a\u06a9\u06cc \u0627\u0633\u062a \u0631\u0648\u06cc \u0631\u0627 <code>nerf_render_image_and_depth_tf()<\/code> \u062a\u0627\u0628\u0639 \u062a\u0628\u062f\u06cc\u0644 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627 \u0628\u0647 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0648 \u0645\u062d\u0627\u0633\u0628\u0647 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0645\u0631\u0628\u0639\u0627\u062a \u062e\u0637\u0627 \u0648 PSNR \u0628\u0631\u0627\u06cc \u0646\u062a\u0627\u06cc\u062c.  \u0627\u062c\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u062f \u0646\u062a\u06cc\u062c\u0647 \u0645\u06cc \u062f\u0647\u062f:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/training-a-neural-radiance-field-nerf-model-with-keras-tensorflow-and-deepvision-7.png\" alt=\"\" title=\"\"><br \/>\n<img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/training-a-neural-radiance-field-nerf-model-with-keras-tensorflow-and-deepvision-8.png\" alt=\"\" title=\"\"><\/p>\n<h2 id=\"conclusion\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%aa%db%8c%d8%ac%d9%87\"><\/span>\u0646\u062a\u06cc\u062c\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0631\u0627\u0647\u0646\u0645\u0627 &#8211; \u0645\u0627 \u0628\u0631\u062e\u06cc \u0627\u0632 \u0639\u0646\u0627\u0635\u0631 \u06a9\u0644\u06cc\u062f\u06cc Neural Radiance Fields \u0631\u0627 \u0628\u0647\u200c\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u062f\u0645\u0647\u200c\u0627\u06cc \u06a9\u0648\u062a\u0627\u0647 \u0628\u0631 \u0645\u0648\u0636\u0648\u0639\u060c \u0648 \u0633\u067e\u0633 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0648 \u0622\u0645\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 TinyNeRF \u062f\u0631 TensorFlow\u060c \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <code>tf.data<\/code>\u0648 \u0622\u0645\u0648\u0632\u0634 \u06cc\u06a9 \u0645\u062f\u0644 NeRF \u0628\u0627 \u0627\u06a9\u0648\u0633\u06cc\u0633\u062a\u0645 Keras \u0648 DeepVision.<\/p>\n<\/div>\n<p><script>\n                        !function(f,b,e,v,n,t,s)\n                        {if(f.fbq)return;n=f.fbq=function(){n.callMethod?\n                        n.callMethod.apply(n,arguments):n.queue.push(arguments)};\n                        if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0';\n                        n.queue=();t=b.createElement(e);t.async=!0;\n                        t.src=v;s=b.getElementsByTagName(e)(0);\n                        s.parentNode.insertBefore(t,s)}(window, document,'script',\n                        'https:\/\/connect.facebook.net\/en_US\/fbevents.js');\n                        fbq('init', '525232124909042');\n                        fbq('track', 'PageView');\n                    <\/script>    (\u0628\u0631\u0686\u0633\u0628\u200c\u0647\u0627 \u0628\u0647 \u062a\u0631\u062c\u0645\u0647)# python<br \/>\n<br \/><br \/>\n<br \/>\u0645\u0646\u062a\u0634\u0631 \u0634\u062f\u0647 \u062f\u0631 1403-01-01 17:26:03<br \/>\n<\/p>\n\n\n<div class=\"kk-star-ratings kksr-auto kksr-align-center kksr-valign-bottom\"\n    data-payload='{&quot;align&quot;:&quot;center&quot;,&quot;id&quot;:&quot;13361&quot;,&quot;slug&quot;:&quot;default&quot;,&quot;valign&quot;:&quot;bottom&quot;,&quot;ignore&quot;:&quot;&quot;,&quot;reference&quot;:&quot;auto&quot;,&quot;class&quot;:&quot;&quot;,&quot;count&quot;:&quot;0&quot;,&quot;legendonly&quot;:&quot;&quot;,&quot;readonly&quot;:&quot;&quot;,&quot;score&quot;:&quot;0&quot;,&quot;starsonly&quot;:&quot;&quot;,&quot;best&quot;:&quot;5&quot;,&quot;gap&quot;:&quot;5&quot;,&quot;greet&quot;:&quot;\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628&quot;,&quot;legend&quot;:&quot;0\\\/5 (0 \u0631\u0627\u06cc)&quot;,&quot;size&quot;:&quot;30&quot;,&quot;title&quot;:&quot;\u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0645\u06cc\u062f\u0627\u0646 \u062a\u0627\u0628\u0634 \u0639\u0635\u0628\u06cc (NeRF) \u0628\u0627 Keras\\\/TensorFlow \u0648 DeepVision&quot;,&quot;width&quot;:&quot;0&quot;,&quot;_legend&quot;:&quot;{score}\\\/{best} ({count} \u0631\u0627\u06cc)&quot;,&quot;font_factor&quot;:&quot;1.25&quot;}'>\n            \n<div class=\"kksr-stars\">\n    \n<div class=\"kksr-stars-inactive\">\n            <div class=\"kksr-star\" data-star=\"1\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"2\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"3\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"4\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"5\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n    <\/div>\n    \n<div class=\"kksr-stars-active\" style=\"width: 0px;\">\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n    <\/div>\n<\/div>\n                \n\n<div class=\"kksr-legend\" style=\"font-size: 24px;\">\n            <span class=\"kksr-muted\">\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628<\/span>\n    <\/div>\n    <\/div>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 8<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u0645\u06cc\u062f\u0627\u0646 \u0647\u0627\u06cc \u062a\u0627\u0628\u0634\u06cc \u0639\u0635\u0628\u06cc \u06a9\u0647 \u062f\u0631 \u0632\u0628\u0627\u0646 \u0639\u0627\u0645\u06cc\u0627\u0646\u0647 \u0628\u0647 \u0622\u0646 \u0647\u0627 \u0645\u06cc \u06af\u0648\u06cc\u0646\u062f NeRFs \u062f\u0631 \u0633\u0627\u0644 2020 \u062c\u0647\u0627\u0646 \u0631\u0627 \u062a\u062d\u062a \u062a\u0623\u062b\u06cc\u0631 \u0637\u0648\u0641\u0627\u0646 \u0642\u0631\u0627\u0631 \u062f\u0627\u062f\u0647 \u0627\u0646\u062f \u06a9\u0647 \u062f\u0631 \u06a9\u0646\u0627\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0645\u0646\u062a\u0634\u0631 \u0634\u062f\u0647 \u0627\u0633\u062a \u00abNeRF: \u0646\u0645\u0627\u06cc\u0634 \u0635\u062d\u0646\u0647\u200c\u0647\u0627 \u0628\u0647\u200c\u0639\u0646\u0648\u0627\u0646 \u0645\u06cc\u062f\u0627\u0646\u200c\u0647\u0627\u06cc \u062a\u0627\u0628\u0634\u06cc \u0639\u0635\u0628\u06cc \u0628\u0631\u0627\u06cc \u0633\u0646\u062a\u0632 \u0646\u0645\u0627\u06cc\u0634\u00bb\u0648 \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 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