Path: blob/master/translate_cache/diffusion/ddpm/evaluate.ja.json
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{1"<h1><a href=\"index.html\">Denoising Diffusion Probabilistic Models (DDPM)</a> evaluation/sampling</h1>\n<p>This is the code to generate images and create interpolations between given images.</p>\n": "<h1><a href=\"index.html\">\u30ce\u30a4\u30ba\u9664\u53bb\u62e1\u6563\u78ba\u7387\u30e2\u30c7\u30eb (DDPM) \u306e\u8a55\u4fa1/\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0</a></h1>\n<p>\u3053\u308c\u306f\u3001\u753b\u50cf\u3092\u751f\u6210\u3057\u3001\u4e0e\u3048\u3089\u308c\u305f\u753b\u50cf\u9593\u306e\u88dc\u9593\u3092\u884c\u3046\u30b3\u30fc\u30c9\u3067\u3059\u3002</p>\n",2"<h2>Sampler class</h2>\n": "<h2>\u30b5\u30f3\u30d7\u30e9\u30fc\u30af\u30e9\u30b9</h2>\n",3"<h4>Estimate <span translate=no>_^_0_^_</span></h4>\n<p><span translate=no>_^_1_^_</span></p>\n": "<h4>\u898b\u7a4d\u3082\u308a <span translate=no>_^_0_^_</span></h4>\n<p><span translate=no>_^_1_^_</span></p>\n",4"<h4>Generate images</h4>\n": "<h4>\u753b\u50cf\u3092\u751f\u6210</h4>\n",5"<h4>Interpolate two images <span translate=no>_^_0_^_</span> and <span translate=no>_^_1_^_</span> and make a video</h4>\n<ul><li><span translate=no>_^_2_^_</span> is <span translate=no>_^_3_^_</span> </li>\n<li><span translate=no>_^_4_^_</span> is <span translate=no>_^_5_^_</span> </li>\n<li><span translate=no>_^_6_^_</span> is the number of frames for the image </li>\n<li><span translate=no>_^_7_^_</span> is <span translate=no>_^_8_^_</span> </li>\n<li><span translate=no>_^_9_^_</span> specifies whether to make a video or to show each frame</li></ul>\n": "<h4><span translate=no>_^_0_^_</span><span translate=no>_^_1_^_</span>2\u679a\u306e\u753b\u50cf\u3092\u88dc\u9593\u3057\u3066\u52d5\u753b\u3092\u4f5c\u6210</h4>\n<ul><li><span translate=no>_^_2_^_</span>\u306f <span translate=no>_^_3_^_</span></li>\n<li><span translate=no>_^_4_^_</span>\u306f <span translate=no>_^_5_^_</span></li>\n<li><span translate=no>_^_6_^_</span>\u753b\u50cf\u306e\u30d5\u30ec\u30fc\u30e0\u6570\u3067\u3059</li>\n<li><span translate=no>_^_7_^_</span>\u306f <span translate=no>_^_8_^_</span></li>\n<li><span translate=no>_^_9_^_</span>\u30d3\u30c7\u30aa\u3092\u4f5c\u6210\u3059\u308b\u304b\u3001\u5404\u30d5\u30ec\u30fc\u30e0\u3092\u8868\u793a\u3059\u308b\u304b\u3092\u6307\u5b9a\u3057\u307e\u3059</li></ul>\n",6"<h4>Interpolate two images <span translate=no>_^_0_^_</span> and <span translate=no>_^_1_^_</span></h4>\n<p>We get <span translate=no>_^_2_^_</span> and <span translate=no>_^_3_^_</span>.</p>\n<p>Then interpolate to <span translate=no>_^_4_^_</span></p>\n<p>Then get <span translate=no>_^_5_^_</span></p>\n<ul><li><span translate=no>_^_6_^_</span> is <span translate=no>_^_7_^_</span> </li>\n<li><span translate=no>_^_8_^_</span> is <span translate=no>_^_9_^_</span> </li>\n<li><span translate=no>_^_10_^_</span> is <span translate=no>_^_11_^_</span> </li>\n<li><span translate=no>_^_12_^_</span> is <span translate=no>_^_13_^_</span></li></ul>\n": "<h4>2 \u3064\u306e\u753b\u50cf\u3092\u88dc\u9593\u3057\u3001<span translate=no>_^_0_^_</span> <span translate=no>_^_1_^_</span></h4>\n<p><span translate=no>_^_2_^_</span><span translate=no>_^_3_^_</span>\u3068\u53d6\u5f97\u3057\u307e\u3059.</p>\n<p>\u6b21\u306b\u3001\u6b21\u306e\u3088\u3046\u306b\u88dc\u9593\u3057\u307e\u3059 <span translate=no>_^_4_^_</span></p>\n<p>\u6b21\u306b\u3001\u53d6\u5f97 <span translate=no>_^_5_^_</span></p>\n<ul><li><span translate=no>_^_6_^_</span>\u306f <span translate=no>_^_7_^_</span></li>\n<li><span translate=no>_^_8_^_</span>\u306f <span translate=no>_^_9_^_</span></li>\n<li><span translate=no>_^_10_^_</span>\u306f <span translate=no>_^_11_^_</span></li>\n</ul><li><span translate=no>_^_12_^_</span>\u306f <span translate=no>_^_13_^_</span></li>\n",7"<h4>Sample an image step-by-step using <span translate=no>_^_0_^_</span></h4>\n<p>We sample an image step-by-step using <span translate=no>_^_1_^_</span> and at each step show the estimate <span translate=no>_^_2_^_</span></p>\n": "<h4>\u3092\u4f7f\u7528\u3057\u3066\u753b\u50cf\u3092\u6bb5\u968e\u7684\u306b\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3059\u308b <span translate=no>_^_0_^_</span></h4>\n<p><span translate=no>_^_1_^_</span>\u3092\u4f7f\u7528\u3057\u3066\u753b\u50cf\u3092\u6bb5\u968e\u7684\u306b\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3057\u3001\u5404\u30b9\u30c6\u30c3\u30d7\u3067\u898b\u7a4d\u3082\u308a\u3092\u8868\u793a\u3057\u307e\u3059 <span translate=no>_^_2_^_</span></p>\n",8"<h4>Sample an image using <span translate=no>_^_0_^_</span></h4>\n<ul><li><span translate=no>_^_1_^_</span> is <span translate=no>_^_2_^_</span> </li>\n<li><span translate=no>_^_3_^_</span> is <span translate=no>_^_4_^_</span></li></ul>\n": "<h4>\u3092\u4f7f\u7528\u3057\u3066\u753b\u50cf\u3092\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3059\u308b <span translate=no>_^_0_^_</span></h4>\n<ul><li><span translate=no>_^_1_^_</span>\u306f <span translate=no>_^_2_^_</span></li>\n</ul><li><span translate=no>_^_3_^_</span>\u306f <span translate=no>_^_4_^_</span></li>\n",9"<h4>Sample from <span translate=no>_^_0_^_</span></h4>\n<span translate=no>_^_1_^_</span>": "<h4>\u304b\u3089\u306e\u30b5\u30f3\u30d7\u30eb <span translate=no>_^_0_^_</span></h4>\n<span translate=no>_^_1_^_</span>",10"<p> </p>\n": "<p></p>\n",11"<p>20 second video </p>\n": "<p>20 \u79d2\u306e\u30d3\u30c7\u30aa</p>\n",12"<p><a href=\"utils.html\">gather</a> <span translate=no>_^_0_^_</span> </p>\n": "<p><a href=\"utils.html\">\u96c6\u307e\u308b</a> <span translate=no>_^_0_^_</span></p>\n",13"<p><span translate=no>_^_0_^_</span> </p>\n": "<p><span translate=no>_^_0_^_</span></p>\n",14"<p><span translate=no>_^_0_^_</span> in a tensor </p>\n": "<p><span translate=no>_^_0_^_</span>\u30c6\u30f3\u30bd\u30eb\u3067</p>\n",15"<p><span translate=no>_^_0_^_</span> tensor </p>\n": "<p><span translate=no>_^_0_^_</span>\u30c6\u30f3\u30bd\u30eb</p>\n",16"<p>Add batch dimension </p>\n": "<p>\u30d0\u30c3\u30c1\u30c7\u30a3\u30e1\u30f3\u30b7\u30e7\u30f3\u3092\u8ffd\u52a0</p>\n",17"<p>Add each image </p>\n": "<p>\u5404\u753b\u50cf\u3092\u8ffd\u52a0</p>\n",18"<p>Add to frames </p>\n": "<p>\u30d5\u30ec\u30fc\u30e0\u306b\u8ffd\u52a0</p>\n",19"<p>Create an interpolation animation </p>\n": "<p>\u88dc\u9593\u30a2\u30cb\u30e1\u30fc\u30b7\u30e7\u30f3\u306e\u4f5c\u6210</p>\n",20"<p>Create configs </p>\n": "<p>\u30b3\u30f3\u30d5\u30a3\u30b0\u306e\u4f5c\u6210</p>\n",21"<p>Create sampler </p>\n": "<p>\u30b5\u30f3\u30d7\u30e9\u30fc\u306e\u4f5c\u6210</p>\n",22"<p>Frames for video </p>\n": "<p>\u30d3\u30c7\u30aa\u7528\u30d5\u30ec\u30fc\u30e0</p>\n",23"<p>Generate samples </p>\n": "<p>\u30b5\u30f3\u30d7\u30eb\u3092\u751f\u6210</p>\n",24"<p>Get <span translate=no>_^_0_^_</span> and add to frames </p>\n": "<p><span translate=no>_^_0_^_</span>\u30d5\u30ec\u30fc\u30e0\u306e\u53d6\u5f97\u3068\u8ffd\u52a0</p>\n",25"<p>Get frames with different <span translate=no>_^_0_^_</span> </p>\n": "<p>\u7570\u306a\u308b\u30d5\u30ec\u30fc\u30e0\u3092\u53d6\u5f97 <span translate=no>_^_0_^_</span></p>\n",26"<p>Get some images fro data </p>\n": "<p>\u30c7\u30fc\u30bf\u304b\u3089\u3044\u304f\u3064\u304b\u306e\u753b\u50cf\u3092\u53d6\u5f97</p>\n",27"<p>Helper function to create a video </p>\n": "<p>\u52d5\u753b\u3092\u4f5c\u6210\u3059\u308b\u305f\u3081\u306e\u30d8\u30eb\u30d1\u30fc\u6a5f\u80fd</p>\n",28"<p>Helper function to display an image </p>\n": "<p>\u753b\u50cf\u3092\u8868\u793a\u3059\u308b\u30d8\u30eb\u30d1\u30fc\u95a2\u6570</p>\n",29"<p>Initialize </p>\n": "<p>[\u521d\u671f\u5316]</p>\n",30"<p>Interval to log <span translate=no>_^_0_^_</span> </p>\n": "<p>\u30ed\u30b0\u306b\u8a18\u9332\u3059\u308b\u9593\u9694 <span translate=no>_^_0_^_</span></p>\n",31"<p>Iterate until <span translate=no>_^_0_^_</span> steps </p>\n": "<p><span translate=no>_^_0_^_</span>\u30b9\u30c6\u30c3\u30d7\u307e\u3067\u7e70\u308a\u8fd4\u3059</p>\n",32"<p>Load custom configuration of the training run </p>\n": "<p>\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30e9\u30f3\u306e\u30ab\u30b9\u30bf\u30e0\u69cb\u6210\u3092\u30ed\u30fc\u30c9</p>\n",33"<p>Load training experiment </p>\n": "<p>\u8ca0\u8377\u8a13\u7df4\u5b9f\u9a13</p>\n",34"<p>Make video </p>\n": "<p>\u52d5\u753b\u3092\u4f5c\u308b</p>\n",35"<p>No gradients </p>\n": "<p>\u30b0\u30e9\u30c7\u30fc\u30b7\u30e7\u30f3\u306a\u3057</p>\n",36"<p>Number of sampels </p>\n": "<p>\u30b5\u30f3\u30d7\u30eb\u6570</p>\n",37"<p>Number of samples </p>\n": "<p>\u30b5\u30f3\u30d7\u30eb\u6570</p>\n",38"<p>Return <span translate=no>_^_0_^_</span> </p>\n": "<p>\u30ea\u30bf\u30fc\u30f3 <span translate=no>_^_0_^_</span></p>\n",39"<p>Sample </p>\n": "<p>[\u30b5\u30f3\u30d7\u30eb]</p>\n",40"<p>Sample <span translate=no>_^_0_^_</span> steps </p>\n": "<p><span translate=no>_^_0_^_</span>\u30b5\u30f3\u30d7\u30eb\u30b9\u30c6\u30c3\u30d7</p>\n",41"<p>Sample an image with an denoising animation </p>\n": "<p>\u30ce\u30a4\u30ba\u9664\u53bb\u30a2\u30cb\u30e1\u30fc\u30b7\u30e7\u30f3\u306b\u3088\u308b\u753b\u50cf\u306e\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0</p>\n",42"<p>Sample from <span translate=no>_^_0_^_</span> </p>\n": "<p>\u304b\u3089\u306e\u30b5\u30f3\u30d7\u30eb <span translate=no>_^_0_^_</span></p>\n",43"<p>Set PyTorch modules for saving and loading </p>\n": "<p>\u4fdd\u5b58\u3068\u8aad\u307f\u8fbc\u307f\u7528\u306e PyTorch \u30e2\u30b8\u30e5\u30fc\u30eb\u306e\u8a2d\u5b9a</p>\n",44"<p>Set configurations </p>\n": "<p>\u69cb\u6210\u3092\u8a2d\u5b9a</p>\n",45"<p>Show frame </p>\n": "<p>\u30d5\u30ec\u30fc\u30e0\u3092\u8868\u793a</p>\n",46"<p>Show images </p>\n": "<p>\u753b\u50cf\u3092\u8868\u793a</p>\n",47"<p>Show original images </p>\n": "<p>\u5143\u306e\u753b\u50cf\u3092\u8868\u793a</p>\n",48"<p>Start an evaluation </p>\n": "<p>\u8a55\u4fa1\u3092\u958b\u59cb\u3059\u308b</p>\n",49"<p>Start evaluation </p>\n": "<p>\u8a55\u4fa1\u3092\u958b\u59cb\u3059\u308b</p>\n",50"<p>To calculate</p>\n<span translate=no>_^_0_^_</span><p> </p>\n": "<p>\u8a08\u7b97\u3059\u308b\u306b\u306f</p>\n<span translate=no>_^_0_^_</span><p></p>\n",51"<p>Training experiment run UUID </p>\n": "<p>\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u5b9f\u9a13\u5b9f\u884c UUID</p>\n",52"<ul><li><span translate=no>_^_0_^_</span> is the <span translate=no>_^_1_^_</span> instance </li>\n<li><span translate=no>_^_2_^_</span> is the number of channels in the image </li>\n<li><span translate=no>_^_3_^_</span> is the image size </li>\n<li><span translate=no>_^_4_^_</span> is the device of the model</li></ul>\n": "<ul><li><span translate=no>_^_0_^_</span><span translate=no>_^_1_^_</span>\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3067\u3059</li>\n<li><span translate=no>_^_2_^_</span>\u306f\u753b\u50cf\u5185\u306e\u30c1\u30e3\u30f3\u30cd\u30eb\u6570</li>\n<li><span translate=no>_^_3_^_</span>\u306f\u753b\u50cf\u30b5\u30a4\u30ba\u3067\u3059</li>\n<li><span translate=no>_^_4_^_</span>\u30e2\u30c7\u30eb\u306e\u30c7\u30d0\u30a4\u30b9\u3067\u3059</li></ul>\n",53"Code to generate samples from a trained Denoising Diffusion Probabilistic Model.": "\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u6e08\u307f\u306e\u30ce\u30a4\u30ba\u9664\u53bb\u62e1\u6563\u78ba\u7387\u30e2\u30c7\u30eb\u304b\u3089\u30b5\u30f3\u30d7\u30eb\u3092\u751f\u6210\u3059\u308b\u30b3\u30fc\u30c9\u3002",54"Denoising Diffusion Probabilistic Models (DDPM) evaluation/sampling": "\u30ce\u30a4\u30ba\u9664\u53bb\u62e1\u6563\u78ba\u7387\u30e2\u30c7\u30eb (DDPM) \u306e\u8a55\u4fa1/\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0"55}5657