{"id":44212,"date":"2025-08-07T15:43:14","date_gmt":"2025-08-07T06:43:14","guid":{"rendered":"https:\/\/techgym.jp\/?p=44212"},"modified":"2025-08-07T15:43:15","modified_gmt":"2025-08-07T06:43:15","slug":"python-psnr","status":"publish","type":"post","link":"https:\/\/techgym.jp\/column\/python-psnr\/","title":{"rendered":"Python\u3067\u753b\u50cf\u54c1\u8cea\u3092\u6570\u5024\u5316\uff1aPSNR\u3092OpenCV, scikit-image, NumPy\u3067\u7b97\u51fa\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"\n<div id=\"model-response-message-contentr_7c3d792bf30cf558\" class=\"markdown markdown-main-panel stronger enable-updated-hr-color\" dir=\"ltr\"><br \/>\n<p>\u00a0<\/p>\n<hr \/>\n<p>\u753b\u50cf\u51e6\u7406\u3084\u753b\u50cf\u5727\u7e2e\u306e\u5206\u91ce\u306b\u304a\u3044\u3066\u3001\u51e6\u7406\u5f8c\u306e\u753b\u50cf\u306e\u54c1\u8cea\u3092\u5ba2\u89b3\u7684\u306b\u8a55\u4fa1\u3059\u308b\u6307\u6a19\u306f\u4e0d\u53ef\u6b20\u3067\u3059\u3002\u305d\u306e\u4e2d\u3067\u3082\u5e83\u304f\u7528\u3044\u3089\u308c\u308b\u306e\u304c**PSNR\uff08Peak Signal-to-Noise Ratio\u3001\u30d4\u30fc\u30af\u4fe1\u53f7\u5bfe\u96d1\u97f3\u6bd4\uff09**\u3067\u3059\u3002PSNR\u306f\u3001\u5143\u306e\u753b\u50cf\u3068\u51e6\u7406\u5f8c\u306e\u753b\u50cf\u3068\u306e\u9593\u306e\u52a3\u5316\u306e\u5ea6\u5408\u3044\u3092\u6570\u5024\u3067\u793a\u3059\u6307\u6a19\u3067\u3042\u308a\u3001\u5024\u304c\u9ad8\u3044\u307b\u3069\u753b\u50cf\u306e\u54c1\u8cea\u304c\u826f\u3044\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/p>\n<p>Python\u3067\u306f\u3001<b>OpenCV<\/b>\u3001<b>scikit-image<\/b>\u3001\u305d\u3057\u3066<b>NumPy<\/b>\u3068\u3044\u3063\u305f\u4e3b\u8981\u306a\u753b\u50cf\u51e6\u7406\u30fb\u6570\u5024\u8a08\u7b97\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u3063\u3066PSNR\u3092\u7c21\u5358\u306b\u7b97\u51fa\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u305d\u308c\u305e\u308c\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u7528\u3044\u305fPSNR\u7b97\u51fa\u65b9\u6cd5\u3092\u3001\u77ed\u3044\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3068\u3068\u3082\u306b\u5206\u304b\u308a\u3084\u3059\u304f\u89e3\u8aac\u3057\u307e\u3059\u3002\u753b\u50cf\u51e6\u7406\u306e\u8a55\u4fa1\u6307\u6a19\u3092\u7406\u89e3\u3057\u3001\u5b9f\u8df5\u306b\u5f79\u7acb\u3066\u305f\u3044\u65b9\u306f\u5fc5\u898b\u3067\u3059\u3002<\/p>\n<hr \/>\n<p>\u00a0<\/p>\n<h2>PSNR\u3068\u306f\uff1f\u306a\u305c\u5fc5\u8981\u306a\u306e\u304b\uff1f<\/h2>\n<p>\u00a0<\/p>\n<p>PSNR\u306f\u3001\u5143\u306e\u753b\u50cf\u3068\u30ce\u30a4\u30ba\u3084\u5727\u7e2e\u306a\u3069\u306b\u3088\u3063\u3066\u52a3\u5316\uff08\u6b6a\u307f\uff09\u3057\u305f\u753b\u50cf\u3092\u6bd4\u8f03\u3057\u3001\u305d\u306e<b>\u5dee\u304c\u3069\u306e\u7a0b\u5ea6\u5c0f\u3055\u3044\u304b<\/b>\u3092\u793a\u3059\u6307\u6a19\u3067\u3059\u3002\u4e3b\u306b\u753b\u50cf\u306e\u5727\u7e2e\u3084\u30ce\u30a4\u30ba\u9664\u53bb\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u6027\u80fd\u8a55\u4fa1\u306b\u5229\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n<p>\u00a0<\/p>\n<h3>PSNR\u306e\u8a08\u7b97\u5f0f<\/h3>\n<p>\u00a0<\/p>\n<p>PSNR\u306f\u3001\u307e\u305a\u753b\u50cf\u306e**MSE\uff08Mean Squared Error\u3001\u5e73\u5747\u4e8c\u4e57\u8aa4\u5dee\uff09**\u3092\u8a08\u7b97\u3057\u3001\u305d\u306eMSE\u3092\u57fa\u306b\u4ee5\u4e0b\u306e\u5f0f\u3067\u7b97\u51fa\u3055\u308c\u307e\u3059\u3002<\/p>\n<div class=\"math-block\"><span class=\"katex-display\"><span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"base\"><span class=\"mord text\"><span class=\"mord\">MSE<\/span><\/span><span class=\"mrel\">=<\/span><\/span><span class=\"base\"><span class=\"mord\"><span class=\"mfrac\"><span class=\"vlist-t vlist-t2\"><span class=\"vlist-r\"><span class=\"vlist\"><span class=\"\"><span class=\"mord mathnormal\">MN<\/span><\/span><span class=\"\">1<\/span><\/span><span class=\"vlist-s\">\u200b<\/span><\/span><\/span><\/span><\/span><span class=\"mop op-limits\"><span class=\"vlist-t vlist-t2\"><span class=\"vlist-r\"><span class=\"vlist\"><span class=\"\"><span class=\"sizing reset-size6 size3 mtight\"><span class=\"mord mtight\"><span class=\"mord mathnormal mtight\">i<\/span><span class=\"mrel mtight\">=<\/span>0<\/span><\/span><\/span><span class=\"\"><span class=\"mop op-symbol large-op\">\u2211<\/span><\/span><span class=\"\"><span class=\"sizing reset-size6 size3 mtight\"><span class=\"mord mtight\"><span class=\"mord mathnormal mtight\">M<\/span><span class=\"mbin mtight\">\u2212<\/span>1<\/span><\/span><\/span><\/span><span class=\"vlist-s\">\u200b<\/span><\/span><\/span><\/span><span class=\"mop op-limits\"><span class=\"vlist-t vlist-t2\"><span class=\"vlist-r\"><span class=\"vlist\"><span class=\"\"><span class=\"sizing reset-size6 size3 mtight\"><span class=\"mord mtight\"><span class=\"mord mathnormal mtight\">j<\/span><span class=\"mrel mtight\">=<\/span>0<\/span><\/span><\/span><span class=\"\"><span class=\"mop op-symbol large-op\">\u2211<\/span><\/span><span class=\"\"><span class=\"sizing reset-size6 size3 mtight\"><span class=\"mord mtight\"><span class=\"mord mathnormal mtight\">N<\/span><span class=\"mbin mtight\">\u2212<\/span>1<\/span><\/span><\/span><\/span><span class=\"vlist-s\">\u200b<\/span><\/span><\/span><\/span><span class=\"mopen\">[<\/span><span class=\"mord mathnormal\">I<\/span><span class=\"mopen\">(<\/span><span class=\"mord mathnormal\">i<\/span><span class=\"mpunct\">,<\/span><span class=\"mord mathnormal\">j<\/span><span class=\"mclose\">)<\/span><span class=\"mbin\">\u2212<\/span><\/span><span class=\"base\"><span class=\"mord mathnormal\">K<\/span><span class=\"mopen\">(<\/span><span class=\"mord mathnormal\">i<\/span><span class=\"mpunct\">,<\/span><span class=\"mord mathnormal\">j<\/span><span class=\"mclose\">)<\/span><span class=\"mclose\">]<span class=\"msupsub\"><span class=\"vlist-t\"><span class=\"vlist-r\"><span class=\"vlist\"><span class=\"\"><span class=\"sizing reset-size6 size3 mtight\"><span class=\"mord mtight\">2<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/div>\n<p>\u3053\u3053\u3067\u3001<span class=\"math-inline\"><span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"base\"><span class=\"mord mathnormal\">M<\/span><\/span><\/span><\/span><\/span>\u3068<span class=\"math-inline\"><span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"base\"><span class=\"mord mathnormal\">N<\/span><\/span><\/span><\/span><\/span>\u306f\u753b\u50cf\u306e\u9ad8\u3055\u3068\u5e45\u3001$I(i, j)$\u306f\u5143\u306e\u753b\u50cf\u306e\u30d4\u30af\u30bb\u30eb\u5024\u3001$K(i, j)$\u306f\u6bd4\u8f03\u5bfe\u8c61\u306e\u753b\u50cf\u306e\u30d4\u30af\u30bb\u30eb\u5024\u3067\u3059\u3002<\/p>\n<p>\u305d\u3057\u3066\u3001PSNR\u306f\u4ee5\u4e0b\u306e\u5f0f\u3067\u8868\u3055\u308c\u307e\u3059\u3002<\/p>\n<div class=\"math-block\"><span class=\"katex-display\"><span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"base\"><span class=\"mord text\"><span class=\"mord\">PSNR<\/span><\/span><span class=\"mrel\">=<\/span><\/span><span class=\"base\"><span class=\"mord\">10<\/span><span class=\"mbin\">\u22c5<\/span><\/span><span class=\"base\"><span class=\"mop\">log<span class=\"msupsub\"><span class=\"vlist-t vlist-t2\"><span class=\"vlist-r\"><span class=\"vlist\"><span class=\"\"><span class=\"sizing reset-size6 size3 mtight\"><span class=\"mord mtight\">10<\/span><\/span><\/span><\/span><span class=\"vlist-s\">\u200b<\/span><\/span><\/span><\/span><\/span><span class=\"minner\"><span class=\"mopen delimcenter\"><span class=\"delimsizing size3\">(<\/span><\/span><span class=\"mord\"><span class=\"mfrac\"><span class=\"vlist-t vlist-t2\"><span class=\"vlist-r\"><span class=\"vlist\"><span class=\"\"><span class=\"mord text\">MSE<\/span><\/span><span class=\"\"><span class=\"mord text\">MAX<\/span><span class=\"msupsub\"><span class=\"sizing reset-size6 size3 mtight\"><span class=\"mord mathnormal mtight\">I<\/span><\/span><span class=\"sizing reset-size6 size3 mtight\"><span class=\"mord mtight\">2<\/span><\/span><span class=\"vlist-s\">\u200b<\/span><\/span><\/span><\/span><span class=\"vlist-s\">\u200b<\/span><\/span><\/span><\/span><\/span><span class=\"mclose delimcenter\"><span class=\"delimsizing size3\">)<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/div>\n<p>\u3053\u3053\u3067\u3001<span class=\"math-inline\"><span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"base\"><span class=\"mord mathnormal\">t<\/span><span class=\"mord mathnormal\">e<\/span><span class=\"mord mathnormal\">x<\/span><span class=\"mord mathnormal\">t<\/span><span class=\"mord\"><span class=\"mord mathnormal\">M<\/span><span class=\"mord mathnormal\">A<\/span><span class=\"mord mathnormal\">X<\/span><\/span><span class=\"mord\">_<\/span><span class=\"mord mathnormal\">I<\/span><\/span><\/span><\/span><\/span>\u306f\u753b\u50cf\u306e\u6700\u5927\u53d6\u308a\u3046\u308b\u30d4\u30af\u30bb\u30eb\u5024\u3067\u3059\u3002\u4f8b\u3048\u3070\u30018\u30d3\u30c3\u30c8\u753b\u50cf\uff080\u301c255\uff09\u306e\u5834\u5408\u3001<span class=\"math-inline\"><span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"base\"><span class=\"mord mathnormal\">t<\/span><span class=\"mord mathnormal\">e<\/span><span class=\"mord mathnormal\">x<\/span><span class=\"mord mathnormal\">t<\/span><span class=\"mord\"><span class=\"mord mathnormal\">M<\/span><span class=\"mord mathnormal\">A<\/span><span class=\"mord mathnormal\">X<\/span><\/span><span class=\"mord\">_<\/span><span class=\"mord mathnormal\">I<\/span><span class=\"mrel\">=<\/span><\/span><span class=\"base\"><span class=\"mord\">255<\/span><\/span><\/span><\/span><\/span>\u3068\u306a\u308a\u307e\u3059\u3002<\/p>\n<p>\u00a0<\/p>\n<h3>\u306a\u305cPSNR\u3092\u7b97\u51fa\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u306e\u304b\uff1f<\/h3>\n<p>\u00a0<\/p>\n<ul>\n<li>\n<p><b>\u5ba2\u89b3\u7684\u306a\u8a55\u4fa1<\/b>: \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u6027\u80fd\u3092\u3001\u4eba\u9593\u306e\u4e3b\u89b3\u306b\u983c\u3089\u305a\u6570\u5024\u3067\u6bd4\u8f03\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><b>\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u6539\u5584<\/b>: PSNR\u3092\u6307\u6a19\u3068\u3059\u308b\u3053\u3068\u3067\u3001\u753b\u50cf\u51e6\u7406\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u8abf\u6574\u3084\u6539\u826f\u306e\u65b9\u5411\u6027\u3092\u5224\u65ad\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><b>\u30d9\u30f3\u30c1\u30de\u30fc\u30af<\/b>: \u7570\u306a\u308b\u624b\u6cd5\u3084\u30b7\u30b9\u30c6\u30e0\u9593\u3067\u753b\u50cf\u54c1\u8cea\u306e\u6bd4\u8f03\u3092\u884c\u3046\u969b\u306e\u6a19\u6e96\u7684\u306a\u6307\u6a19\u3068\u3057\u3066\u5229\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ul>\n<hr \/>\n<p>\u00a0<\/p>\n<h2>Python\u3067PSNR\u3092\u7b97\u51fa\u3059\u308b<\/h2>\n<p>\u00a0<\/p>\n<p>OpenCV, scikit-image, NumPy\u306f\u305d\u308c\u305e\u308cPSNR\u7b97\u51fa\u306e\u305f\u3081\u306e\u6a5f\u80fd\u3084\u3001\u305d\u306e\u5143\u3068\u306a\u308b\u8a08\u7b97\u306e\u305f\u3081\u306e\u30c4\u30fc\u30eb\u3092\u63d0\u4f9b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u00a0<\/p>\n<h3>\u6e96\u5099\uff1a\u753b\u50cf\u3068\u30ce\u30a4\u30ba\u306e\u751f\u6210<\/h3>\n<p>\u00a0<\/p>\n<p>\u307e\u305a\u3001PSNR\u3092\u8a08\u7b97\u3059\u308b\u305f\u3081\u306b\u3001\u6bd4\u8f03\u5bfe\u8c61\u3068\u306a\u308b2\u3064\u306e\u753b\u50cf\u3092\u7528\u610f\u3057\u307e\u3059\u3002\u3053\u3053\u3067\u306f\u3001NumPy\u3092\u4f7f\u3063\u3066\u7c21\u5358\u306a\u753b\u50cf\u3092\u751f\u6210\u3057\u3001\u305d\u308c\u306b\u30ce\u30a4\u30ba\u3092\u52a0\u3048\u308b\u3053\u3068\u3067\u300c\u5143\u306e\u753b\u50cf\u300d\u3068\u300c\u52a3\u5316\u753b\u50cf\u300d\u3092\u30b7\u30df\u30e5\u30ec\u30fc\u30c8\u3057\u307e\u3059\u3002<\/p>\n<div class=\"code-block ng-tns-c4256198410-229 ng-animate-disabled ng-trigger ng-trigger-codeBlockRevealAnimation\">\n<div class=\"code-block-decoration header-formatted gds-title-s ng-tns-c4256198410-229 ng-star-inserted\"><span class=\"ng-tns-c4256198410-229\">Python<\/span>\n<div class=\"buttons ng-tns-c4256198410-229 ng-star-inserted\">\u00a0<\/div>\n<\/div>\n<div class=\"formatted-code-block-internal-container ng-tns-c4256198410-229\">\n<div class=\"animated-opacity ng-tns-c4256198410-229\">\n<pre class=\"ng-tns-c4256198410-229\"><code class=\"code-container formatted ng-tns-c4256198410-229\" role=\"text\" data-test-id=\"code-content\"><span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n<span class=\"hljs-keyword\">import<\/span> cv2\n<span class=\"hljs-keyword\">from<\/span> skimage.metrics <span class=\"hljs-keyword\">import<\/span> peak_signal_noise_ratio <span class=\"hljs-keyword\">as<\/span> ski_psnr\n<span class=\"hljs-keyword\">import<\/span> math\n\n<span class=\"hljs-comment\"># \u753b\u50cf\u306e\u30b5\u30a4\u30ba<\/span>\nheight, width = <span class=\"hljs-number\">256<\/span>, <span class=\"hljs-number\">256<\/span>\n\n<span class=\"hljs-comment\"># 1. \u5143\u306e\u753b\u50cf\u3092\u751f\u6210 (\u4f8b: \u30b0\u30ec\u30fc\u30b9\u30b1\u30fc\u30eb\u306e\u30b0\u30e9\u30c7\u30fc\u30b7\u30e7\u30f3)<\/span>\noriginal_image = np.zeros((height, width), dtype=np.float32)\n<span class=\"hljs-keyword\">for<\/span> i <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(height):\n    original_image[i, :] = i \/ (height - <span class=\"hljs-number\">1<\/span>) * <span class=\"hljs-number\">255<\/span> <span class=\"hljs-comment\"># 0-255\u306e\u7bc4\u56f2<\/span>\noriginal_image_8bit = original_image.astype(np.uint8) <span class=\"hljs-comment\"># 8\u30d3\u30c3\u30c8\u6574\u6570\u306b\u5909\u63db<\/span>\n\n<span class=\"hljs-comment\"># 2. \u30ce\u30a4\u30ba\u3092\u52a0\u3048\u305f\u52a3\u5316\u753b\u50cf\u3092\u751f\u6210<\/span>\n<span class=\"hljs-comment\"># \u30ac\u30a6\u30b7\u30a2\u30f3\u30ce\u30a4\u30ba\u3092\u8ffd\u52a0<\/span>\nnoise = np.random.normal(<span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">20<\/span>, (height, width)).astype(np.float32) <span class=\"hljs-comment\"># \u6a19\u6e96\u504f\u5dee20\u306e\u30ce\u30a4\u30ba<\/span>\nnoisy_image = original_image + noise\nnoisy_image = np.clip(noisy_image, <span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">255<\/span>).astype(np.uint8) <span class=\"hljs-comment\"># 0-255\u306b\u30af\u30ea\u30c3\u30d7\u3057\u30668\u30d3\u30c3\u30c8\u6574\u6570\u306b\u5909\u63db<\/span>\n\nprint(<span class=\"hljs-string\">\"\u753b\u50cf\u3092\u751f\u6210\u3057\u307e\u3057\u305f\u3002\"<\/span>)\n<\/code><\/pre>\n<\/div>\n<\/div>\n<\/div>\n<hr \/>\n<p>\u00a0<\/p>\n<h3>1. OpenCV\u3067PSNR\u3092\u7b97\u51fa\u3059\u308b<\/h3>\n<p>\u00a0<\/p>\n<p>OpenCV\u306f<code>cv2.PSNR()<\/code>\u95a2\u6570\u3092\u63d0\u4f9b\u3057\u3066\u304a\u308a\u3001\u6700\u3082\u76f4\u63a5\u7684\u306bPSNR\u3092\u7b97\u51fa\u3067\u304d\u307e\u3059\u3002<\/p>\n<div class=\"code-block ng-tns-c4256198410-230 ng-animate-disabled ng-trigger ng-trigger-codeBlockRevealAnimation\">\n<div class=\"code-block-decoration header-formatted gds-title-s ng-tns-c4256198410-230 ng-star-inserted\"><span class=\"ng-tns-c4256198410-230\">Python<\/span>\n<div class=\"buttons ng-tns-c4256198410-230 ng-star-inserted\">\u00a0<\/div>\n<\/div>\n<div class=\"formatted-code-block-internal-container ng-tns-c4256198410-230\">\n<div class=\"animated-opacity ng-tns-c4256198410-230\">\n<pre class=\"ng-tns-c4256198410-230\"><code class=\"code-container formatted ng-tns-c4256198410-230\" role=\"text\" data-test-id=\"code-content\"><span class=\"hljs-keyword\">import<\/span> cv2\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np <span class=\"hljs-comment\"># OpenCV\u306fNumPy\u914d\u5217\u3092\u6271\u3046\u305f\u3081\u5fc5\u8981<\/span>\n\n<span class=\"hljs-comment\"># \u751f\u6210\u3057\u305f\u753b\u50cf\u3092\u4f7f\u7528<\/span>\n<span class=\"hljs-comment\"># original_image_8bit<\/span>\n<span class=\"hljs-comment\"># noisy_image<\/span>\n\n<span class=\"hljs-comment\"># OpenCV\u3067PSNR\u3092\u7b97\u51fa<\/span>\n<span class=\"hljs-comment\"># \u30d4\u30af\u30bb\u30eb\u5024\u306f0-255\u306euint8\u578b\u3092\u60f3\u5b9a<\/span>\npsnr_opencv = cv2.PSNR(original_image_8bit, noisy_image)\n\nprint(<span class=\"hljs-string\">f\"OpenCV\u306b\u3088\u308bPSNR: <span class=\"hljs-subst\">{psnr_opencv:<span class=\"hljs-number\">.2<\/span>f}<\/span> dB\"<\/span>)\n<span class=\"hljs-comment\"># \u51fa\u529b\u4f8b: OpenCV\u306b\u3088\u308bPSNR: 22.18 dB (\u30ce\u30a4\u30ba\u306e\u91cf\u306b\u3088\u3063\u3066\u5909\u52d5)<\/span>\n<\/code><\/pre>\n<\/div>\n<\/div>\n<\/div>\n<p><code>cv2.PSNR()<\/code>\u306f\u3001\u5165\u529b\u304cNumpy\u914d\u5217\u3067\u3042\u308a\u3001\u540c\u3058\u30c7\u30fc\u30bf\u578b\u3001\u540c\u3058\u30b5\u30a4\u30ba\u3067\u3042\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u901a\u5e38\u30018\u30d3\u30c3\u30c8\u753b\u50cf\uff080-255\uff09\u306b\u5bfe\u3057\u3066\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002<\/p>\n<hr \/>\n<p>\u00a0<\/p>\n<h3>2. scikit-image\u3067PSNR\u3092\u7b97\u51fa\u3059\u308b<\/h3>\n<p>\u00a0<\/p>\n<p>scikit-image\uff08<code>skimage.metrics<\/code>\u30e2\u30b8\u30e5\u30fc\u30eb\uff09\u3082PSNR\u3092\u8a08\u7b97\u3059\u308b\u95a2\u6570\u3092\u63d0\u4f9b\u3057\u3066\u304a\u308a\u3001\u753b\u50cf\u51e6\u7406\u306e\u7814\u7a76\u3084\u8a55\u4fa1\u306b\u3088\u304f\u4f7f\u308f\u308c\u307e\u3059\u3002<\/p>\n<div class=\"code-block ng-tns-c4256198410-231 ng-animate-disabled ng-trigger ng-trigger-codeBlockRevealAnimation\">\n<div class=\"code-block-decoration header-formatted gds-title-s ng-tns-c4256198410-231 ng-star-inserted\"><span class=\"ng-tns-c4256198410-231\">Python<\/span>\n<div class=\"buttons ng-tns-c4256198410-231 ng-star-inserted\">\u00a0<\/div>\n<\/div>\n<div class=\"formatted-code-block-internal-container ng-tns-c4256198410-231\">\n<div class=\"animated-opacity ng-tns-c4256198410-231\">\n<pre class=\"ng-tns-c4256198410-231\"><code class=\"code-container formatted ng-tns-c4256198410-231\" role=\"text\" data-test-id=\"code-content\"><span class=\"hljs-keyword\">from<\/span> skimage.metrics <span class=\"hljs-keyword\">import<\/span> peak_signal_noise_ratio <span class=\"hljs-keyword\">as<\/span> ski_psnr\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n\n<span class=\"hljs-comment\"># \u751f\u6210\u3057\u305f\u753b\u50cf\u3092\u4f7f\u7528<\/span>\n<span class=\"hljs-comment\"># original_image_8bit<\/span>\n<span class=\"hljs-comment\"># noisy_image<\/span>\n\n<span class=\"hljs-comment\"># scikit-image\u3067PSNR\u3092\u7b97\u51fa<\/span>\n<span class=\"hljs-comment\"># data_range\u306f\u30d4\u30af\u30bb\u30eb\u5024\u306e\u6700\u5927\u7bc4\u56f2\u3092\u6307\u5b9a (8bit\u753b\u50cf\u306a\u3089255)<\/span>\npsnr_skimage = ski_psnr(original_image_8bit, noisy_image, data_range=<span class=\"hljs-number\">255<\/span>)\n\nprint(<span class=\"hljs-string\">f\"scikit-image\u306b\u3088\u308bPSNR: <span class=\"hljs-subst\">{psnr_skimage:<span class=\"hljs-number\">.2<\/span>f}<\/span> dB\"<\/span>)\n<span class=\"hljs-comment\"># \u51fa\u529b\u4f8b: scikit-image\u306b\u3088\u308bPSNR: 22.18 dB (OpenCV\u3068\u540c\u3058\u5024\u306b\u306a\u308b\u306f\u305a)<\/span>\n<\/code><\/pre>\n<\/div>\n<\/div>\n<\/div>\n<p><code>scikit-image<\/code>\u306e<code>peak_signal_noise_ratio<\/code>\u95a2\u6570\u306f\u3001<code>data_range<\/code>\u5f15\u6570\u3067\u30d4\u30af\u30bb\u30eb\u5024\u306e\u6700\u5927\u5024\u3092\u660e\u793a\u7684\u306b\u6307\u5b9a\u3067\u304d\u308b\u70b9\u304c\u7279\u5fb4\u3067\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u753b\u50cf\u306e\u30d3\u30c3\u30c8\u6df1\u5ea6\uff08\u4f8b: 8\u30d3\u30c3\u30c8\u300110\u30d3\u30c3\u30c8\u300116\u30d3\u30c3\u30c8\uff09\u306b\u5fdc\u3058\u305f\u6b63\u78ba\u306a\u8a08\u7b97\u304c\u53ef\u80fd\u3067\u3059\u3002<\/p>\n<hr \/>\n<p>\u00a0<\/p>\n<h3>3. NumPy\u3067PSNR\u3092\u7b97\u51fa\u3059\u308b\uff08\u624b\u52d5\u8a08\u7b97\uff09<\/h3>\n<p>\u00a0<\/p>\n<p>NumPy\u3092\u4f7f\u3063\u3066\u3001PSNR\u306e\u8a08\u7b97\u5f0f\u306b\u57fa\u3065\u3044\u3066\u624b\u52d5\u3067MSE\u3092\u7b97\u51fa\u3057\u3001\u305d\u306e\u5f8cPSNR\u3092\u8a08\u7b97\u3059\u308b\u3053\u3068\u3082\u53ef\u80fd\u3067\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001PSNR\u306e\u6982\u5ff5\u3092\u3088\u308a\u6df1\u304f\u7406\u89e3\u3067\u304d\u307e\u3059\u3002<\/p>\n<div class=\"code-block ng-tns-c4256198410-232 ng-animate-disabled ng-trigger ng-trigger-codeBlockRevealAnimation\">\n<div class=\"code-block-decoration header-formatted gds-title-s ng-tns-c4256198410-232 ng-star-inserted\"><span class=\"ng-tns-c4256198410-232\">Python<\/span>\n<div class=\"buttons ng-tns-c4256198410-232 ng-star-inserted\">\u00a0<\/div>\n<\/div>\n<div class=\"formatted-code-block-internal-container ng-tns-c4256198410-232\">\n<div class=\"animated-opacity ng-tns-c4256198410-232\">\n<pre class=\"ng-tns-c4256198410-232\"><code class=\"code-container formatted ng-tns-c4256198410-232\" role=\"text\" data-test-id=\"code-content\"><span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n<span class=\"hljs-keyword\">import<\/span> math\n\n<span class=\"hljs-comment\"># \u751f\u6210\u3057\u305f\u753b\u50cf\u3092\u4f7f\u7528 (\u3053\u3053\u3067\u306ffloat\u578b\u3092\u76f4\u63a5\u4f7f\u7528)<\/span>\n<span class=\"hljs-comment\"># original_image (float32)<\/span>\n<span class=\"hljs-comment\"># noisy_image (uint8 \u306a\u306e\u3067 float32 \u306b\u5909\u63db)<\/span>\nnoisy_image_float = noisy_image.astype(np.float32)\noriginal_image_float = original_image.astype(np.float32)\n\n<span class=\"hljs-comment\"># 1. MSE (Mean Squared Error) \u306e\u8a08\u7b97<\/span>\nmse = np.mean((original_image_float - noisy_image_float) ** <span class=\"hljs-number\">2<\/span>)\n\n<span class=\"hljs-keyword\">if<\/span> mse == <span class=\"hljs-number\">0<\/span>:\n    psnr_numpy = <span class=\"hljs-built_in\">float<\/span>(<span class=\"hljs-string\">'inf'<\/span>) <span class=\"hljs-comment\"># \u5b8c\u5168\u306b\u4e00\u81f4\u3059\u308b\u5834\u5408\u3001PSNR\u306f\u7121\u9650\u5927<\/span>\n<span class=\"hljs-keyword\">else<\/span>:\n    <span class=\"hljs-comment\"># 2. MAX_I (\u6700\u5927\u30d4\u30af\u30bb\u30eb\u5024) \u306e\u8a2d\u5b9a<\/span>\n    <span class=\"hljs-comment\"># 8\u30d3\u30c3\u30c8\u753b\u50cf (0-255) \u306e\u5834\u5408<\/span>\n    max_pixel_value = <span class=\"hljs-number\">255.0<\/span> \n    \n    <span class=\"hljs-comment\"># 3. PSNR\u306e\u8a08\u7b97<\/span>\n    psnr_numpy = <span class=\"hljs-number\">10<\/span> * math.log10(max_pixel_value**<span class=\"hljs-number\">2<\/span> \/ mse)\n\nprint(<span class=\"hljs-string\">f\"NumPy\uff08\u624b\u52d5\u8a08\u7b97\uff09\u306b\u3088\u308bPSNR: <span class=\"hljs-subst\">{psnr_numpy:<span class=\"hljs-number\">.2<\/span>f}<\/span> dB\"<\/span>)\n<span class=\"hljs-comment\"># \u51fa\u529b\u4f8b: NumPy\uff08\u624b\u52d5\u8a08\u7b97\uff09\u306b\u3088\u308bPSNR: 22.18 dB (\u4e0a\u8a18\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u540c\u3058\u5024\u306b\u306a\u308b\u306f\u305a)<\/span>\n<\/code><\/pre>\n<\/div>\n<\/div>\n<\/div>\n<p>\u3053\u306e\u624b\u52d5\u8a08\u7b97\u3067\u306f\u3001\u307e\u305a\u4e8c\u4e57\u8aa4\u5dee\u306e\u5e73\u5747\uff08MSE\uff09\u3092\u8a08\u7b97\u3057\u3001\u305d\u306e\u5f8c\u306bPSNR\u306e\u5f0f\u3092\u9069\u7528\u3057\u3066\u3044\u307e\u3059\u3002<code>mse == 0<\/code>\u306e\u5834\u5408\uff082\u3064\u306e\u753b\u50cf\u304c\u5b8c\u5168\u306b\u540c\u3058\u5834\u5408\uff09\u3001PSNR\u306f\u7121\u9650\u5927\u306b\u306a\u308b\u70b9\u306b\u6ce8\u610f\u304c\u5fc5\u8981\u3067\u3059\u3002<\/p>\n<hr \/>\n<p>\u00a0<\/p>\n<h2>\u307e\u3068\u3081\u3068\u4f7f\u3044\u5206\u3051<\/h2>\n<p>\u00a0<\/p>\n<p>Python\u3067PSNR\u3092\u7b97\u51fa\u3059\u308b\u65b9\u6cd5\u306f\u8907\u6570\u3042\u308a\u307e\u3059\u304c\u3001\u305d\u308c\u305e\u308c\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u306b\u306f\u5f97\u610f\u5206\u91ce\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ul>\n<li>\n<p><b>OpenCV (<code>cv2.PSNR<\/code>)<\/b>:<\/p>\n<ul>\n<li>\n<p><b>\u7279\u5fb4<\/b>: \u6700\u3082\u30b7\u30f3\u30d7\u30eb\u3067\u76f4\u63a5\u7684\u3002\u753b\u50cf\u51e6\u7406\u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u306e\u4e00\u90e8\u3068\u3057\u3066OpenCV\u3092\u65e2\u306b\u4f7f\u3063\u3066\u3044\u308b\u5834\u5408\u306b\u4fbf\u5229\u3002<\/p>\n<\/li>\n<li>\n<p><b>\u4f7f\u3044\u5206\u3051<\/b>: NumPy\u914d\u5217\u306euint8\u578b\u753b\u50cf\u3092\u5bfe\u8c61\u306b\u3001\u9ad8\u901f\u304b\u3064\u624b\u8efd\u306bPSNR\u3092\u7b97\u51fa\u3057\u305f\u3044\u5834\u5408\u3002<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><b>scikit-image (<code>skimage.metrics.peak_signal_noise_ratio<\/code>)<\/b>:<\/p>\n<ul>\n<li>\n<p><b>\u7279\u5fb4<\/b>: <code>data_range<\/code>\u5f15\u6570\u3067\u753b\u50cf\u306e\u30d3\u30c3\u30c8\u6df1\u5ea6\u306b\u67d4\u8edf\u306b\u5bfe\u5fdc\u3067\u304d\u308b\u3002\u753b\u50cf\u54c1\u8cea\u8a55\u4fa1\u95a2\u6570\u304c\u8c4a\u5bcc\u3002<\/p>\n<\/li>\n<li>\n<p><b>\u4f7f\u3044\u5206\u3051<\/b>: \u753b\u50cf\u306e\u30d3\u30c3\u30c8\u6df1\u5ea6\u304c\u69d8\u3005\u3067\u3042\u3063\u305f\u308a\u3001\u4ed6\u306e\u753b\u50cf\u54c1\u8cea\u8a55\u4fa1\u6307\u6a19\uff08SSIM\u306a\u3069\uff09\u3082\u540c\u6642\u306b\u8a08\u7b97\u3057\u305f\u3044\u5834\u5408\u3002\u7814\u7a76\u7528\u9014\u3084\u3088\u308a\u53b3\u5bc6\u306a\u8a55\u4fa1\u304c\u5fc5\u8981\u306a\u5834\u5408\u3002<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><b>NumPy\uff08\u624b\u52d5\u8a08\u7b97\uff09<\/b>:<\/p>\n<ul>\n<li>\n<p><b>\u7279\u5fb4<\/b>: PSNR\u306e\u8a08\u7b97\u30ed\u30b8\u30c3\u30af\u3092\u7406\u89e3\u3059\u308b\u306e\u306b\u6700\u9069\u3002\u7279\u5b9a\u306e\u30ab\u30b9\u30bf\u30e0\u306a\u8a08\u7b97\uff08\u4f8b: \u7279\u5b9a\u306e\u9818\u57df\u3060\u3051\u306ePSNR\uff09\u304c\u5fc5\u8981\u306a\u5834\u5408\u306b\u67d4\u8edf\u306b\u5bfe\u5fdc\u3067\u304d\u308b\u3002<\/p>\n<\/li>\n<li>\n<p><b>\u4f7f\u3044\u5206\u3051<\/b>: \u8a08\u7b97\u30d7\u30ed\u30bb\u30b9\u3092\u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u3057\u305f\u3044\u3001\u307e\u305f\u306f\u30e9\u30a4\u30d6\u30e9\u30ea\u306b\u4f9d\u5b58\u3057\u306a\u3044\u7d14\u7c8b\u306aNumPy\u30d9\u30fc\u30b9\u306e\u8a08\u7b97\u304c\u5fc5\u8981\u306a\u5834\u5408\u3002<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>\u3053\u308c\u3089\u306e\u65b9\u6cd5\u3092\u4f7f\u3044\u3053\u306a\u3059\u3053\u3068\u3067\u3001Python\u3067\u306e\u753b\u50cf\u51e6\u7406\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u8a55\u4fa1\u3068\u6539\u5584\u304c\u683c\u6bb5\u306b\u5bb9\u6613\u306b\u306a\u308a\u307e\u3059\u3002\u3042\u306a\u305f\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u8981\u4ef6\u306b\u5408\u308f\u305b\u3066\u3001\u6700\u9069\u306aPSNR\u7b97\u51fa\u65b9\u6cd5\u3092\u9078\u629e\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n<\/div>\n\n\n\n<p>\u25a0\u30d7\u30ed\u30f3\u30d7\u30c8\u3060\u3051\u3067\u30aa\u30ea\u30b8\u30ca\u30eb\u30a2\u30d7\u30ea\u3092\u958b\u767a\u30fb\u516c\u958b\u3057\u3066\u307f\u305f\uff01\uff01<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"6qXNQtzEzK\"><a href=\"https:\/\/techgym.jp\/column\/ori-app\/\">\u30d7\u30ed\u30f3\u30d7\u30c8\u3060\u3051\u3067\u30aa\u30ea\u30b8\u30ca\u30eb\u30a2\u30d7\u30ea\u3092\u958b\u767a\u30fb\u516c\u958b\u3057\u3066\u307f\u305f\uff01\uff01<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;\u30d7\u30ed\u30f3\u30d7\u30c8\u3060\u3051\u3067\u30aa\u30ea\u30b8\u30ca\u30eb\u30a2\u30d7\u30ea\u3092\u958b\u767a\u30fb\u516c\u958b\u3057\u3066\u307f\u305f\uff01\uff01&#8221; &#8212; \u3010\u30c6\u30c3\u30af\u30b8\u30e0\u3011\u683c\u5b89\u30fb\u5bfe\u9762\u578b\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30b9\u30af\u30fc\u30eb\" src=\"https:\/\/techgym.jp\/column\/ori-app\/embed\/#?secret=ZGzRdDM005#?secret=6qXNQtzEzK\" data-secret=\"6qXNQtzEzK\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p>\u25a0AI\u6642\u4ee3\u306e\u7b2c\u4e00\u6b69\uff01\u300cAI\u99c6\u52d5\u958b\u767a\u30b3\u30fc\u30b9\u300d\u306f\u3058\u3081\u307e\u3057\u305f\uff01<\/p>\n\n\n\n<p>\u30c6\u30c3\u30af\u30b8\u30e0\u6771\u4eac\u672c\u6821\u3067\u5148\u884c\u958b\u59cb\u3002<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"ZG9DKzcYYr\"><a href=\"https:\/\/techgym.jp\/about\/ai-driven-development\/\">AI\u99c6\u52d5\u958b\u767a\/\u751f\u6210AI\u30a8\u30f3\u30b8\u30cb\u30a2\u30b3\u30fc\u30b9\uff08\u521d\u5fc3\u8005\u5411\u3051\uff09<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;AI\u99c6\u52d5\u958b\u767a\/\u751f\u6210AI\u30a8\u30f3\u30b8\u30cb\u30a2\u30b3\u30fc\u30b9\uff08\u521d\u5fc3\u8005\u5411\u3051\uff09&#8221; &#8212; \u3010\u30c6\u30c3\u30af\u30b8\u30e0\u3011\u683c\u5b89\u30fb\u5bfe\u9762\u578b\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30b9\u30af\u30fc\u30eb\" src=\"https:\/\/techgym.jp\/about\/ai-driven-development\/embed\/#?secret=ldBFBUqT72#?secret=ZG9DKzcYYr\" data-secret=\"ZG9DKzcYYr\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p>\u25a0\u30c6\u30c3\u30af\u30b8\u30e0\u6771\u4eac\u672c\u6821<\/p>\n\n\n\n<p>\u300c\u6b66\u7530\u587e\u300d\u306e\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u7248\u3068\u3044\u3048\u3070\u300c\u30c6\u30c3\u30af\u30b8\u30e0\u300d\u3002<br>\u8b1b\u7fa9\u52d5\u753b\u306a\u3057\u3001\u6559\u79d1\u66f8\u306a\u3057\u3002\u300c\u9032\u6357\u7ba1\u7406\u3068\u30b3\u30fc\u30c1\u30f3\u30b0\u300d\u3067\u52b9\u7387\u5b66\u7fd2\u3002<br>\u3088\u308a\u65e9\u304f\u3001\u3088\u308a\u5b89\u304f\u3001\u3057\u304b\u3082\u5bfe\u9762\u578b\u306e\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30b9\u30af\u30fc\u30eb\u3067\u3059\u3002<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"j9nNRLxVfI\"><a href=\"https:\/\/techgym.jp\/tokyo\/tokyo_honko\/\">\u30c6\u30c3\u30af\u30b8\u30e0\u6771\u4eac\u672c\u6821<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;\u30c6\u30c3\u30af\u30b8\u30e0\u6771\u4eac\u672c\u6821&#8221; &#8212; \u3010\u30c6\u30c3\u30af\u30b8\u30e0\u3011\u683c\u5b89\u30fb\u5bfe\u9762\u578b\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30b9\u30af\u30fc\u30eb\" src=\"https:\/\/techgym.jp\/tokyo\/tokyo_honko\/embed\/#?secret=hAUii7yRjp#?secret=j9nNRLxVfI\" data-secret=\"j9nNRLxVfI\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p>\uff1c\u77ed\u671f\u8b1b\u7fd2\uff1e5\u65e5\u30675\u4e07\u5186\u306e\u300cPython\u30df\u30cb\u30ad\u30e3\u30f3\u30d7\u300d\u958b\u50ac\u4e2d\u3002<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"8E7q31jUfT\"><a href=\"https:\/\/techgym.jp\/event\/nagatacho_camp\/\">\u72ec\u5b66\u3082\u30aa\u30f3\u30e9\u30a4\u30f3\u3082\u7121\u7406\u3060\u304b\u3089\u3001\u6709\u7d66\u3068\u3063\u3066\u300cPython\u30df\u30cb\u30ad\u30e3\u30f3\u30d7\u300d\u3078\u30105\u65e5\u9593\u30675\u4e07\u5186\u3011<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;\u72ec\u5b66\u3082\u30aa\u30f3\u30e9\u30a4\u30f3\u3082\u7121\u7406\u3060\u304b\u3089\u3001\u6709\u7d66\u3068\u3063\u3066\u300cPython\u30df\u30cb\u30ad\u30e3\u30f3\u30d7\u300d\u3078\u30105\u65e5\u9593\u30675\u4e07\u5186\u3011&#8221; &#8212; \u3010\u30c6\u30c3\u30af\u30b8\u30e0\u3011\u683c\u5b89\u30fb\u5bfe\u9762\u578b\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30b9\u30af\u30fc\u30eb\" src=\"https:\/\/techgym.jp\/event\/nagatacho_camp\/embed\/#?secret=Tp4h4TYV9x#?secret=8E7q31jUfT\" data-secret=\"8E7q31jUfT\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p>\uff1c\u67081\u958b\u50ac\uff1e\u653e\u9001\u4f5c\u5bb6\u306b\u3088\u308b\u6620\u50cf\u30c7\u30a3\u30ec\u30af\u30bf\u30fc\u990a\u6210\u8b1b\u5ea7<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"oafhePxeaE\"><a href=\"https:\/\/techgym.jp\/event\/video_director\/\">\u73fe\u5f79\u653e\u9001\u4f5c\u5bb6\u304c\u6559\u3048\u308b\u52d5\u753b\u8b1b\u5ea7\uff01\u300e\uff24\uff2f\uff27\uff21\u300f<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;\u73fe\u5f79\u653e\u9001\u4f5c\u5bb6\u304c\u6559\u3048\u308b\u52d5\u753b\u8b1b\u5ea7\uff01\u300e\uff24\uff2f\uff27\uff21\u300f&#8221; &#8212; \u3010\u30c6\u30c3\u30af\u30b8\u30e0\u3011\u683c\u5b89\u30fb\u5bfe\u9762\u578b\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30b9\u30af\u30fc\u30eb\" src=\"https:\/\/techgym.jp\/event\/video_director\/embed\/#?secret=L3ya3wbb07#?secret=oafhePxeaE\" data-secret=\"oafhePxeaE\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p>\uff1c\u30aa\u30f3\u30e9\u30a4\u30f3\u7121\u6599\uff1e\u30bc\u30ed\u304b\u3089\u59cb\u3081\u308bPython\u7206\u901f\u8b1b\u5ea7<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"K4TD28BnVA\"><a href=\"https:\/\/techgym.jp\/tokyo_python\/\">\u30bc\u30ed\u304b\u3089\u59cb\u3081\u308bPython\u7206\u901f\u8b1b\u5ea7\uff08\u7406\u7cfb\u30fb\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u521d\u5fc3\u8005\u5411\u3051\uff09<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; 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