{"id":5553,"date":"2025-07-04T14:00:21","date_gmt":"2025-07-04T05:00:21","guid":{"rendered":"https:\/\/www.wetch.co.jp\/note\/?p=5553"},"modified":"2025-07-04T14:05:16","modified_gmt":"2025-07-04T05:05:16","slug":"%e3%83%a9%e3%83%99%e3%83%ab%e7%94%bb%e5%83%8f%e3%81%ae%e3%83%88%e3%83%aa%e3%83%9f%e3%83%b3%e3%82%b0%ef%bc%88%ef%bc%96%ef%bc%89","status":"publish","type":"post","link":"https:\/\/www.wetch.co.jp\/note\/%e3%83%a9%e3%83%99%e3%83%ab%e7%94%bb%e5%83%8f%e3%81%ae%e3%83%88%e3%83%aa%e3%83%9f%e3%83%b3%e3%82%b0%ef%bc%88%ef%bc%96%ef%bc%89\/","title":{"rendered":"\u30e9\u30d9\u30eb\u753b\u50cf\u306e\u30c8\u30ea\u30df\u30f3\u30b0\uff08\uff16\uff09"},"content":{"rendered":"\n

\u300c\u30e9\u30d9\u30eb\u753b\u50cf\u306e\u30c8\u30ea\u30df\u30f3\u30b0\uff08\uff15\uff09<\/a>\u300d\u3067\u306f\u5b66\u7fd2\u7387\u3092\u8abf\u6574\u3059\u308b\u3053\u3068\u3067val_loss\u30920.025\u8fba\u308a\u307e\u3067\u4e0b\u3052\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f\u304c\u3001\u305d\u308c\u4ee5\u4e0a\u306e\u7cbe\u5ea6\u5411\u4e0a\u304c\u96e3\u3057\u3044\u72b6\u6cc1\u306b\u306a\u3063\u3066\u3044\u307e\u3057\u305f\u3002<\/p>\n\n\n\n

\u5b9f\u306f\u4ee5\u524d\u3088\u308a\u3001Gemini\u5148\u751f\u306b\u306f\u7cbe\u5ea6\u5411\u4e0a\u306e\u305f\u3081\u306e\u6700\u512a\u5148\u8ab2\u984c\u3068\u3057\u3066\u300c\u30c7\u30fc\u30bf\u62e1\u5f35\u300d\u306e\u5c0e\u5165\u3092\u300c\u5f37\u304f\u63a8\u5968\u300d\u3055\u308c\u3066\u3044\u307e\u3057\u305f\u3002
\u30c7\u30fc\u30bf\u62e1\u5f35\u3068\u306f\u300c\u65e2\u5b58\u306e\u5b66\u7fd2\u7528\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u4eba\u5de5\u7684\u306a\u30d0\u30ea\u30a8\u30fc\u30b7\u30e7\u30f3\u3092\u52a0\u3048\u308b\u3053\u3068\u3067\u3001\u30e2\u30c7\u30eb\u306e\u6c4e\u5316\u80fd\u529b\u3092\u5411\u4e0a\u3055\u305b\u308b\u624b\u6cd5\u300d\u3068\u306e\u3053\u3068\u3067\u3001\u8981\u306f\u624b\u6301\u3061\u306e\u753b\u50cf\u304a\u3088\u3073\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u7d50\u679c\u306b\u69d8\u3005\u306a\u5909\u63db\uff08\u62e1\u5927\u7e2e\u5c0f\u30fb\u56de\u8ee2\u30fb\u53cd\u8ee2\u30fb\u8272\u8abf\u5909\u63db\u306a\u3069\uff09\u3092\u884c\u3046\u3053\u3068\u3067\u30c7\u30fc\u30bf\u6570\u3092\u6c34\u5897\u3057\u3057\u3088\u3046\u3068\u3059\u308b\u3082\u306e\u3067\u3059\u3002<\/p>\n\n\n\n

\u65b9\u5411\u6027\u3068\u3057\u3066\u306f\u7406\u89e3\u3067\u304d\u308b\u3082\u306e\u306e\u3001\u305d\u308c\u306f\u305d\u308c\u3067\u9762\u5012\u306a\u4f5c\u696d\u306a\u306e\u3060\u308d\u3046\u3068\u907f\u3051\u3066\u304d\u305f\u306e\u3067\u3059\u304c\u3001\u4ed6\u306b\u9069\u5f53\u306a\u7b56\u3082\u7121\u304f\u306a\u3063\u3066\u304d\u305f\u306e\u3067\u3001\u3044\u3088\u3044\u3088\u5e74\u8ca2\u306e\u7d0d\u3081\u6642\u3068\u8a00\u3046\u3053\u3068\u3067\u3001\u4eca\u56de\u306f\u30c7\u30fc\u30bf\u62e1\u5f35\u306b\u30c1\u30e3\u30ec\u30f3\u30b8\u3067\u3059\u3002

\u306a\u304a\u3001\u753b\u50cf\u3068\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u7d50\u679c\u306e1\u7d44\u306e\u30c7\u30fc\u30bf\u306b\u95a2\u3057\u3066\u3057\u3070\u3057\u3070\u8a00\u53ca\u3059\u308b\u3053\u3068\u306b\u306a\u308a\u307e\u3059\u306e\u3067\u3001\u4eca\u5f8c\u3082\u542b\u3081\u3066\u3053\u306e1\u7d44\u306e\u30bb\u30c3\u30c8\u3092\u300c\u753b\u50cf\u30de\u30b9\u30af\u30da\u30a2\u300d\u3068\u8868\u73fe\u3057\u307e\u3059\uff08Gemini\u5148\u751f\u306b\u3088\u308c\u3070\u3001\u82f1\u8a9e\u570f\u3067\u3082\u300cimage-mask pair\u300d\u3068\u8868\u73fe\u3055\u308c\u3066\u3044\u308b\u3088\u3046\u306a\u306e\u3067\uff09\u3002<\/p>\n\n\n\n

\u30c7\u30fc\u30bf\u62e1\u5f35<\/h2>\n\n\n\n

\u307e\u305a\u3001\u6c34\u5897\u3057\u4f5c\u696d\u3092\u624b\u52d5\u3067\u884c\u3046\u306e\u306f\u304b\u306a\u308a\u9762\u5012\u306a\u306e\u3067\u3001\u4f55\u304b\u826f\u3044\u65b9\u6cd5\u306f\u306a\u3044\u3082\u306e\u304b\u3068Gemini\u5148\u751f\u306b\u76f8\u8ac7\u3057\u305f\u3068\u3053\u308d\u3001\u306a\u3093\u3068\u30d7\u30ed\u30b0\u30e9\u30e0\u7684\u306b\u3067\u304d\u3061\u3083\u3046\u307f\u305f\u3044\u3067\u3059\u3002
\u3057\u304b\u3082\u3001\u304b\u306a\u308a\u7c21\u5358\u306b\u3002
\u5fc3\u914d\u3057\u3066\u640d\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n

\u5177\u4f53\u7684\u306b\u306f\u300cimgaug\u300d\u306a\u308b\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u7528\u3059\u308b\u3089\u3057\u3044\u3067\u3059\u3002
\u300cimg\u300d\u3092\u300caug(ment)\u300d\u3064\u307e\u308a\u5897\u3084\u3059\u3068\u8a00\u3046\u3053\u3068\u3067\u3059\u306d\u3002<\/p>\n\n\n\n

\u65e9\u901f\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u307f\u307e\u3059\u3002<\/p>\n\n\n\n

# pip install imgaug<\/code><\/pre>\n\n\n\n
\u4e0a\u8a18\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u3063\u3066\u3001\u4ee5\u524d\u4f5c\u6210\u3057\u305f\u5b66\u7fd2\u7528\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u751f\u6210\u51e6\u7406\u300ccreate_dataset\u300d\u306b\u30c7\u30fc\u30bf\u62e1\u5f35\u306e\u6a5f\u80fd\u3092\u5b9f\u88c5\u3057\u3066\u307f\u307e\u3059\u3002
\u5f53\u7136\u306e\u5982\u304f\u3001\u5b9f\u88c5\u306fGemini\u5148\u751f\u4efb\u305b\u3067\u3059\u3002<\/p>\n\n\n\n
\u7d50\u679c\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3002<\/p>\n\n\n\n
import numpy as np\nimport os\nimport cv2\nimport imgaug as ia\nfrom imgaug import augmenters as iaa\nfrom imgaug.augmentables.segmaps import SegmentationMapsOnImage\n\ndef create_dataset(image_dir, json_dir, output_dir, original_image_size, target_image_size,\n                   num_augmentations_per_image=5):\n    output_images_dir = os.path.join(output_dir, 'images')\n    output_masks_dir = os.path.join(output_dir, 'masks')\n    os.makedirs(output_images_dir, exist_ok=True)\n    os.makedirs(output_masks_dir, exist_ok=True)\n\n    seq = iaa.Sequential([\n        iaa.Fliplr(0.5),\n        iaa.Flipud(0.2),\n        iaa.Affine(\n            scale={\"x\": (0.8, 1.2), \"y\": (0.8, 1.2)},\n            translate_percent={\"x\": (-0.1, 0.1), \"y\": (-0.1, 0.1)},\n            rotate=(-15, 15),\n            shear=(-8, 8),\n            cval=(0, 255),\n            mode=ia.ALL\n        ),\n        iaa.Sometimes(0.5,\n            iaa.GaussianBlur(sigma=(0, 1.0))\n        ),\n        iaa.LinearContrast((0.75, 1.5)),\n        iaa.AdditiveGaussianNoise(loc=0, scale=(0.0, 0.05*255), per_channel=0.5),\n        iaa.Multiply((0.8, 1.2), per_channel=0.2),\n    ], random_order=True)\n\n    image_files = os.listdir(image_dir)\n    for image_file in image_files:\n        if image_file.lower().endswith(('.jpg', '.jpeg', '.png')):\n            base_name = os.path.splitext(image_file)[0]\n            image_path = os.path.join(image_dir, image_file)\n            json_file_name = base_name + '.json'\n            json_path = os.path.join(json_dir, json_file_name)\n\n            if os.path.exists(json_path):\n                image = cv2.imread(image_path)\n                image_resized = cv2.resize(image, target_image_size)\n\n                mask = create_mask_from_json(json_path, original_image_size, target_image_size)\n                mask_expanded = np.expand_dims(mask, axis=-1)\n\n                cv2.imwrite(os.path.join(output_images_dir, f\"{base_name}_aug000.png\"), image_resized)\n                cv2.imwrite(os.path.join(output_masks_dir, f\"{base_name}_aug000.png\"), mask_expanded)\n\n                for i in range(num_augmentations_per_image):\n                    seq_det = seq.to_deterministic()\n\n                    image_aug = seq_det.augment_image(image_resized)\n\n                    segmap = SegmentationMapsOnImage(mask_expanded, shape=mask_expanded.shape)\n                    segmap_aug = seq_det.augment_segmentation_maps([segmap])[0]\n                    mask_aug = segmap_aug.get_arr()\n                    if mask_aug.ndim == 2:\n                        mask_aug = np.expand_dims(mask_aug, axis=-1)\n                    mask_aug_255 = mask_aug.astype(np.uint8)\n\n                    cv2.imwrite(os.path.join(output_images_dir, f\"{base_name}_aug{i+1:03d}.png\"),\n                                image_aug)\n                    cv2.imwrite(os.path.join(output_masks_dir, f\"{base_name}_aug{i+1:03d}.png\"),\n                                mask_aug_255)<\/code><\/pre>\n\n\n\n
\u95a2\u4fc2\u7b87\u6240\u3092\u500b\u5225\u306b\u898b\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n
\u5909\u63db\u5185\u5bb9\u306e\u5b9a\u7fa9<\/h3>\n\n\n\n
\u4ee5\u4e0b\u306e\u7b87\u6240\u3067\u5909\u63db\u5185\u5bb9\u306e\u5b9a\u7fa9\uff08\u8a2d\u5b9a\uff09\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
    seq = iaa.Sequential([\n        iaa.Fliplr(0.5),\n        iaa.Flipud(0.2),\n        iaa.Affine(\n            scale={\"x\": (0.8, 1.2), \"y\": (0.8, 1.2)},\n            translate_percent={\"x\": (-0.1, 0.1), \"y\": (-0.1, 0.1)},\n            rotate=(-15, 15),\n            shear=(-8, 8),\n            cval=(0, 255),\n            mode=ia.ALL\n        ),\n        iaa.Sometimes(0.5,\n            iaa.GaussianBlur(sigma=(0, 1.0))\n        ),\n        iaa.LinearContrast((0.75, 1.5)),\n        iaa.AdditiveGaussianNoise(loc=0, scale=(0.0, 0.05*255), per_channel=0.5),\n        iaa.Multiply((0.8, 1.2), per_channel=0.2),\n    ], random_order=True)<\/code><\/pre>\n\n\n\n
\u307e\u305a\u3001\u5168\u4f53\u7684\u306b\u306f\u4ee5\u4e0b\u306e\u69cb\u9020\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
iaa.Sequential([...], random_order=True)<\/code><\/pre>\n\n\n\n
\u7b2c\u4e00\u5f15\u6570\u306e\u914d\u5217\u306b\u306f\u5177\u4f53\u7684\u306a\u5909\u63db\u51e6\u7406\u3092\u7f85\u5217\u3057\u3066\u3044\u307e\u3059\u3002
\u3053\u3053\u3067\u6307\u5b9a\u3055\u308c\u305f\u5909\u63db\u51e6\u7406\u306f\u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u5b9f\u884c\u3055\u308c\u308b\u3088\u3046\u3067\u3059\u304c\u3001\u7b2c\u4e8c\u5f15\u6570\u306e\u300crandom_order=True\u300d\u6307\u5b9a\u306b\u3088\u308a\u3001\u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u306b\u304a\u3051\u308b\u5909\u63db\u51e6\u7406\u306e\u5b9f\u884c\u9806\u5e8f\u304c\u30e9\u30f3\u30c0\u30e0\u306b\u306a\u308b\u3088\u3046\u3067\u3059\u3002<\/p>\n\n\n\n
\u3064\u307e\u308a\u3001\u30c7\u30fc\u30bf\u62e1\u5f35\u306b\u304a\u3051\u308b\u5909\u63db\u306f\u8907\u6570\u306e\u5909\u63db\u306e\u7d44\u307f\u5408\u308f\u305b\u3067\u884c\u308f\u308c\u3001\u304b\u3064\u500b\u5225\u306e\u5909\u63db\u306e\u5b9f\u884c\u9806\u5e8f\u3082\u5909\u5316\u3059\u308b\u305f\u3081\u3001\u751f\u6210\u3055\u308c\u308b\u30c7\u30fc\u30bf\u306e\u591a\u69d8\u6027\u304c\u5411\u4e0a\u3059\u308b\u3068\u8a00\u3046\u3053\u3068\u306e\u3088\u3046\u3067\u3059\u3002<\/p>\n\n\n\n
\u3067\u306f\u3001\u5909\u63db\u51e6\u7406\u3092\u500b\u5225\u306b\u898b\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
iaa.Fliplr(0.5)<\/code><\/pre>\n\n\n\n
\u753b\u50cf\u3092\u5de6\u53f3\u306b\u53cd\u8ee2\u3057\u307e\u3059\u3002
\u5f15\u6570\u306f\u5b9f\u884c\u3059\u308b\u78ba\u7387\u3067\u30010.5\u306f50\uff05\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
iaa.Flipud(0.2)<\/code><\/pre>\n\n\n\n
\u753b\u50cf\u3092\u4e0a\u4e0b\u306b\u53cd\u8ee2\u3057\u307e\u3059\u3002
\u5f15\u6570\u306f\u5b9f\u884c\u3059\u308b\u78ba\u7387\u3067\u30010.2\u306f20\uff05\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
iaa.Affine(\n    scale={\"x\": (0.8, 1.2), \"y\": (0.8, 1.2)},\n    translate_percent={\"x\": (-0.1, 0.1), \"y\": (-0.1, 0.1)},\n    rotate=(-15, 15),\n    shear=(-8, 8),\n    cval=(0, 255),\n    mode=ia.ALL\n)<\/code><\/pre>\n\n\n\n
\u753b\u50cf\u3092\u30a2\u30d5\u30a3\u30f3\u5909\u63db\u3057\u307e\u3059\u3002
\u300cscale={“x”: (0.8, 1.2), “y”: (0.8, 1.2)}\u300d\u306f\u62e1\u5927\u7e2e\u5c0f\u3067\u3001\u300c(0.8, 1.2)\u300d\u306f\u5143\u306e\u30b5\u30a4\u30ba\u306e80%\u304b\u3089120%\u306e\u9593\u3067\u30e9\u30f3\u30c0\u30e0\u306b\u62e1\u5927\u7e2e\u5c0f\u3059\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002
\u300ctranslate_percent={“x”: (-0.1, 0.1), “y”: (-0.1, 0.1)}\u300d\u306f\u5e73\u884c\u79fb\u52d5\u3067\u3001\u300c(-0.1, 0.1)\u300d\u306f\u753b\u50cf\u306e\u5e45\uff08\u307e\u305f\u306f\u9ad8\u3055\uff09\u306e-10%\u304b\u3089+10%\u306e\u9593\u3067\u30e9\u30f3\u30c0\u30e0\u306b\u79fb\u52d5\u3059\u308b\u3053\u3068\u610f\u5473\u3057\u307e\u3059\u3002
\u300crotate=(-15, 15)\u300d\u306f\u56de\u8ee2\u3067\u3001\u300c(-15, 15)\u300d\u306f-15\u5ea6\u304b\u3089+15\u5ea6\u306e\u9593\u3067\u30e9\u30f3\u30c0\u30e0\u306b\u56de\u8ee2\u3059\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002
\u300cshear=(-8, 8)\u300d\u306f\u30b7\u30a2\u30fc\uff08\u305b\u3093\u65ad\uff09\u5909\u63db\u3067\u3001\u5927\u96d1\u628a\u306b\u8a00\u3048\u3070\u9577\u65b9\u5f62\u306e\u5143\u753b\u50cf\u3092\u5e73\u884c\u56db\u8fba\u5f62\u306b\u5909\u63db\u3057\u307e\u3059\u3002\u300c(-8, 8)\u300d\u306f\u50be\u3051\u308b\u89d2\u5ea6\u3092-8\u5ea6\u304b\u3089+8\u5ea6\u306e\u9593\u3067\u30e9\u30f3\u30c0\u30e0\u306b\u9078\u629e\u3059\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002
\u300ccval=(0, 255)\u300d\u306f\u5909\u63db\u306b\u3088\u3063\u3066\u751f\u3058\u308b\u753b\u50cf\u306e\u7bc4\u56f2\u5916\u306e\u90e8\u5206\u3092\u57cb\u3081\u308b\u300c\u8272\u300d\u306e\u6307\u5b9a\u3067\u3001\u300c(0, 255)\u300d\u306f0\uff08\u9ed2\uff09\u304b\u3089255\uff08\u767d\uff09\u306e\u9593\u306e\u30e9\u30f3\u30c0\u30e0\u306a\u5024\u3067\u57cb\u3081\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002
\u300cmode=ia.ALL\u300d\u306f\u753b\u50cf\u306e\u7bc4\u56f2\u5916\u306e\u90e8\u5206\u3092\u57cb\u3081\u308b\u300c\u65b9\u6cd5\u300d\u306e\u6307\u5b9a\u3067\u3001\u300cia.ALL\u300d\u306fmode\u3068\u3057\u3066\u9078\u629e\u3067\u304d\u308b\u300cconstant\u300d\u300cedge\u300d\u300csymmetric\u300d\u300creflect\u300d\u300cwrap\u300d\u3092\u30e9\u30f3\u30c0\u30e0\u3067\u9069\u7528\u3059\u308b\u3053\u3068\u3092\u610f\u5473\u3059\u308b\u3088\u3046\u3067\u3059\u3002\u306a\u304a\u3001\u300cconstant\u300d\u306f\u7279\u5b9a\u306e\u8272\u3067\u57cb\u3081\u308b\u3053\u3068\u3092\u610f\u5473\u3059\u308b\u3088\u3046\u3067\u3001mode\u304c\u300cconstant\u300d\u306e\u5834\u5408\u306e\u307f\u524d\u8ff0\u306ecval\u3067\u6307\u5b9a\u3055\u308c\u305f\u8272\u304c\u9069\u7528\u3055\u308c\u308b\u3088\u3046\u3067\u3059\uff08\u305d\u306e\u4ed6\u306e\u30e2\u30fc\u30c9\u306b\u95a2\u3057\u3066\u306f\u8a71\u304c\u9577\u304f\u306a\u308a\u305d\u3046\u306a\u306e\u3067\u8ffd\u6c42\u305b\u305a\uff09\u3002<\/p>\n\n\n\n
iaa.Sometimes(0.5,\n    iaa.GaussianBlur(sigma=(0, 1.0))\n)<\/code><\/pre>\n\n\n\n
\u307e\u305a\u3001Sometimes\u306f\u7b2c\u4e00\u5f15\u6570\u3067\u6307\u5b9a\u3055\u308c\u305f\u78ba\u7387\u3067\u7b2c\u4e8c\u5f15\u6570\u3067\u6307\u5b9a\u3055\u308c\u305f\u5909\u63db\u3092\u5b9f\u884c\u3059\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002
\u5909\u63db\u3068\u3057\u3066\u6307\u5b9a\u3055\u308c\u3066\u3044\u308b\u300c iaa.GaussianBlur(sigma=(0, 1.0))\u300d\u306f\u300c\u30ac\u30a6\u30b9\u307c\u304b\u3057\u300d\u3067\u3001\u300csigma=(0, 1.0)\u300d\u306f\u307c\u304b\u3057\u306e\u5f37\u3055\u3092\u793a\u3059\u30b7\u30b0\u30de\u5024\u304c0\uff08\u307c\u304b\u3057\u306a\u3057\uff09\u304b\u30891.0\u306e\u9593\u3067\u30e9\u30f3\u30c0\u30e0\u306b\u9078\u629e\u3055\u308c\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002
\u307e\u3068\u3081\u308b\u3068\u30010.5\uff0850%\uff09\u306e\u78ba\u7387\u3067\u3001\u30b7\u30b0\u30de\u5024\u304c0\u304b\u30891.0\u306e\u9593\u306e\u30e9\u30f3\u30c0\u30e0\u306a\u5024\u3067\u306e\u30ac\u30a6\u30b9\u307c\u304b\u3057\u3092\u5b9f\u884c\u3059\u308b\u3068\u8a00\u3046\u3053\u3068\u3067\u3059\u3002<\/p>\n\n\n\n
iaa.LinearContrast((0.75, 1.5))<\/code><\/pre>\n\n\n\n
\u753b\u50cf\u306e\u30b3\u30f3\u30c8\u30e9\u30b9\u30c8\u3092\u8abf\u6574\u3057\u307e\u3059\u3002
\u300c(0.75, 1.5)\u300d\u306f\u5143\u306e\u30b3\u30f3\u30c8\u30e9\u30b9\u30c8\u306e75%\u304b\u3089150%\u306e\u9593\u3067\u30e9\u30f3\u30c0\u30e0\u306b\u8abf\u6574\u3055\u308c\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
iaa.AdditiveGaussianNoise(loc=0, scale=(0.0, 0.05*255), per_channel=0.5)<\/code><\/pre>\n\n\n\n
\u753b\u50cf\u306b\u30ac\u30a6\u30b9\u30ce\u30a4\u30ba\u3092\u8ffd\u52a0\u3057\u307e\u3059\u3002
\u5f15\u6570\u306b\u95a2\u3057\u3066\u306f\u2026\u4f55\u304b\u96e3\u3057\u3044\u8a71\u306e\u3088\u3046\u306a\u306e\u3067\u8aac\u660e\u306f\u5272\u611b\u3002<\/p>\n\n\n\n
iaa.Multiply((0.8, 1.2), per_channel=0.2)<\/code><\/pre>\n\n\n\n
\u753b\u50cf\u306e\u8f1d\u5ea6\u3092\u8abf\u6574\u3057\u307e\u3059\u3002
\u300c(0.8, 1.2)\u300d\u306f\u5404\u30d4\u30af\u30bb\u30eb\u5024\u3092\u5143\u306e\u5024\u306e80%\u304b\u3089120%\u306e\u9593\u3067\u30e9\u30f3\u30c0\u30e0\u306b\u4e57\u7b97\u3059\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u753b\u50cf\u304c\u6697\u304f\u306a\u3063\u305f\u308a\u660e\u308b\u304f\u306a\u3063\u305f\u308a\u3057\u307e\u3059\u3002
\u300cper_channel=0.2\u300d\u306f20%\u306e\u78ba\u7387\u3067\u3001\u5404\u30c1\u30e3\u30cd\u30eb\uff08R, G, B\uff09\u306b\u72ec\u7acb\u3057\u305f\u4e57\u6570\u3092\u9069\u7528\u3059\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002\u6b8b\u308a\u306e80%\u3067\u306f\u3001\u3059\u3079\u3066\u306e\u30c1\u30e3\u30cd\u30eb\u306b\u540c\u3058\u4e57\u6570\u304c\u9069\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n\n\n\n
\u5909\u63db\u306e\u5b9f\u884c<\/h3>\n\n\n\n
\u524d\u8ff0\u3057\u305f\u3088\u3046\u306b\u3001\u5909\u63db\u5185\u5bb9\u306b\u95a2\u3057\u3066\u306f\u76f8\u5f53\u6570\u306e\u30e9\u30f3\u30c0\u30e0\u8981\u7d20\u304c\u3042\u308a\u307e\u3059\u3002
\u3057\u304b\u3057\u3001\u3053\u3053\u3067\u6ce8\u610f\u304c\u5fc5\u8981\u306a\u306e\u306f\u3001\u753b\u50cf\u30de\u30b9\u30af\u30da\u30a2\u3092\u69cb\u6210\u3059\u308b\u753b\u50cf\u3068\u30de\u30b9\u30af\uff08\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u7d50\u679c\uff09\u306b\u5bfe\u3057\u3066\u306f\u5168\u304f\u540c\u3058\u5909\u63db\u3092\u884c\u3046\u5fc5\u8981\u304c\u3042\u308b\u3068\u8a00\u3046\u70b9\u3067\u3059\u3002
\u3082\u3057\u3001\u753b\u50cf\u3068\u30de\u30b9\u30af\u306b\u9055\u3046\u5909\u63db\u3092\u884c\u3063\u3066\u3057\u307e\u3046\u3068\u3001\u30de\u30b9\u30af\u304c\u753b\u50cf\u4e0a\u306e\u30e9\u30d9\u30eb\u306e\u4f4d\u7f6e\u3092\u6b63\u3057\u304f\u8868\u73fe\u3067\u304d\u3066\u3044\u306a\u3044\u72b6\u614b\u306b\u306a\u3063\u3066\u3057\u307e\u3044\u307e\u3059\u3002
\u86c7\u8db3\u306a\u304c\u3089\u30011\u3064\u306e\u753b\u50cf\u30de\u30b9\u30af\u30da\u30a2\u306b\u5bfe\u3057\u3066\u7570\u306a\u308b\u5909\u63db\u3092\u884c\u3044\u3001\u8907\u6570\u306e\u5909\u63db\u7d50\u679c\u3092\u751f\u6210\u3059\u308b\u3053\u3068\u306f\u554f\u984c\u3042\u308a\u307e\u305b\u3093\u3002
\u5f53\u7136\u306a\u304c\u3089\u3001\u7570\u306a\u308b\u753b\u50cf\u30de\u30b9\u30af\u30da\u30a2\u306b\u5bfe\u3057\u3066\u7570\u306a\u308b\u5909\u63db\u3092\u884c\u3046\u3053\u3068\u3082\u554f\u984c\u3042\u308a\u307e\u305b\u3093\u3002<\/p>\n\n\n\n
\u3068\u8a00\u3046\u3053\u3068\u3067\u3001\u4ee5\u4e0b\u306e\u51e6\u7406\u3092\u5b9f\u884c\u3059\u308b\u3053\u3068\u3067\u3001\u30e9\u30f3\u30c0\u30e0\u8981\u7d20\u304c\u6c7a\u5b9a\uff08\u56fa\u5b9a\uff09\u3055\u308c\u305f\u3001\u65b0\u305f\u306a\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u300cseq_det\u300d\u3092\u751f\u6210\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
seq_det = seq.to_deterministic()<\/code><\/pre>\n\n\n\n
\u4e0a\u8a18seq_det\u3092\u753b\u50cf\u30de\u30b9\u30af\u30da\u30a2\u3092\u69cb\u6210\u3059\u308b\u753b\u50cf\u3068\u30de\u30b9\u30af\u306e\u4e21\u65b9\u306b\u5bfe\u3057\u3066\u5171\u901a\u7684\u306b\u5229\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u4e21\u8005\u306b\u5dee\u7570\u306a\u304f\u5909\u63db\u304c\u9069\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
image_aug = seq_det.augment_image(image_resized)<\/code><\/pre>\n\n\n\n
\u5148\u306b\u30e9\u30f3\u30c0\u30e0\u8981\u7d20\u3092\u56fa\u5b9a\u5316\u3057\u305f\u5909\u63db\u3092\u753b\u50cf\u306b\u5bfe\u3057\u3066\u5b9f\u884c\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
segmap = SegmentationMapsOnImage(mask_expanded, shape=mask_expanded.shape)<\/code><\/pre>\n\n\n\n
mask_expand\u306f\uff08\u82e5\u5e72\u306e\u8ffd\u52a0\u52a0\u5de5\u3092\u3057\u3066\u3044\u307e\u3059\u304c\uff09\u5927\u96d1\u628a\u306b\u8a00\u3048\u3070\u3001LabelMe\u306e\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u7d50\u679c\uff08\u5bfe\u8c61\u7bc4\u56f2\u3092\u793a\u3059\u30dd\u30ea\u30b4\u30f3\u3092\u69cb\u6210\u3059\u308b\u5404\u30dd\u30a4\u30f3\u30c8\u306e\u5ea7\u6a19\u60c5\u5831\uff09\u304b\u3089\u3001\u5bfe\u8c61\u90e8\u5206\u306e\u30d4\u30af\u30bb\u30eb\u306e\u5024\u306f255\u3001\u5bfe\u8c61\u5916\u306e\u90e8\u5206\u306f0\u3068\u306a\u308b\u753b\u50cf\u76f8\u5f53\u306e\u30c7\u30fc\u30bf\uff08\u578b\u306fNumPy\u914d\u5217\uff09\u3067\u3059\u3002
\u305d\u308c\u3092\u3001imgaug\u304c\u51e6\u7406\u306b\u4f7f\u7528\u3067\u304d\u308b\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306b\u5909\u63db\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
segmap_aug = seq_det.augment_segmentation_maps([segmap])[0]<\/code><\/pre>\n\n\n\n
\u5148\u306b\u751f\u6210\u3057\u305f\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306b\u5bfe\u3057\u3066\u5909\u63db\u3092\u5b9f\u884c\u3057\u3066\u3044\u307e\u3059\u3002
\u753b\u50cf\u306e\u5909\u63db\u7d50\u679c\u3068\u5dee\u7570\u304c\u751f\u3058\u306a\u3044\u3088\u3046\u306b\u3001\u540c\u3058seq_det\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u70b9\u304c\u91cd\u8981\u3067\u3059\u3002
\u753b\u50cf\u672c\u4f53\u3068\u306f\u7570\u306a\u308a\u3001\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u7d50\u679c\uff08\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30de\u30c3\u30d7\uff09\u306b\u5bfe\u3057\u3066\u306f\u5c02\u7528\u306e\u30e1\u30bd\u30c3\u30c9\u300caugment_segmentation_maps\u300d\u3092\u4f7f\u7528\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u3088\u3046\u3067\u3059\u3002
augment_segmentation_maps\u306f\u30ea\u30b9\u30c8\u5f62\u5f0f\u3067\u8907\u6570\u306e\u5bfe\u8c61\u3092\u5165\u529b\u3057\u3001\u305d\u308c\u305e\u308c\u306b\u95a2\u3059\u308b\u51e6\u7406\u7d50\u679c\u3092\u540c\u3058\u304f\u30ea\u30b9\u30c8\u5f62\u5f0f\u3067\u8fd4\u3057\u307e\u3059\u304c\u3001\u4eca\u56de\u306f\u3042\u304f\u307e\u30671\u3064\u306e\u5bfe\u8c61\u306b\u95a2\u3059\u308b\u51e6\u7406\u3092\u884c\u3044\u305f\u3044\u3060\u3051\u306a\u306e\u3067\u3001\u4e0a\u8a18\u306e\u3088\u3046\u306b\u5165\u529b\u30ea\u30b9\u30c8\u306b\u306f\u5f53\u8a72\u5bfe\u8c61\u306e\u307f\u3092\u6307\u5b9a\u3057\u3001\u623b\u308a\u5024\u306e\u30ea\u30b9\u30c8\u306b\u304a\u3051\u308b\u5148\u982d\uff08\u8981\u7d20\u304c1\u3064\u3057\u304b\u306a\u3044\u306e\u3067\uff09\u306e\u5024\uff08\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\uff09\u3092segmap_aug\u3068\u3057\u3066\u53d6\u5f97\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
mask_aug = segmap_aug.get_arr()<\/code><\/pre>\n\n\n\n
\u5148\u306b\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u7d50\u679c\uff08NumPy\u914d\u5217\uff09\u3092imgaug\u304c\u4f7f\u7528\u3057\u3084\u3059\u3044\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\uff08segmap\uff09\u306b\u5909\u63db\u3057\u307e\u3057\u305f\u304c\u3001\u4eca\u5ea6\u306f\u51e6\u7406\u7d50\u679c\u3067\u3042\u308bsegmap_aug\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092NumPy\u914d\u5217\u306b\u623b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
for i in range(num_augmentations_per_image):<\/code><\/pre>\n\n\n\n
\u4eca\u307e\u3067\u89e3\u8aac\u3057\u3066\u304d\u305f\u5909\u63db\u306f\u4e0a\u8a18for\u6587\u306e\u4e2d\u3067\u5b9f\u884c\u3055\u308c\u3066\u3044\u307e\u3059\u3002
\u3064\u307e\u308a\u30011\u7d44\u306e\u753b\u50cf\u30de\u30b9\u30af\u30da\u30a2\u304b\u3089\u3001num_augmentations_per_image\u3067\u6307\u5b9a\u3057\u305f\u6570\u3060\u3051\u5909\u63db\u304c\u9069\u7528\u3055\u308c\u305f\u5225\u306e\u753b\u50cf\u30de\u30b9\u30af\u30da\u30a2\u304c\u751f\u6210\u3055\u308c\u307e\u3059\u3002
\u306a\u304afor\u6587\u5185\u3067\u300cseq.to_deterministic()\u300d\u3092\u5b9f\u884c\u3057\u3066\u3044\u308b\u306e\u3067\u3001\u540c\u3058\u753b\u50cf\u30de\u30b9\u30af\u30da\u30a2\u304b\u3089\u751f\u6210\u3055\u308c\u305f\u753b\u50cf\u30de\u30b9\u30af\u30da\u30a2\u3067\u3082\u3001\u751f\u6210\u3054\u3068\u306b\u5185\u5bb9\u306f\u7570\u306a\u3063\u3066\u3044\u307e\u3059\u3002
\u3053\u308c\u306b\u3088\u308a\u7570\u306a\u308b\u7279\u5fb4\u3092\u6301\u3064\u753b\u50cf\u30de\u30b9\u30af\u30da\u30a2\u3092\u5927\u91cf\u306b\u6c34\u5897\u3057\u3067\u304d\u308b\u3068\u8a00\u3046\u8a33\u3067\u3059\u3002<\/p>\n\n\n\n
\u30c7\u30fc\u30bf\u62e1\u5f35\u7d50\u679c<\/h3>\n\n\n\n
\u4eca\u56de\u306fnum_augmentations_per_image\u30925\u3068\u3057\u3001\u5143\u3068\u306a\u308b\u753b\u50cf\u30de\u30b9\u30af\u30da\u30a2\u304b\u3089\u8ffd\u52a0\u30675\u7d44\u306e\u753b\u50cf\u30de\u30b9\u30af\u30da\u30a2\u3092\u751f\u6210\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n
\u4ee5\u4e0b\u306b\u4f8b\u3092\u793a\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
\u4e00\u756a\u5de6\u304c\u5143\u753b\u50cf\u30de\u30b9\u30af\u30da\u30a2\u3067\u4ee5\u964d\u304c\u30c7\u30fc\u30bf\u62e1\u5f35\u7d50\u679c\u3067\u3059\u3002
\u78ba\u304b\u306b\u524d\u8ff0\u3057\u305f\u3088\u3046\u306a\u5909\u63db\u304c\u8907\u5408\u7684\u306b\u9069\u7528\u3055\u308c\u3066\u3044\u308b\u3088\u3046\u3067\u3059\u3002<\/p>\n\n\n\n
\u691c\u8a3c<\/h2>\n\n\n\n
\u30c7\u30fc\u30bf\u62e1\u5f35\u306b\u3088\u308a\u5143\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8200\u7d44\u30921200\u7d44\u307e\u3067\u6c34\u5897\u3057\u3057\u307e\u3057\u305f\u3002
\u305d\u308c\u306f\u826f\u304b\u3063\u305f\u306e\u3067\u3059\u304c\u3001\u5f53\u7136\u306a\u304c\u3089\u5b66\u7fd2\u306b\u639b\u304b\u308b\u6642\u9593\u30826\u500d\u306b\u306a\u308a\u307e\u3057\u305f\u3002
\u4eca\u307e\u3067\u306f1epoch\u304c\u7d0430\u79d2\u3067\u3057\u305f\u304c\u3001\u30c7\u30fc\u30bf\u6c34\u5897\u3057\u5f8c\u306f\u7d04180\u79d2\u8981\u3059\u308b\u3088\u3046\u306b\u306a\u3063\u3066\u3044\u307e\u3059\uff08\u8a08\u7b97\u7684\u306b\u306f\u5e33\u5c3b\u304c\u5408\u3063\u3066\u3044\u307e\u3059\uff09\u3002
\u4ee5\u524d\u306e\u3088\u3046\u306b1000epoch\u306a\u3069\u5b9f\u884c\u3057\u3088\u3046\u3068\u601d\u3063\u305f\u3089\u300150\u6642\u9593\u639b\u304b\u3063\u3066\u3057\u307e\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
\u305f\u3060\u3001\u30c7\u30fc\u30bf\u6570\u3092\u5897\u3084\u3057\u305f\u3053\u3068\u3067\u30011epoch\u3067\u306e\u5b66\u7fd2\u52b9\u7387\u304c\u4e0a\u304c\u3063\u3066\u3044\u308b\u3053\u3068\u306f\u671f\u5f85\u3067\u304d\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002<\/p>\n\n\n\n
\u3068\u8a00\u3046\u3053\u3068\u3067\u3001\u307e\u305a\u306f100epoch\u304f\u3089\u3044\u304b\u3089\u8a66\u3057\u3066\u307f\u308b\u3053\u3068\u306b\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
\u691c\u8a3c\uff11\uff1a\u56fa\u5b9a\u5b66\u7fd2\u7387 \/ 100epoch<\/h3>\n\n\n\n
\u524d\u56de\u3068\u540c\u69d8\u306b\u5b66\u7fd2\u7387\u304c6.40E-05, 3.20E-05, 1.60E-05\u306e3\u30d1\u30bf\u30fc\u30f3\u306b\u5bfe\u3057\u3066\u3001\u305d\u308c\u305e\u308c100epoch\u306e\u5b66\u7fd2\u3092\u5b9f\u884c\u3057\u3066\u307f\u307e\u3059\uff08\u3053\u308c\u3067\u30825\u6642\u9593\u639b\u304b\u308a\u307e\u3059\u304c\uff09\u3002<\/p>\n\n\n\n
\u7d50\u679c\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3002
\u5de6\u304closs, \u53f3\u304cval_loss\u306e\u63a8\u79fb\u3067\u3059\uff08\u5de6\u53f3\u3067\u5c3a\u5ea6\u304c\u9055\u3046\u306e\u3067\u8981\u6ce8\u610f\uff09\u3002<\/p>\n\n\n\n
\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n<\/figure>\n\n\n\n
val_loss\u306e\u65b9\u306f\u4f8b\u306b\u3088\u3063\u3066\u5897\u6e1b\u304c\u6fc0\u3057\u3044\u306e\u3067\u5224\u65ad\u304c\u96e3\u3057\u3044\u3067\u3059\u304c\u3001\u4e21\u8005\u3068\u3082\u4f55\u3068\u306a\u304f\u7d99\u7d9a\u3057\u3066\u6e1b\u8870\u50be\u5411\u306b\u3042\u308b\u3088\u3046\u306a\u5370\u8c61\u3067\u3059\u3002<\/p>\n\n\n\n
\u3082\u3046\u5c11\u3057epoch\u3092\u5897\u3084\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n
\u691c\u8a3c\uff12\uff1a\u5b66\u7fd2\u7387\u6e1b\u8870 \/ 300epoch<\/h3>\n\n\n\n
\u5358\u7d14\u306bepoch\u3092\u5897\u3084\u3057\u3066\u5148\u306e3\u30d1\u30bf\u30fc\u30f3\u3092\u5b9f\u884c\u3057\u3088\u3046\u3068\u601d\u3046\u3068\u3001\u691c\u8a3c\u306b\u8981\u3059\u308b\u6642\u9593\u304c\u3069\u3093\u3069\u3093\u5897\u3048\u3066\u3044\u3063\u3066\u3057\u307e\u3046\u306e\u3067\u3001\u5c11\u3057\u5de5\u592b\u3092\u3057\u3066\u307f\u307e\u3057\u305f\u3002
\u5b9f\u306f\u3001\u3053\u308c\u306f\u4ee5\u524d\u3082\u8a66\u3057\u305f\u3053\u3068\u304c\u3042\u308b\u306e\u3067\u3059\u304c\u3001val_loss\u306e\u5024\u304c\u6240\u5b9a\u306eepoch\u306e\u9593\u306b\u6539\u5584\u3057\u306a\u3051\u308c\u3070\u3001\u5b66\u7fd2\u7387\u3092\u4e0b\u3052\u3066\u307f\u308b\u3068\u3044\u3046\u65b9\u6cd5\u3067\u3059\u3002<\/p>\n\n\n\n
\u5177\u4f53\u7684\u306b\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u95a2\u6570\u3092model.fit\u306ecallbacks\u5f15\u6570\u306b\u8ffd\u52a0\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
ReduceLROnPlateau(\n    monitor='val_loss',\n    factor=0.5,\n    patience=50,\n    verbose=1,\n    min_lr=1e-6\n),<\/code><\/pre>\n\n\n\n
\u4e0a\u8a18\u3067\u300cmonitor\u300d\u306f\u76e3\u8996\u5bfe\u8c61\u306e\u6307\u6a19\u3067\u3059\u3002\u3053\u3053\u3067\u306f\u5f53\u7136\u306a\u304c\u3089\u300cval_loss\u300d\u3092\u6307\u5b9a\u3057\u3066\u3044\u307e\u3059\u3002
\u300cfactor\u300d\u306f\u5b66\u7fd2\u7387\u3092\u4e0b\u3052\u308b\u969b\u306e\u4fc2\u6570\u3067\u30010.5\u3067\u3042\u308b\u3053\u3068\u304b\u3089\u3001\u5f93\u6765\u306e\u534a\u5206\u306b\u5b66\u7fd2\u7387\u3092\u6e1b\u3089\u3057\u3066\u3044\u304f\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002
\u300cpatience\u300d\u306f\u300cmonitor\u300d\u3067\u6307\u5b9a\u3057\u305f\u6307\u6a19\u304c\u6539\u5584\u3057\u306a\u3044epoch\u304c\u3069\u306e\u7a0b\u5ea6\u7d9a\u3044\u305f\u3089\u5b66\u7fd2\u7387\u3092\u4e0b\u3052\u308b\u304b\u3092\u6307\u5b9a\u3059\u308b\u3082\u306e\u3067\u3001\u3053\u3053\u3067\u306f50epoch\u306e\u9593val_loss\u306e\u6700\u5c0f\u5024\u304c\u66f4\u65b0\u3055\u308c\u306a\u3051\u308c\u3070\u5b66\u7fd2\u7387\u3092\u4e0b\u3052\u308b\u3088\u3046\u6307\u5b9a\u3057\u3066\u3044\u307e\u3059\u3002
\u300cverbose=1\u300d\u306f\u5b66\u7fd2\u7387\u306e\u5909\u66f4\u304c\u751f\u3058\u305f\u6642\u306b\u753b\u9762\u4e0a\u306b\u60c5\u5831\u8868\u793a\u3059\u308b\u6307\u5b9a\u3067\u3059\u3002\u5177\u4f53\u7684\u306b\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u8868\u793a\u304c\u51fa\u307e\u3059\u3002<\/p>\n\n\n\n
Epoch 265: ReduceLROnPlateau reducing learning rate to 1.5999999959603883e-05.<\/code><\/pre>\n\n\n\n
\u4e0a\u8a18\u306f\u5b66\u7fd2\u7387\u304c1.60E-05\u76f8\u5f53\u306e\u5024\u306b\u5909\u52d5\u3057\u305f\u969b\u306e\u8868\u793a\u3067\u3059\u3002\u6570\u5024\u304c\u5fae\u5999\u306b\u9055\u3063\u3066\u3044\u308b\u306e\u306f\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u3042\u308b\u3042\u308b\u306e\u5c0f\u6570\u8aa4\u5dee\u304c\u95a2\u4fc2\u3059\u308b\u306e\u3067\u3057\u3087\u3046\u304c\u3001\u4eca\u56de\u306f\u6570\u5024\u306e\u6b63\u78ba\u6027\u306f\u91cd\u8981\u3067\u306f\u306a\u3044\u306e\u3067\u30b9\u30eb\u30fc\u3057\u307e\u3059\u3002
\u300cmin_lr\u300d\u306f\u5b66\u7fd2\u7387\u306e\u4e0b\u9650\u3067\u3059\u3002\u3042\u307e\u308a\u5b66\u7fd2\u7387\u304c\u5c0f\u3055\u304f\u306a\u308a\u904e\u304e\u308b\u3068\u5b66\u7fd2\u52b9\u7387\u306b\u60aa\u5f71\u97ff\u306a\u306e\u3067\u3001\u3053\u306e\u3088\u3046\u306a\u8a2d\u5b9a\u304c\u3042\u308b\u3088\u3046\u3067\u3059\u3002<\/p>\n\n\n\n
\u4eca\u56de\u306f\u521d\u671f\u306e\u5b66\u7fd2\u7387\u30926.40E-05\u3068\u3057\u300150epoch\u306e\u9593\u306bval_loss\u306b\u6539\u5584\u304c\u306a\u3051\u308c\u3070\u5b66\u7fd2\u7387\u3092\u534a\u5206\u306b\u6e1b\u3089\u3057\u3066\u3044\u304f\uff08\u3064\u307e\u308a\u306f3.20E-05, 1.60E-05, \u2026\u3068\u5909\u5316\u3055\u305b\u3066\u3044\u304f\uff09\u3088\u3046\u306b\u8a2d\u5b9a\u3057\u3001\u3053\u308c\u3092300epoch\u5b9f\u884c\u3057\u3066\u307f\u307e\u3057\u305f\u3002<\/p>\n\n\n\n
\u7d50\u679c\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3002<\/p>\n\n\n
\n
\"\"<\/figure>\n<\/div>\n\n\n
\u4e0a\u8a18\u63a8\u79fb\u3092\u898b\u308b\u3068\u3001\u6e1b\u8870\u50be\u5411\u306f\u7d99\u7d9a\u3057\u3066\u3044\u308b\u3088\u3046\u306a\u5370\u8c61\u3067\u3059\u3002
\u3067\u306f\u3001\u3055\u3089\u306bepoch\u3092\u5897\u3084\u3057\u3066\u2026\u3068\u3082\u8003\u3048\u307e\u3057\u305f\u304c\u3001\u5b9f\u306f362epoch\u306b\u304a\u3044\u3066\u5b66\u7fd2\u304c\u6b62\u307e\u3063\u3066\u3057\u307e\u3046\u3068\u3044\u3046\u73fe\u8c61\u304c\u767a\u751f\u3057\u3066\u3044\u3066\u3001\u3053\u308c\u4ee5\u4e0a\u306e\u691c\u8a3c\u304c\u3067\u304d\u3066\u3044\u307e\u305b\u3093\u3002
\u3053\u306e\u73fe\u8c61\u306f\u518d\u73fe\u6027\u304c\u3042\u3063\u3066\u30012\u56de\u3057\u304b\u8a66\u3057\u3066\u3044\u307e\u305b\u3093\u304c\u3001\u3044\u305a\u308c\u3082\u540c\u3058362epoch\u3067\u6b62\u307e\u3063\u3066\u3044\u308b\u306e\u3067\u3001\u30e1\u30e2\u30ea\u4e0d\u8db3\u306e\u3088\u3046\u306a\u74b0\u5883\u8981\u56e0\u3068\u306f\u5225\u306e\u7406\u7531\u3067\u767a\u751f\u3057\u3066\u3044\u308b\u3088\u3046\u306b\u601d\u308f\u308c\u307e\u3059\u3002<\/p>\n\n\n\n
\u306a\u304a\u3001300epoch\u306e\u5b66\u7fd2\u306b\u304a\u3044\u3066val_loss\u304c\u66f4\u65b0\u3055\u308c\u305f\u969b\u306eepoch, loss, val_loss\u3068\u3001\u305d\u306e\u969b\u306e\u5b66\u7fd2\u7387\uff08learning_rate\uff09\u306b\u95a2\u3057\u3066\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3002<\/p>\n\n\n\n
epoch<\/td>loss<\/td>val_loss<\/td>learning_rate<\/td><\/tr>
1<\/td>0.1944<\/td>0.1480<\/td>6.40E-05<\/td><\/tr>
2<\/td>0.0858<\/td>0.0893<\/td>6.40E-05<\/td><\/tr>
4<\/td>0.0502<\/td>0.0811<\/td>6.40E-05<\/td><\/tr>
5<\/td>0.0394<\/td>0.0777<\/td>6.40E-05<\/td><\/tr>
8<\/td>0.0314<\/td>0.0746<\/td>6.40E-05<\/td><\/tr>
10<\/td>0.0286<\/td>0.0640<\/td>6.40E-05<\/td><\/tr>
19<\/td>0.0219<\/td>0.0600<\/td>6.40E-05<\/td><\/tr>
21<\/td>0.0404<\/td>0.0523<\/td>6.40E-05<\/td><\/tr>
23<\/td>0.0242<\/td>0.0467<\/td>6.40E-05<\/td><\/tr>
27<\/td>0.0215<\/td>0.0398<\/td>6.40E-05<\/td><\/tr>
37<\/td>0.0194<\/td>0.0389<\/td>6.40E-05<\/td><\/tr>
43<\/td>0.0171<\/td>0.0382<\/td>6.40E-05<\/td><\/tr>
54<\/td>0.0156<\/td>0.0363<\/td>6.40E-05<\/td><\/tr>
70<\/td>0.0200<\/td>0.0303<\/td>6.40E-05<\/td><\/tr>
123<\/td>0.0130<\/td>0.0302<\/td>3.20E-05<\/td><\/tr>
124<\/td>0.0129<\/td>0.0299<\/td>3.20E-05<\/td><\/tr>
125<\/td>0.0128<\/td>0.0296<\/td>3.20E-05<\/td><\/tr>
127<\/td>0.0127<\/td>0.0296<\/td>3.20E-05<\/td><\/tr>
128<\/td>0.0126<\/td>0.0293<\/td>3.20E-05<\/td><\/tr>
129<\/td>0.0126<\/td>0.0290<\/td>3.20E-05<\/td><\/tr>
137<\/td>0.0122<\/td>0.0288<\/td>3.20E-05<\/td><\/tr>
139<\/td>0.0120<\/td>0.0287<\/td>3.20E-05<\/td><\/tr>
143<\/td>0.0119<\/td>0.0286<\/td>3.20E-05<\/td><\/tr>
147<\/td>0.0118<\/td>0.0283<\/td>3.20E-05<\/td><\/tr>
148<\/td>0.0118<\/td>0.0282<\/td>3.20E-05<\/td><\/tr>
156<\/td>0.0126<\/td>0.0255<\/td>3.20E-05<\/td><\/tr>
167<\/td>0.0123<\/td>0.0254<\/td>3.20E-05<\/td><\/tr>
168<\/td>0.0118<\/td>0.0253<\/td>3.20E-05<\/td><\/tr>
212<\/td>0.0138<\/td>0.0221<\/td>3.20E-05<\/td><\/tr>
213<\/td>0.0129<\/td>0.0217<\/td>3.20E-05<\/td><\/tr>
214<\/td>0.0122<\/td>0.0215<\/td>3.20E-05<\/td><\/tr>
215<\/td>0.0115<\/td>0.0214<\/td>3.20E-05<\/td><\/tr>
289<\/td>0.0093<\/td>0.0211<\/td>1.60E-05<\/td><\/tr>
293<\/td>0.0097<\/td>0.0207<\/td>1.60E-05<\/td><\/tr>
294<\/td>0.0092<\/td>0.0199<\/td>1.60E-05<\/td><\/tr>
295<\/td>0.0090<\/td>0.0197<\/td>1.60E-05<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
50epoch\u306e\u9593val_loss\u304c\u6539\u5584\u3057\u306a\u3044\u3068\u5b66\u7fd2\u7387\u3092\u5909\u66f4\u3059\u308b\u3053\u3068\u304b\u3089\u3001120epoch\u3068265epoch\u8fba\u308a\u3067\u540c\u5909\u66f4\u304c\u767a\u751f\u3057\u3066\u3044\u308b\u3088\u3046\u3067\u3059\u3002
\u5b66\u7fd2\u7387\u5909\u66f4\u5f8c\u306b\u518d\u3073val_loss\u306e\u6539\u5584\u304c\u898b\u3089\u308c\u308b\u3088\u3046\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u304c\u3001\u3053\u308c\u304c\u5b66\u7fd2\u7387\u3092\u4e0b\u3052\u305f\u52b9\u679c\u306a\u306e\u304b\u3001\u305f\u307e\u305f\u307e\u306a\u306e\u304b\u306f\u5224\u65ad\u304c\u96e3\u3057\u3044\u3068\u3053\u308d\u3067\u3059\u3002<\/p>\n\n\n\n
\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u7d50\u679c<\/h2>\n\n\n\n
\u524d\u8ff0\u306e\u5404\u691c\u8a3c\u7d50\u679c\u3068\u3057\u3066\u751f\u6210\u3055\u308c\u305f\u30e2\u30c7\u30eb\u306b\u3088\u308b\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u3092\u78ba\u8a8d\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n
\u305d\u306e\u524d\u306b\u3001\u4f8b\u306b\u3088\u3063\u3066\u5404\u30e2\u30c7\u30eb\u306b\u95a2\u3057\u3066val_loss\u304c\u6700\u5c0f\u3068\u306a\u3063\u305f\u72b6\u6cc1\u3092\u307e\u3068\u3081\u3066\u304a\u304d\u307e\u3059\u3002
\u300c\u53c2\u8003\u300d\u60c5\u5831\u3068\u3057\u3066\u3001\u524d\u56de\u306e\u6295\u7a3f\u3067\u6700\u3082val_loss\u304c\u5c0f\u3055\u304b\u3063\u305f\u30011.60E-05\uff08\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u6570200, 1000epoch\uff09\u306e\u60c5\u5831\u3082\u4f75\u8a18\u3057\u3066\u304a\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
<\/td>\u53c2\u8003<\/td>6.40E-05<\/td>3.20E-05<\/td>1.60E-05<\/td>\u5b66\u7fd2\u7387\u6e1b\u8870<\/td><\/tr>
epoch<\/td>518\/1000<\/td>93\/100<\/td>72\/100<\/td>85\/100<\/td>295\/300<\/td><\/tr>
loss<\/td>0.0067<\/td>0.0206<\/td>0.0177<\/td>0.0239<\/td>0.0090<\/td><\/tr>
val_loss<\/td>0.0249<\/td>0.0310<\/td>0.0368<\/td>0.0466<\/td>0.0197<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
\u300c\u53c2\u8003\u300d\u3068\u6bd4\u8f03\u3057\u3066\u3001\u540c\u3058\u5b66\u7fd2\u73871.60E-05\u3067\u3082\u4eca\u56de\u306e\u5024\u306floss, val_loss\u3068\u3082\u306b\u60aa\u3044\u3067\u3059\u306d\u3002
\u305f\u3060\u3001\u5148\u306e\u30b0\u30e9\u30d5\u306e\u5370\u8c61\u3067\u3082\u305d\u3046\u3067\u3057\u305f\u304c\u3001\u6700\u5c0f\u306eval_loss\u3092\u8a18\u9332\u3057\u305f\u30bf\u30a4\u30df\u30f3\u30b0\u304c\u5b66\u7fd2\u5168\u4f53\u306e\u7d42\u76e4\u3067\u3042\u308b\u3053\u3068\u3092\u8003\u3048\u308b\u3068\u3001\u4eca\u56de\u306e\u5b66\u7fd2\u30d1\u30bf\u30fc\u30f3\u306b\u95a2\u3057\u3066\u306f\u3001\u5168\u822c\u7684\u306b\u7d99\u7d9a\u3057\u3066\u6539\u5584\u306e\u4f59\u5730\u304c\u3042\u308b\u6bb5\u968e\u306e\u3088\u3046\u306b\u601d\u308f\u308c\u307e\u3059\u3002<\/p>\n\n\n\n
\u4e00\u65b9\u3067\u3001\u300c\u5b66\u7fd2\u7387\u6e1b\u8870\u300d\u306e\u7d50\u679c\u306f\u304b\u306a\u308a\u826f\u3044\u3067\u3059\u306d\u3002
loss\u306b\u95a2\u3057\u3066\u306f\u300c\u53c2\u8003\u300d\u3068\u6bd4\u8f03\u3057\u3066\u82e5\u5e72\u60aa\u3044\u3067\u3059\u304c\u3001val_loss\u306b\u95a2\u3057\u3066\u306f\u521d\u306e0.02\u5207\u308a\u3092\u679c\u305f\u3057\u307e\u3057\u305f\u3002
\u307e\u3041\u3001\u5b66\u7fd2\u6642\u9593\u3067\u8003\u3048\u308b\u3068\u300c\u53c2\u8003\u300d\u304c\u7d048\u6642\u9593\u3067\u3042\u308b\u306e\u306b\u5bfe\u3057\u3001\u300c\u5b66\u7fd2\u7387\u6e1b\u8870\u300d\u306f\u7d0415\u6642\u9593\u639b\u3051\u3066\u3044\u308b\u306e\u3067\u3001\u76f8\u5fdc\u306e\u6210\u679c\u304c\u306a\u3044\u3068\u56f0\u308b\u306e\u3067\u3059\u304c\u3002<\/p>\n\n\n\n
\u4e0a\u8a18\u3092\u8e0f\u307e\u3048\u3066\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u7d50\u679c\u3092\u898b\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n
<\/td>\u5143\u753b\u50cf<\/td>\u53c2\u8003<\/td>6.40E-05<\/td>3.20E-05<\/td>1.60E-05<\/td>\u5b66\u7fd2\u7387\u6e1b\u8870<\/td><\/tr>
1-1<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
1-2<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
1-3<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
1-4<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
1-5<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
2-1<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
2-2<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
2-3<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
2-4<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
2-5<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
3-1<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
3-2<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
3-3<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
3-4<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
3-5<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
4-1<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
4-2<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
4-3<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
4-4<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr>
4-5<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td>\"\"<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
\u306a\u3093\u304b\u3001\u5148\u306b\u793a\u3057\u305f\u6570\u5024\u30c7\u30fc\u30bf\u3068\u5b9f\u969b\u306e\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u7d50\u679c\u306e\u5370\u8c61\u304c\u76f8\u5f53\u306b\u9055\u3063\u3066\u3044\u308b\u3088\u3046\u306b\u601d\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
\u524d\u56de\u306e\u6295\u7a3f\u3067\u8ab2\u984c\u3068\u3057\u3066\u4e0a\u3052\u305f\u5185\u5bb9\u306b\u95a2\u3057\u3066\u500b\u5225\u306b\u898b\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n