{"id":3137,"date":"2021-10-21T08:32:24","date_gmt":"2021-10-20T23:32:24","guid":{"rendered":"https:\/\/www.ryucom.co.jp\/blog\/?p=3137"},"modified":"2021-10-21T08:32:27","modified_gmt":"2021-10-20T23:32:27","slug":"post-3137","status":"publish","type":"post","link":"https:\/\/www.ryucom.co.jp\/blog\/aws\/3137","title":{"rendered":"\u30b5\u30fc\u30d0\u30ec\u30b9\u3067\u753b\u50cf\u306e\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u3092\u4f5c\u3063\u3066\u307f\u305f\u2461"},"content":{"rendered":"\n
\u3053\u3093\u306b\u3061\u306f\u3001\u5bae\u5185\u3067\u3059\u3002
\u524d\u56de\u306f\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u3092\u5b9f\u88c5\u3059\u308b\u305f\u3081\u306e\u4e0b\u6e96\u5099\u3068\u3057\u3066\u3001Lambda Layer\u306e\u8a2d\u5b9a\u307e\u3067\u884c\u3044\u307e\u3057\u305f\u3002
\u4eca\u56de\u306f\u3044\u3088\u3044\u3088\u3001\u672c\u984c\u306e\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u306e\u5b9f\u88c5\u3092\u8aac\u660e\u3057\u307e\u3059\uff01<\/p>\n\n\n\n
S3\u3078\u306e\u753b\u50cf\u30d5\u30a1\u30a4\u30eb\u306e\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3092\u30c8\u30ea\u30ac\u30fc\u3068\u3057\u3066\u3001Lambda\u3092\u5b9f\u884c\u3059\u308b\u30b7\u30f3\u30d7\u30eb\u306a\u69cb\u6210\u3067\u3059\u3002 \u5404\u7a2e\u30b5\u30fc\u30d3\u30b9\u306e\u6982\u8981\u3068\u7528\u9014\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n\n\n\n AWS\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u30b9\u30c8\u30ec\u30fc\u30b8\u30b5\u30fc\u30d3\u30b9\u3002 AWS\u306e\u30b5\u30fc\u30d0\u30ec\u30b9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b5\u30fc\u30d3\u30b9\u3002 AWS\u306e\u753b\u50cf\u5206\u6790\u30b5\u30fc\u30d3\u30b9\u3002 Lambda\u306b\u5b9f\u88c5\u3059\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u30b3\u30fc\u30c9\u306e\u8aac\u660e\u3092\u3057\u307e\u3059\u3002<\/p>\n\n\n\n \u305d\u308c\u3067\u306f\u3001\u5b9f\u88c5\u306e\u4e3b\u8981\u306a\u90e8\u5206\u306b\u3064\u3044\u3066\u7d30\u304b\u304f\u898b\u3066\u3044\u304d\u307e\u3057\u3087\u3046\uff01<\/p>\n\n\n\n \u4eca\u56de\u4f7f\u7528\u3059\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u306f\u4ee5\u4e0b\u306e\uff13\u3064\u3067\u3059\u3002<\/p>\n\n\n\n \u753b\u50cf\u5185\u306e\u9854\u3092\u691c\u51fa\u3059\u308b\u305f\u3081\u3001Rekognition\u306eAPI\u300cDetectFaces\u300d\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002 Attibutes\u3067ALL\u3092\u6307\u5b9a\u3059\u308b\u3068\u3001\u5e74\u9f62\u3084\u6027\u5225\u3001\u8868\u60c5\u3068\u3044\u3063\u305f\u8a73\u7d30\u306a\u5206\u6790\u7d50\u679c\u3082\u53d6\u5f97\u3067\u304d\u307e\u3059\u3002 \u300cDetectFaces\u300d\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3001AWS\u516c\u5f0f\u306eAPI\u30ea\u30d5\u30a1\u30ec\u30f3\u30b9\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n Amazon Rekognition – DetectFaces<\/strong><\/a><\/p><\/blockquote>\n\n\n\n \u753b\u50cf\u306e\u9854\u60c5\u5831\u306f FaceDetails \u3068\u3044\u3046\u30ea\u30b9\u30c8\u3067\u8fd4\u5374\u3055\u308c\u307e\u3059\u3002 \u4ee5\u964d\u306e\u51e6\u7406\u306f\u9854\u304c\u5199\u3063\u3066\u3044\u308b\u5834\u5408\u306e\u51e6\u7406\u3067\u3059\u3002<\/p>\n\n\n\n \u8907\u6570\u4eba\u5199\u3063\u3066\u3044\u308b\u5834\u5408\u3092\u8003\u616e\u3057\u3001\u9854\u306e\u4f4d\u7f6e\u60c5\u5831\u306ffor\u6587\u3067\u307e\u3068\u3081\u3066\u53d6\u5f97\u3057\u307e\u3059\u3002 \u300c\u5883\u754c\u30dc\u30c3\u30af\u30b9\u300d\u3068\u547c\u3070\u308c\u308b\u3082\u306e\u3067\u3001\u9854\u3092\u56f2\u3080\u56db\u89d2\u5f62\u306e\u67a0\u306e\u3053\u3068\u3092\u6307\u3057\u307e\u3059\u3002 \u6ce8\u610f\u70b9\u3068\u3057\u3066\u306f\u3001\u305d\u308c\u305e\u308c\u306e\u5024\u306f\u753b\u50cf\u306e\u5e45\u3084\u9ad8\u3055\uff08\u30d4\u30af\u30bb\u30eb\uff09\u306b\u5bfe\u3059\u308b\u300c\u6bd4\u7387\uff08\uff10\uff5e\uff11\u306e\u5024\uff09\u300d\u3067\u3042\u308b\u3068\u3044\u3046\u70b9\u3067\u3059\u3002 \u30e2\u30b6\u30a4\u30af\u51e6\u7406\u3067\u306f\u30d4\u30af\u30bb\u30eb\u5024\u3092\u4f7f\u3046\u305f\u3081\u3001BoundingBox\u306e\u5024\u3092\u305d\u306e\u307e\u307e\u5229\u7528\u3059\u308b\u3053\u3068\u306f\u3067\u304d\u307e\u305b\u3093\u3002 \u307e\u305a\u306f\u30d0\u30b1\u30c3\u30c8\u306e\u30ea\u30bd\u30fc\u30b9\u3092\u5229\u7528\u3057\u3066\u3001S3\u304b\u3089\u753b\u50cf\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3057\u307e\u3059\u3002 \u3053\u3053\u306f\u5c11\u3057\u6570\u5b66\u30c1\u30c3\u30af\u306a\u8a71\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n \u307e\u305a\u306f\u30e2\u30b6\u30a4\u30af\u3092\u304b\u3051\u308b\u7bc4\u56f2\u3092\u7279\u5b9a\u3057\u307e\u3059\u3002 \u5de6\u4e0a\u306e\u5ea7\u6a19\uff08x1\u3001y1\uff09\u306e\u6c42\u3081\u65b9\u306f\u7c21\u5358\u3067\u3001<\/p>\n\n\n\n \u3067\u6c42\u3081\u3089\u308c\u308b\u306e\u3067\u3001\u4ee5\u4e0b\u306e\u5b9f\u88c5\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n \u4e00\u65b9\u3001\u53f3\u4e0b\u306e\u5ea7\u6a19\uff08x2\u3001y2\uff09\u306f\u3001\u5de6\u4e0a\u306e\u5ea7\u6a19\uff08x1\u3001y1\uff09\u3092\u5229\u7528\u3057\u3066\u6c42\u3081\u3089\u308c\u307e\u3059\u3002<\/p>\n\n\n\n \u5b9f\u88c5\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n\n\n\n \u540c\u3058\u3088\u3046\u306a\u8aac\u660e\u306f\u3001AWS\u516c\u5f0f\u306e\u30c7\u30d9\u30ed\u30c3\u30d1\u30fc\u30ac\u30a4\u30c9\u306b\u3082\u3042\u308a\u307e\u3059\u306e\u3067\u3001\u662f\u975e\u3053\u3061\u3089\u3082\u3054\u89a7\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n Amazon Rekognition – \u5883\u754c\u30dc\u30c3\u30af\u30b9\u306e\u8868\u793a<\/a><\/strong><\/p><\/blockquote>\n\n\n\n \u30e2\u30b6\u30a4\u30af\u51e6\u7406\u306e\u5b9f\u88c5\u3067\u3059\u304c\u3001\u5b9f\u306fPillow\u306b\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u3092\u884c\u306a\u3046\u95a2\u6570\u306f\u5b9a\u7fa9\u3055\u308c\u3066\u3044\u307e\u305b\u3093\u3002 \u4eca\u56de\u306f\u30b5\u30fc\u30d0\u30ec\u30b9\u3067\u306e\u5b9f\u88c5\u306a\u306e\u3067\u3001BytesIO\u3092\u5229\u7528\u3057\u3066\u30e1\u30e2\u30ea\u4e0a\u3067\u753b\u50cf\u3092\u4fdd\u5b58\u3057\u307e\u3059\u3002 \u6700\u5f8c\u306b\u3001\u30e1\u30e2\u30ea\u4e0a\u3067\u4fdd\u5b58\u3057\u305f\u753b\u50cf\u3092S3\u3078\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3057\u307e\u3059\u3002 \u3053\u306e\u4e2d\u3067\u5fd8\u308c\u3066\u306f\u3044\u3051\u306a\u3044\u306e\u304c\u3001\u300cContentType = ‘image\/jpeg’\u300d\u306e\u8a2d\u5b9a\u3067\u3059\u3002 \u6700\u5f8c\u306bLambda\u306e\u30c8\u30ea\u30ac\u30fc\u8a2d\u5b9a\u3092\u884c\u3044\u307e\u3059\u3002 \u30c8\u30ea\u30ac\u30fc\u306e\u8a2d\u5b9a\u753b\u9762\u304c\u958b\u304d\u307e\u3059\u306e\u3067\u3001\u5fc5\u8981\u306a\u9805\u76ee\u3092\u5165\u529b\u3057\u307e\u3059\u3002<\/p>\n\n\n\n \u3053\u3053\u3067\u6ce8\u610f\u3059\u3079\u304d\u306a\u306e\u304c\u300c\u30d7\u30ec\u30d5\u30a3\u30c3\u30af\u30b9-\u30aa\u30d7\u30b7\u30e7\u30f3\u300d\u306e\u9805\u76ee\u3067\u3059\u3002 \u518d\u5e30\u547c\u3073\u51fa\u3057\u3092\u907f\u3051\u308b\u305f\u3081\u306b\u3001<\/p>\n\n\n\n \u300c\u30d7\u30ec\u30d5\u30a3\u30c3\u30af\u30b9-\u30aa\u30d7\u30b7\u30e7\u30f3\u300d\u3067\u8a2d\u5b9a\u3057\u305f\u30d5\u30a9\u30eb\u30c0\uff08\u51e6\u7406\u306e\u30c8\u30ea\u30ac\u30fc\u3068\u306a\u308b\u753b\u50cf\u30d5\u30a1\u30a4\u30eb\u3092\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3059\u308b\u30d5\u30a9\u30eb\u30c0\uff09\u3068\u3001\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u5f8c\u306e\u753b\u50cf\u3092\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3059\u308b\u30d5\u30a9\u30eb\u30c0\u304c\u7570\u306a\u308b\u3053\u3068<\/strong><\/p>\n\n\n\n \u306f\u5fc5\u305a\u78ba\u8a8d\u3057\u3066\u304a\u304d\u307e\u3057\u3087\u3046\uff01 \u305d\u308c\u3067\u306f\u5b9f\u969b\u306b\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u3092\u5b9f\u884c\u3057\u3066\u307f\u307e\u3057\u3087\u3046\uff01 \u5f15\u7528\u5143\uff1aphotoAC<\/p>\n<\/div><\/div>\n\n\n\n \u30c8\u30ea\u30ac\u30fc\u306b\u8a2d\u5b9a\u3057\u305f\u30d5\u30a9\u30eb\u30c0\u306b\u753b\u50cf\u3092\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3057\u307e\u3059\u3002 \u30ed\u30b0\u51fa\u529b\u306e\u901a\u308a\u3001mosaiced\u30d5\u30a9\u30eb\u30c0\u306b\u753b\u50cf\u304c\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3055\u308c\u3066\u3044\u307e\u3057\u305f\u3002<\/p>\n\n\n\n
S3\u306b\u95a2\u3057\u3066\u306f\u30e2\u30b6\u30a4\u30af\u5143\u753b\u50cf\u4fdd\u5b58\u7528\u3001\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u5f8c\u753b\u50cf\u4fdd\u5b58\u7528\u306e\uff12\u3064\u3042\u308a\u307e\u3059\u304c\u3001\u30d0\u30b1\u30c3\u30c8\u306f\u540c\u3058\u3067\u3001\u30d5\u30a9\u30eb\u30c0\u3092\u5206\u3051\u308b\u8a2d\u8a08\u306b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n
\u4f7f\u7528\u3059\u308b\u30b5\u30fc\u30d3\u30b9\u306b\u3064\u3044\u3066<\/h3>\n\n\n\n
\u753b\u50cf\u30d5\u30a1\u30a4\u30eb\u3092\u4fdd\u5b58\u3059\u308b\u30b9\u30c8\u30ec\u30fc\u30b8\u3068\u3057\u3066\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u30b3\u30fc\u30c9\u3092Python3.8\u3067\u5b9f\u88c5\u3057\u3066\u4f7f\u7528\u3057\u307e\u3059\u3002
\u2605\u524d\u56de\u3001Pillow\u306e\u30ec\u30a4\u30e4\u30fc\u3092\u8a2d\u5b9a\u3057\u305fLambda\u3092\u4f7f\u7528\u3057\u307e\u3057\u3087\u3046\uff01<\/span><\/p>\n\n\n\n
\u753b\u50cf\u5185\u306e\u9854\u691c\u51fa\u3092\u884c\u3046\u300cDetectFaces\u300d\u3068\u3044\u3046API\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n\n\n\n\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u306e\u5b9f\u88c5<\/h2>\n\n\n\n
# 1.\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u30a4\u30f3\u30dd\u30fc\u30c8<\/span>
from PIL import Image
import boto3
from io import BytesIO
def lambda_handler(event, context):
\u3000\u3000# 2.\u30d0\u30b1\u30c3\u30c8\u540d\u3068\u30d5\u30a1\u30a4\u30eb\u540d\u3092\u53d6\u5f97<\/span>
\u3000\u3000bucket_name = event['Records'][0]['s3']['bucket']['name']
\u3000\u3000file_name = event['Records'][0]['s3']['object']['key']
\u3000\u3000# 3.Lambda\u3068\u4ed6\u306eAWS\u30b5\u30fc\u30d3\u30b9\uff08Rekognition,S3\uff09\u3092\u9023\u643a<\/span>
\u3000\u3000rekognition_client = boto3.client('rekognition')
\u3000\u3000s3_resource = boto3.resource('s3')
\u3000\u3000bucket = s3_resource.Bucket(bucket_name)
\u3000\u3000# 4.\u5909\u6570\u3001\u5b9a\u6570\u5b9a\u7fa9<\/span>
\u3000\u3000list_boundingbox = []
\u3000\u3000MOSAIC_IMAGE_PREFIX = 'mosaiced\/mos_'
\u3000\u3000try:
\u3000\u3000\u3000\u3000# 5.Rekognition\u306eAPI\u5b9f\u884c<\/span>
\u3000\u3000\u3000\u3000response = rekognition_client.detect_faces(Image={'S3Object':
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000{'Bucket':bucket_name,
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000 'Name':file_name}
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000 },
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000 Attributes=['DEFAULT'])
\u3000\u3000\u3000\u3000# \u753b\u50cf\u5185\u306b\u9854\u304c\u5199\u3063\u3066\u3044\u306a\u3044\u5834\u5408<\/span>
\u3000\u3000\u3000\u3000if len(response['FaceDetails']) == 0:
\u3000\u3000\u3000\u3000\u3000\u3000# \u51e6\u7406\u7d50\u679c
\u3000\u3000\u3000\u3000\u3000\u3000result = '\u753b\u50cf\u30d5\u30a1\u30a4\u30eb\u5185\u306b\u9854\u304c\u691c\u51fa\u3055\u308c\u307e\u305b\u3093\u3067\u3057\u305f\u3002'
\u3000\u3000\u3000\u3000# \u753b\u50cf\u5185\u306b\u9854\u304c\u5199\u3063\u3066\u3044\u308b\u5834\u5408<\/span>
\u3000\u3000\u3000\u3000else:
\u3000\u3000\u3000\u3000\u3000\u3000# 6.\u9854\u306e\u4f4d\u7f6e\u60c5\u5831\u3092\u53d6\u5f97<\/span>
\u3000\u3000\u3000\u3000\u3000\u3000for faceDetail in response['FaceDetails']:
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000boundingbox = []
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000boundingbox.append(faceDetail['BoundingBox']['Left'])
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000boundingbox.append(faceDetail['BoundingBox']['Top'])
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000boundingbox.append(faceDetail['BoundingBox']['Width'])
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000boundingbox.append(faceDetail['BoundingBox']['Height'])
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000list_boundingbox.append(boundingbox)
\u3000\u3000\u3000\u3000\u3000\u3000# 7.\u753b\u50cf\u30c7\u30fc\u30bf\u53d6\u5f97<\/span>
\u3000\u3000\u3000\u3000\u3000\u3000response = bucket.Object(file_name).get()
\u3000\u3000\u3000\u3000\u3000\u3000body = response['Body'].read()
\u3000\u3000\u3000\u3000\u3000\u3000im = Image.open(BytesIO(body))
\u3000\u3000\u3000\u3000\u3000\u3000im_width = im.width
\u3000\u3000\u3000\u3000\u3000\u3000im_height = im.height
\u3000\u3000\u3000\u3000\u3000\u3000# 8.\u753b\u50cf\u306e\u30e2\u30b6\u30a4\u30af\u51e6\u7406<\/span>
\u3000\u3000\u3000\u3000\u3000\u3000for boundingBox in list_boundingbox:
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000x1 = (float)(boundingBox[0]*im_width)
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000y1 = (float)(boundingBox[1]*im_height)
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000x2 = x1 + (float)(boundingBox[2]*im_width)
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000y2 = y1 + (float)(boundingBox[3]*im_height)
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000face = im.crop((x1, y1, x2, y2))
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000mos_img = face.resize([x \/\/ 16 for x in face.size]).resize(face.size)
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000im.paste(mos_img, (int(x1), int(y1)))
\u3000\u3000\u3000\u3000\u3000\u3000# 9.\u30e1\u30e2\u30ea\u4e0a\u3067\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u5f8c\u306e\u753b\u50cf\u3092\u4fdd\u5b58<\/span>
\u3000\u3000\u3000\u3000\u3000\u3000bytesIo = BytesIO()
\u3000\u3000\u3000\u3000\u3000\u3000im.save(bytesIo, format=im.format)
\u3000\u3000\u3000\u3000\u3000\u3000bytesIo.seek(0)
\u3000\u3000\u3000\u3000\u3000\u3000# 10.\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u5f8c\u306e\u753b\u50cf\u3092S3\u306b\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9<\/span>
\u3000\u3000\u3000\u3000\u3000\u3000idx = file_name.find('\/')
\u3000\u3000\u3000\u3000\u3000\u3000file_name = file_name[idx+1:]
\u3000\u3000\u3000\u3000\u3000\u3000processed_file_name = MOSAIC_IMAGE_PREFIX + file_name
\u3000\u3000\u3000\u3000\u3000\u3000bucket.put_object(
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000Body = bytesIo,
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000Key = processed_file_name,
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000ContentType = 'image\/jpeg'
\u3000\u3000\u3000\u3000\u3000\u3000)
\u3000\u3000\u3000\u3000\u3000\u3000result = '\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u5b9f\u884c\uff01 \u4fdd\u5b58\u30d5\u30a1\u30a4\u30eb\u540d\uff1a' + processed_file_name'
\u3000\u3000except Exception as e:
\u3000\u3000\u3000\u3000print(e)
\u3000\u3000# 11.\u51e6\u7406\u7d50\u679c\u3092\u8868\u793a\u3001\u8fd4\u5374<\/span>
\u3000\u3000print(result)
\u3000\u3000return(result)<\/span><\/code><\/p><\/div><\/div>\n\n\n\n\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u30a4\u30f3\u30dd\u30fc\u30c8<\/h3>\n\n\n\n
from PIL import Image
import boto3
from io import BytesIO<\/code><\/p><\/div><\/div>\n\n\n\nRekognition\u306eAPI\u5b9f\u884c<\/h3>\n\n\n\n
response = rekognition_client.detect_faces(Image={'S3Object':
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000{'Bucket':bucket_name,
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000 'Name':file_name}
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000 },
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000 Attributes=['DEFAULT'])<\/code><\/p><\/div><\/div>\n\n\n\n
\u30ea\u30af\u30a8\u30b9\u30c8\u30d1\u30e9\u30e1\u30fc\u30bf\u3067\u8a2d\u5b9a\u3059\u308b\u306e\u306f\u3001Image\u3068Attributes\u306e\uff12\u3064\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u3067\u4f7f\u7528\u3059\u308b\u60c5\u5831\u306f\u3001DEFAULT\u6307\u5b9a\u3067\u3082\u53d6\u5f97\u53ef\u80fd\u306a\u306e\u3067\u3001\u4eca\u56de\u306fDEFAULT\u3092\u6307\u5b9a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n\u753b\u50cf\u5185\u306b\u9854\u304c\u5199\u3063\u3066\u3044\u306a\u3044\u5834\u5408<\/h3>\n\n\n\n
if len(response['FaceDetails']) == 0:
\u3000\u3000# \u51e6\u7406\u7d50\u679c
\u3000\u3000result = '\u753b\u50cf\u30d5\u30a1\u30a4\u30eb\u5185\u306b\u9854\u304c\u691c\u51fa\u3055\u308c\u307e\u305b\u3093\u3067\u3057\u305f\u3002'<\/code><\/p><\/div><\/div>\n\n\n\n
\u9854\u304c\u691c\u51fa\u3055\u308c\u306a\u304b\u3063\u305f\u5834\u5408\u306f\u30ea\u30b9\u30c8\u306e\u9577\u3055\u304c\uff10\u306b\u306a\u308b\u305f\u3081\u3001\u30ea\u30b9\u30c8\u306e\u9577\u3055\u304c\uff10\u306e\u5834\u5408\u306f\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u3092\u5b9f\u884c\u3057\u306a\u3044\u3088\u3046\u306b\u3057\u3066\u3044\u307e\u3059\u3002
\u3061\u306a\u307f\u306b\u8907\u6570\u4eba\u306e\u9854\u304c\u5199\u3063\u3066\u3044\u308b\u5834\u5408\u306f\u3001\u30ea\u30b9\u30c8\u306e\u8981\u7d20\u304c\u8907\u6570\u500b\u8a2d\u5b9a\u3055\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n
\u9854\u306e\u4f4d\u7f6e\u60c5\u5831\u3092\u53d6\u5f97<\/h3>\n\n\n\n
for faceDetail in response['FaceDetails']:
\u3000\u3000boundingbox = []
\u3000\u3000boundingbox.append(faceDetail['BoundingBox']['Left'])
\u3000\u3000boundingbox.append(faceDetail['BoundingBox']['Top'])
\u3000\u3000boundingbox.append(faceDetail['BoundingBox']['Width'])
\u3000\u3000boundingbox.append(faceDetail['BoundingBox']['Height'])
\u3000\u3000list_boundingbox.append(boundingbox)<\/code><\/p><\/div><\/div>\n\n\n\n
\u3053\u3053\u3067\u5229\u7528\u3059\u308b\u306e\u304c\u3001\u30ec\u30b9\u30dd\u30f3\u30b9\u306b\u542b\u307e\u308c\u3066\u3044\u308b BoundingBox \u306e\u5024\u3067\u3059\u3002<\/p>\n\n\n\nBoundingBox\u3068\u306f<\/h4>\n\n\n\n
BoundingBox\u306b\u306f\u30d1\u30e9\u30e1\u30fc\u30bf\u304c\uff14\u3064\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n
\u4f8b\u3048\u3070\u3001\u9854\u306e\u7e26\u306e\u5927\u304d\u3055\uff08Height\uff09\u304c\u753b\u50cf\u306e\u9ad8\u3055\u306b\u5bfe\u3057\u3066\u3061\u3087\u3046\u3069\u534a\u5206\u3060\u3063\u305f\u5834\u5408\u3001Height\u306b\u306f\u300c0.5\u300d\u3068\u3044\u3046\u5024\u304c\u8a2d\u5b9a\u3055\u308c\u307e\u3059\u3002<\/p>\n\n\n\n
\u305d\u3053\u3067\u3001\u6bd4\u7387\u3092\u30d4\u30af\u30bb\u30eb\u5024\u3078\u5909\u63db\u3059\u308b\u306b\u306f\u3001\u753b\u50cf\u306e\u5e45\u3068\u9ad8\u3055\u306e\u30d4\u30af\u30bb\u30eb\u5024\u3092\u53d6\u5f97\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n\u753b\u50cf\u30c7\u30fc\u30bf\u53d6\u5f97<\/h3>\n\n\n\n
response = bucket.Object(file_name).get()
body = response['Body'].read()
im = Image.open(BytesIO(body))
im_width = im.width
im_height = im.height<\/code><\/p><\/div><\/div>\n\n\n\n
\u53d6\u5f97\u3057\u305f\u753b\u50cf\u30c7\u30fc\u30bf\u306fPillow\u3068BytesIO\u3092\u5229\u7528\u3057\u3066\u30d0\u30a4\u30c8\u5217\u306b\u5909\u63db\u3057\u3001\u753b\u50cf\u306e\u5e45\u3068\u9ad8\u3055\u3092\u53d6\u5f97\u3057\u307e\u3059\u3002
\u3053\u308c\u3067\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u3092\u5b9f\u884c\u3059\u308b\u6e96\u5099\u304c\u3067\u304d\u307e\u3057\u305f\u3002<\/p>\n\n\n\n\u753b\u50cf\u306e\u30e2\u30b6\u30a4\u30af\u51e6\u7406<\/h3>\n\n\n\n
\u30e2\u30b6\u30a4\u30af\u7bc4\u56f2\u306e\u7279\u5b9a<\/h4>\n\n\n\n
\u6c42\u3081\u305f\u3044\u306e\u306fBoundingBox\u306e\u5de6\u4e0a\u306e\u5ea7\u6a19\uff08x1\u3001y1\uff09\u3068\u3001\u53f3\u4e0b\u306e\u5ea7\u6a19\uff08x2\u3001y2\uff09\u3067\u3059\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n
\u5de6\u4e0a\u306ex\u5ea7\u6a19\uff08x1\uff09 \uff1d\uff08\u753b\u50cf\u306e\u5e45\uff09\u00d7\uff08BoundingBox\u306e\u5de6\u7aef\u5ea7\u6a19\u306e\u6bd4\u7387\uff1aLeft\uff09<\/code><\/li>
\u5de6\u4e0a\u306ey\u5ea7\u6a19\uff08y1\uff09 \uff1d\uff08\u753b\u50cf\u306e\u9ad8\u3055\uff09\u00d7\uff08BoundingBox\u306e\u4e0a\u7aef\u5ea7\u6a19\u306e\u6bd4\u7387\uff1aTop\uff09<\/code><\/li><\/ul>\n\n\n\n
<\/figure>\n\n\n\n
x1 = (float)(boundingBox[0]*im_width)
y1 = (float)(boundingBox[1]*im_height)<\/code><\/p><\/div><\/div>\n\n\n\n\u53f3\u4e0b\u306ex\u5ea7\u6a19\uff08x2\uff09 \uff1d\uff08\u5de6\u4e0a\u306ex\u5ea7\u6a19\uff08x1\uff09\uff09\uff0b\uff08BoundingBox\u306e\u5e45\uff09<\/span><\/span><\/span>
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\uff1d\uff08\u5de6\u4e0a\u306ex\u5ea7\u6a19\uff08x1\uff09\uff09\uff0b\uff5b\uff08\u753b\u50cf\u306e\u5e45\uff09\u00d7\uff08BoundingBox\u306e\u5e45\u306e\u6bd4\u7387\uff1aWidth\uff09\uff5d<\/span><\/span><\/code><\/li>\u53f3\u4e0b\u306ex\u5ea7\u6a19\uff08y2\uff09 \uff1d\uff08\u5de6\u4e0a\u306ey\u5ea7\u6a19\uff08y1\uff09\uff09\uff0b\uff08BoundingBox\u306e\u9ad8\u3055\uff09<\/span><\/span><\/span><\/span><\/span>
\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\uff1d\uff08\u5de6\u4e0a\u306ey\u5ea7\u6a19\uff08y1\uff09\uff09\uff0b\uff5b\uff08\u753b\u50cf\u306e\u9ad8\u3055\uff09\u00d7\uff08BoundingBox\u306e\u9ad8\u3055\u306e\u6bd4\u7387\uff1aHeight\uff09\uff5d<\/span><\/span><\/code><\/li><\/ul>\n\n\n\n<\/figure>\n\n\n\n
x2 = x1 + (float)(boundingBox[2]*im_width)
y2 = y1 + (float)(boundingBox[3]*im_height)<\/code><\/p><\/div><\/div>\n\n\n\n\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u306e\u5b9f\u88c5<\/h4>\n\n\n\n
face = im.crop((x1, y1, x2, y2))
mos_img = face.resize([x \/\/ 16 for x in face.size]).resize(face.size)
im.paste(mos_img, (int(x1), int(y1)))<\/code><\/p><\/div><\/div>\n\n\n\n
\u305d\u3053\u3067\u3001\u8907\u6570\u306e\u95a2\u6570\u3092\u547c\u3073\u51fa\u3059\u3053\u3068\u3067\u3001\u7591\u4f3c\u7684\u306a\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u3092\u4f5c\u308a\u307e\u3059\u3002<\/p>\n\n\n\ncrop\u95a2\u6570\u306b\u3088\u308a\u3001\u30e2\u30b6\u30a4\u30af\u3059\u308b\u7bc4\u56f2\u3092\u5207\u308a\u53d6\u308b\u3002<\/code><\/li>
resize\u95a2\u6570\u306b\u3088\u308a\u3001\u5207\u308a\u53d6\u3063\u305f\u753b\u50cf\u3092\u7e2e\u5c0f\u3057\u3001\u5143\u306e\u30b5\u30a4\u30ba\u306b\u62e1\u5927\u3059\u308b\u3002\uff08\u753b\u50cf\u3092\u7c97\u304f\u3059\u308b\uff09<\/code><\/li>
paste\u95a2\u6570\u306b\u3088\u308a\u3001\u5207\u308a\u53d6\u3063\u305f\u7bc4\u56f2\u3092\u5143\u306e\u753b\u50cf\u306b\u8cbc\u308a\u4ed8\u3051\u308b\u3002<\/code><\/li><\/ol>\n\n\n\n
<\/figure>\n\n\n\n
\u30e1\u30e2\u30ea\u4e0a\u3067\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u5f8c\u306e\u753b\u50cf\u3092\u4fdd\u5b58<\/h3>\n\n\n\n
bytesIo = BytesIO()
im.save(bytesIo, format=im.format)
bytesIo.seek(0)<\/code><\/p><\/div><\/div>\n\n\n\n
seek\u95a2\u6570\u306f\u30d0\u30a4\u30c8\u5217\u306e\u8aad\u307f\u59cb\u3081\u308b\u4f4d\u7f6e\uff08\u30dd\u30a4\u30f3\u30bf\uff09\u3092\u5148\u982d\u306b\u5909\u66f4\u3059\u308b\u304a\u307e\u3058\u306a\u3044\u3067\u3001\u753b\u50cf\u3092\u6b63\u5e38\u306b\u4fdd\u5b58\u3059\u308b\u305f\u3081\u306b\u5fc5\u8981\u3068\u306a\u308a\u307e\u3059\u3002\u5fd8\u308c\u306a\u3044\u3088\u3046\u306b\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u5f8c\u306e\u753b\u50cf\u3092S3\u306b\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9<\/h3>\n\n\n\n
idx = file_name.find('\/')
file_name = file_name[idx+1:]
processed_file_name = MOSAIC_IMAGE_PREFIX + file_name
bucket.put_object(
\u3000\u3000Body = bytesIo,
\u3000\u3000Key = processed_file_name,
\u3000\u3000ContentType = 'image\/jpeg'
)<\/code><\/p><\/div><\/div>\n\n\n\n
\uff11\uff5e\uff12\u884c\u76ee\u3067\u306f\u3001\u30d5\u30a1\u30a4\u30eb\u540d\u306b\u4ed8\u3044\u3066\u3044\u308b\u300coriginal\/\u300d\u3068\u3044\u3046\u63a5\u982d\u8f9e\u3092\u5916\u3057\u3066\u3001\u30d5\u30a1\u30a4\u30eb\u540d\u306e\u307f\u3092\u53d6\u5f97\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
\u3053\u306e\u8a2d\u5b9a\u3092\u5fd8\u308c\u3066\u3057\u307e\u3046\u3068\u3001\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3057\u305f\u30d5\u30a1\u30a4\u30eb\u304c\u300capplicaton\/octet-stream\u300d\u3067\u8a2d\u5b9a\u3055\u308c\u3066\u3057\u307e\u3044\u3001\u30d0\u30a4\u30ca\u30ea\u30d5\u30a1\u30a4\u30eb\u306e\u6271\u3044\u3068\u306a\u3063\u3066\u3057\u307e\u3046\u305f\u3081\u3001\u30d5\u30a1\u30a4\u30eb\u3092\u958b\u3053\u3046\u3068\u3059\u308b\u5ea6\u306b\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u304c\u767a\u751f\u3057\u307e\u3059\u3002
S3\u306b\u30d5\u30a1\u30a4\u30eb\u3092\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3059\u308b\u5834\u5408\u306f\u3001\u5fc5\u305aContentType\u3092\u8a2d\u5b9a\u3059\u308b\u3088\u3046\u306b\u3057\u307e\u3057\u3087\u3046\uff01<\/p>\n\n\n\nLambda\u306e\u30c8\u30ea\u30ac\u30fc\u8a2d\u5b9a<\/h2>\n\n\n\n
Lambda\u306e\u7de8\u96c6\u753b\u9762\u306e\u4e0a\u90e8\u306b\u3042\u308b \u95a2\u6570\u306e\u6982\u8981 \u306e\u300c\u30c8\u30ea\u30ac\u30fc\u3092\u8ffd\u52a0\u300d\u3092\u30af\u30ea\u30c3\u30af\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n
<\/figure>\n\n\n\n
\u4eca\u56de\u306eLambda\u306e\u4ed5\u69d8\u3068\u3057\u3066\u3001S3\u3078\u306e\u753b\u50cf\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3092\u30c8\u30ea\u30ac\u30fc\u306b\u51e6\u7406\u3092\u884c\u306a\u3044\u3001\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u5f8c\u306e\u753b\u50cf\u3092S3\u306b\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3057\u3066\u3044\u307e\u3059\u3002
\u3053\u306e\u6642\u3001\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u5f8c\u306e\u30d5\u30a1\u30a4\u30eb\u3092\u300c\u30d7\u30ec\u30d5\u30a3\u30c3\u30af\u30b9-\u30aa\u30d7\u30b7\u30e7\u30f3\u300d\u3067\u8a2d\u5b9a\u3057\u305f\u30d5\u30a9\u30eb\u30c0\u306b\u4fdd\u5b58\u3059\u308b\u3068\u3001\u30e2\u30b6\u30a4\u30af\u3092\u304b\u3051\u305f\u753b\u50cf\u3092\u30c8\u30ea\u30ac\u30fc\u306bLambda\u304c\u5b9f\u884c\u3055\u308c\u308b\u305f\u3081\u3001\u51e6\u7406\u304c\u30eb\u30fc\u30d7\u3059\u308b\uff08\u518d\u5e30\u7684\u306bLambda\u304c\u5b9f\u884c\u3055\u308c\u308b\uff09\u6050\u308c\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<\/figure>\n\n\n\n
\u4eca\u56de\u306f\u30d0\u30b1\u30c3\u30c8\u3092\u5171\u6709\u3057\u3066\u3044\u308b\u305f\u3081\u6ce8\u610f\u304c\u5fc5\u8981\u3067\u3059\u304c\u3001\u4f7f\u7528\u3059\u308b\u30d0\u30b1\u30c3\u30c8\u3092\u5225\u3005\u306b\u3057\u3066\u3044\u308c\u3070\u5fc3\u914d\u306f\u7121\u3044\u3067\u3059\u306d\u3002\u554f\u984c\u304c\u7121\u3051\u308c\u3070\u8ffd\u52a0\u3092\u30af\u30ea\u30c3\u30af\u3057\u3001\u30c8\u30ea\u30ac\u30fc\u3092\u8a2d\u5b9a\u3057\u307e\u3059\u3002<\/p>\n\n\n\n\u5b9f\u969b\u306b\u52d5\u304b\u3057\u3066\u307f\u308b<\/h2>\n\n\n\n
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https:\/\/www.photo-ac.com\/main\/detail\/315222?title=%E9%9D%92%E7%A9%BA%E3%81%AE%E4%B8%8B%E3%80%81%E3%82%B9%E3%83%9E%E3%83%9B%E3%81%A7%E8%A8%98%E5%BF%B5%E5%86%99%E7%9C%9F7<\/a><\/p>\n\n\n\n
CloudWatch\u3092\u78ba\u8a8d\u3059\u308b\u3068\u3001\u30e2\u30b6\u30a4\u30af\u51e6\u7406\u5b9f\u884c\u306e\u30ed\u30b0\u304c\u51fa\u529b\u3055\u308c\u3066\u3044\u307e\u3059\uff01<\/p>\n\n\n\n<\/figure>\n\n\n\n
<\/figure>\n\n\n\n