{"id":1997,"date":"2018-02-03T21:25:43","date_gmt":"2018-02-03T12:25:43","guid":{"rendered":"http:\/\/bezelie.com\/blog\/?page_id=1997"},"modified":"2018-02-25T12:59:18","modified_gmt":"2018-02-25T03:59:18","slug":"%e3%82%ab%e3%83%a1%e3%83%a9%e3%81%a7%e9%a1%94%e8%aa%8d%e8%ad%98%e3%81%95%e3%81%9b%e3%81%a6%e3%81%bf%e3%82%8b","status":"publish","type":"page","link":"http:\/\/bezelie.com\/blog\/?page_id=1997","title":{"rendered":"\u30ab\u30e1\u30e9\u3067\u9854\u8a8d\u8b58\u3055\u305b\u3066\u307f\u308b"},"content":{"rendered":"

\u30fb\u3053\u3053\u3067\u306f\u3001\u3079\u30bc\u30ea\u30fc\u306b\u5185\u8535\u3057\u305f\u30ab\u30e1\u30e9\u3067\u4eba\u9593\u306e\u9854\u3092\u8a8d\u8b58\u3055\u305b\u3066\u307f\u307e\u3059\u3002<\/p>\n

\u30fb\u9854\u306e\u8a8d\u8b58\u306b\u306f\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e\u753b\u50cf\u51e6\u7406\u30e9\u30a4\u30d6\u30e9\u30ea\u300cOpen CV\uff08Open Source Computer Vision Library\uff09\u300d\u3092\u4f7f\u3044\u307e\u3059\u3002<\/p>\n

\u6e96\u5099<\/h5>\n

\u30fb\u300c\u30ab\u30e1\u30e9\u3092\u4f7f\u3063\u3066\u307f\u308b<\/a>\u300d\u3092\u30af\u30ea\u30a2\u3057\u305f\u72b6\u614b\uff08\u30e9\u30ba\u30d1\u30a4\u30ab\u30e1\u30e9\u3092\u63a5\u7d9a\u3057\u3001HDMI\u30c7\u30a3\u30b9\u30d7\u30ec\u30a4\u304c\u63a5\u7d9a\u3055\u308c\u305f\u72b6\u614b\uff09\u306b\u3057\u3066\u304a\u3044\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n

\u30b5\u30f3\u30d7\u30eb\u30d7\u30ed\u30b0\u30e9\u30e0\u3000sample_face1.py<\/h5>\n

\u30fb\u30d1\u30bd\u30b3\u30f3\u304b\u3089\u306e\u9060\u9694\u64cd\u4f5c\u3060\u3068\u52d5\u753b\u304c\u8868\u793a\u3055\u308c\u306a\u3044\u3053\u3068\u304c\u3042\u308b\u306e\u3067\u3001\u30e9\u30ba\u30d1\u30a4\u306b\u76f4\u63a5\u3064\u306a\u3052\u305f\u30ad\u30fc\u30dc\u30fc\u30c9\u3068\u30c7\u30a3\u30b9\u30d7\u30ec\u30a4\u3067\u5b9f\u884c\u3057\u3066\u304f\u3060\u3055\u3044\u3002\uff08\u56de\u907f\u624b\u6bb5\u306f\u3042\u308a\u307e\u3059\u304c\u3001\u3053\u3053\u3067\u306f\u8aac\u660e\u3057\u307e\u305b\u3093\uff09<\/p>\n

$ cd ~\/bezelie\/edgar\n$ python sample_face1.py<\/pre>\n
\u30fb\u30c7\u30a3\u30b9\u30d7\u30ec\u30a4\u306b\u8868\u793a\u3055\u308c\u3066\u3044\u308b\u30ab\u30e1\u30e9\u753b\u50cf\u306e\u4e2d\u306b\u9854\u304c\u53ce\u307e\u308b\u3068\u3001\u8d64\u3044\u56db\u89d2\u304c\u8868\u793a\u3055\u308c\u3001\u3079\u30bc\u30ea\u30fc\u304c\u558b\u308b\u306f\u305a\u3067\u3059\u3002\u9854\u304c\u753b\u9762\u304b\u3089\u306f\u307f\u51fa\u3066\u3044\u305f\u308a\u3001\u50be\u3044\u3066\u3044\u305f\u308a\u3001\u9060\u3059\u304e\u308b\u3068\u53cd\u5fdc\u3057\u307e\u305b\u3093\u3002
\n\u30fb\u7d42\u4e86\u3057\u305f\u3044\u3068\u304d\u306f\u30ad\u30fc\u30dc\u30fc\u30c9\u306e\u300cq\u300d\u30dc\u30bf\u30f3\u3092\u62bc\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9<\/h5>\n
#!\/usr\/bin\/python\n# -*- coding: utf-8 -*-\n# Bezelie Sample Code : Face Recognition Test\nimport picamera\nimport picamera.array\nimport cv2\nimport bezelie\n\ncascade_path =  \"\/usr\/share\/opencv\/haarcascades\/haarcascade_frontalface_alt.xml\"\ncascade = cv2.CascadeClassifier(cascade_path)\n\n# Get Started\nbez = bezelie.Control()               # \u3079\u30bc\u30ea\u30fc\u64cd\u4f5c\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306e\u751f\u6210\nbez.moveCenter()                      # \u30b5\u30fc\u30dc\u3092\u30bb\u30f3\u30bf\u30ea\u30f3\u30b0\n\n# Main Loop\ndef main():\n  with picamera.PiCamera() as camera:                         # Open Pi-Camera as camera\n    with picamera.array.PiRGBArray(camera) as stream:         # Open Video Stream from Pi-Camera as stream\n      camera.resolution = (600, 400)                          # Display Resolution\n      camera.hflip = True                                     # Vertical Flip \n      camera.vflip = True                                     # Horizontal Flip\n\n      while True:\n        camera.capture(stream, 'bgr', use_video_port=True)    # Capture the Video Stream\n        gray = cv2.cvtColor(stream.array, cv2.COLOR_BGR2GRAY) # Convert BGR to Grayscale\n        facerect = cascade.detectMultiScale(gray,             # Find face from gray\n          scaleFactor=1.9,                                    # 1.1 - 1.9 :the bigger the quicker & less acurate \n          minNeighbors=1,                                     # 3 - 6 : the smaller the more easy to detect\n          minSize=(60,100),                                  # Minimam face size \n          maxSize=(400,400))                                  # Maximam face size\n\n        if len(facerect) > 0:\n          bez.moveHead (20)\n          for rect in facerect:\n            cv2.rectangle(stream.array,                       # Draw a red rectangle at face place \n              tuple(rect[0:2]),                               # Upper Left\n              tuple(rect[0:2]+rect[2:4]),                     # Lower Right\n              (0,0,255), thickness=2)                         # Color and thickness\n\n        cv2.imshow('frame', stream.array)                     # Display the stream\n        bez.moveHead (0)\n\n        if cv2.waitKey(1) & 0xFF == ord('q'):                 # Quit operation\n          break\n\n        stream.seek(0)                                        # Reset the stream\n        stream.truncate()\n\n      cv2.destroyAllWindows()\n\nif __name__ == \"__main__\":\n  main()<\/pre>\n
\u89e3\u8aac<\/h5>\n
\u30fb\uff19~\uff11\uff10\u884c\u76ee\uff1a\u9854\u8a8d\u8b58\u306e\u305f\u3081\u306e\u5206\u985e\u5668\u3092\u8aad\u307f\u8fbc\u3093\u3067\u3044\u307e\u3059\u3002
\n\u30fb\uff12\uff15\u884c\u76ee\uff1a\u30ab\u30e1\u30e9\u306e\u753b\u50cf\u3092RGB\u3067\u30ad\u30e3\u30d7\u30c1\u30e3\u30fc\u3057\u3066\u3044\u307e\u3059\u3002
\n\u30fb\uff12\uff16\u884c\u76ee\uff1aRGB\u52d5\u753b\u3092\u30b0\u30ec\u30fc\u30b9\u30b1\u30fc\u30eb\u306b\u5909\u63db\u3057\u3066\u3044\u307e\u3059\u3002
\n\u30fb\uff12\uff17~\uff13\uff11\u884c\u76ee\uff1a\u9854\u3092\u8a8d\u8b58\u3057\u3066\u3044\u307e\u3059\u3002
\n\u30fb\uff13\uff13~\uff13\uff19\u884c\u76ee\uff1a\u9854\u304c\u898b\u3064\u304b\u3063\u305f\u5834\u5408\u306e\u51e6\u7406\u3067\u3059\u3002<\/p>\n
\u5fdc\u7528<\/h5>\n
\u30fb\uff12\uff18~\uff13\uff11\u884c\u76ee\u304c\u9854\u3092\u8a8d\u8b58\u3059\u308b\u305f\u3081\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3067\u3059\u3002\u3044\u308d\u3044\u308d\u6570\u5024\u3092\u3044\u3058\u3063\u3066\u307f\u307e\u3057\u3087\u3046\u3002\u4f8b\u3048\u3070minSize\u306f\u9854\u3068\u3057\u3066\u8a8d\u8b58\u3059\u308b\u6700\u4f4e\u306e\u30b5\u30a4\u30ba\u3067\u3059\u306e\u3067\u3001\u3053\u308c\u3092\u5c0f\u3055\u304f\u3059\u308b\u3068\u3001\u9060\u304f\u306e\u9854\u3082\u8a8d\u8b58\u3055\u308c\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002\u305d\u306e\u304b\u308f\u308a\u3001\u58c1\u306b\u8cbc\u3063\u3066\u3042\u308b\u5199\u771f\u306a\u3069\u3001\u9854\u3058\u3083\u306a\u3044\u3082\u306e\u3092\u8aa4\u8a8d\u8b58\u3059\u308b\u78ba\u7387\u304c\u4e0a\u304c\u3063\u3066\u3057\u307e\u3046\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002<\/p>\n
\n
Tips<\/h5>\n
\u30fbOpenCV\u306eCV\u306fComputer Vision\u306e\u7565\u3067\u3059\u3002<\/p>\n
\u30fb\u3079\u30bc\u30ea\u30fc\u97f3\u58f0\u5bfe\u8a71\u30ad\u30c3\u30c8\u306b\u4ed8\u5c5e\u3057\u3066\u3044\u308bmicroSD\u30ab\u30fc\u30c9\u306b\u306f\u4e88\u3081Open CV\u304c\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u3066\u3044\u307e\u3059\u304c\u3001\u81ea\u5206\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u5834\u5408\u306f\u30b3\u30de\u30f3\u30c9\u30e9\u30a4\u30f3\u304b\u3089\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3092\u6253\u3061\u8fbc\u3093\u3067\u304f\u3060\u3055\u3044\u3002<\/p>\n
$ sudo apt-get install libopencv-dev\n$ sudo apt-get install python-opencv<\/pre>\n
\u30fb\u9014\u4e2d\u3067\u4f55\u304b\u805e\u304b\u308c\u305f\u3089\u300cy\u300d\u3068\u7b54\u3048\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
\u30fb\u3053\u3053\u3067\u306f\u3001\u3079\u30bc\u30ea\u30fc\u306b\u5185\u8535\u3057\u305f\u30ab\u30e1\u30e9\u3067\u4eba\u9593\u306e\u9854\u3092\u8a8d\u8b58\u3055\u305b\u3066\u307f\u307e\u3059\u3002 \u30fb\u9854\u306e\u8a8d\u8b58\u306b\u306f\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e\u753b\u50cf\u51e6\u7406\u30e9\u30a4\u30d6\u30e9\u30ea\u300cOpen CV\uff08Open Source Computer Vision Library\uff09\u300d\u3092\u4f7f\u3044\u307e\u3059\u3002 … “\u30ab\u30e1\u30e9\u3067\u9854\u8a8d\u8b58\u3055\u305b\u3066\u307f\u308b” \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1997","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/bezelie.com\/blog\/index.php?rest_route=\/wp\/v2\/pages\/1997","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/bezelie.com\/blog\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/bezelie.com\/blog\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/bezelie.com\/blog\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/bezelie.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1997"}],"version-history":[{"count":6,"href":"http:\/\/bezelie.com\/blog\/index.php?rest_route=\/wp\/v2\/pages\/1997\/revisions"}],"predecessor-version":[{"id":2696,"href":"http:\/\/bezelie.com\/blog\/index.php?rest_route=\/wp\/v2\/pages\/1997\/revisions\/2696"}],"wp:attachment":[{"href":"http:\/\/bezelie.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1997"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}