{"id":218,"date":"2022-04-01T12:10:27","date_gmt":"2022-04-01T03:10:27","guid":{"rendered":"https:\/\/is-ai.jp\/?p=218"},"modified":"2022-04-01T09:38:22","modified_gmt":"2022-04-01T00:38:22","slug":"%e3%80%90python%e3%80%91web%e3%82%ab%e3%83%a1%e3%83%a9%e3%81%ae%e6%98%a0%e5%83%8f%e3%81%ab%e7%9b%ae%e3%81%ae%e5%91%a8%e5%9b%b2%e3%81%a0%e3%81%91%e8%87%aa%e5%8b%95%e3%81%a7%e3%83%a2%e3%82%b6%e3%82%a4","status":"publish","type":"post","link":"https:\/\/is-ai.jp\/?p=218","title":{"rendered":"\u3010python\u3011web\u30ab\u30e1\u30e9\u306e\u6620\u50cf\u306b\u76ee\u306e\u5468\u56f2\u3060\u3051\u81ea\u52d5\u3067\u30e2\u30b6\u30a4\u30af"},"content":{"rendered":"\n<p><\/p>\n\n\n\n<h4 class=\"wp-block-heading\">\u306f\u3058\u3081\u306b<\/h4>\n\n\n\n<p>Python\u3067\u81ea\u52d5\u30e2\u30b6\u30a4\u30af\u7b49\u8abf\u3079\u308b\u3068opencv\u3067\u9854\u306e\u691c\u51fa\u3092\u3057\u3066\u3044\u308b\u3082\u306e\u304c\u591a\u3044\u304c\u3001\u81ea\u5206\u81ea\u8eab\u306f\u9854\u306e\u691c\u51fa\u306bdlib\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u591a\u3044\u3067\u3059\u3002<\/p>\n\n\n\n<p>dlib\u306f\u7cbe\u5ea6\u3082\u9ad8\u304f\u3001\u9854\u306e\u30e9\u30f3\u30c9\u30de\u30fc\u30af\u304c\u53d6\u5f97\u3067\u304d\u308b\u305f\u3081\u3001\u4eca\u56de\u306e\u3088\u3046\u306a\u76ee\u3060\u3051\u30e2\u30b6\u30a4\u30af\u3092\u5165\u308c\u308b\u51e6\u7406\u3082\u5bb9\u6613\u306b\u53ef\u80fd\u3068\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>Dlib\u306e\u4f7f\u3044\u65b9\u306f\u4ee5\u4e0b\u306e\u30b5\u30a4\u30c8\u304c\u53c2\u8003\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/qiita.com\/mimitaro\/items\/bbc58051104eafc1eb38\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/qiita.com\/mimitaro\/items\/bbc58051104eafc1eb38<\/a><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<h4 class=\"wp-block-heading\">\u7d50\u679c<\/h4>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/is-ai.jp\/wp-content\/uploads\/2022\/03\/demo.mp4\"><\/video><figcaption>\u5143\u52d5\u753b<\/figcaption><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/is-ai.jp\/wp-content\/uploads\/2022\/03\/output.mov\"><\/video><figcaption>\u30e2\u30b6\u30a4\u30af\u6e08\u307f<\/figcaption><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<h4 class=\"wp-block-heading\">\u30b3\u30fc\u30c9<\/h4>\n\n\n\n<div class=\"hcb_wrap\"><pre class=\"prism line-numbers lang-python\" data-file=\"app.py\" data-lang=\"Python\"><code># -*- coding: utf-8 -*-\nfrom face import Face\nimport cv2\nfrom PIL import Image, ImageDraw\nimport numpy as np\n\ndef mosaic(img, ratio=0.1):\n    small = cv2.resize(img, None, fx=ratio, fy=ratio, interpolation=cv2.INTER_NEAREST)\n    return cv2.resize(small, img.shape[:2][::-1], interpolation=cv2.INTER_NEAREST)\n\n\n# \u5de6\u4e0a\u306e\u5ea7\u6a19, \u53f3\u4e0b\u306e\u5ea7\u6a19\ndef mosaic_area(img, x1, y1, x2, y2, ratio=0.1):\n    cp = img.copy()\n    cp[y1:y2, x1:x2] = mosaic(cp[y1:y2, x1:x2], ratio)\n    return cp\n\n\ndef main():\n  face_detecter = Face()\n  capture = cv2.VideoCapture(0)\n\n  while(capture.isOpened()):\n    ret, frame = capture.read()\n    shape = face_detecter.get_face_point(frame)\n\n    if not shape is None:\n      frame = mosaic_area(frame, shape[17][0], shape[19][1], shape[26][0], shape[30][1], ratio=0.05)\n\n    cv2.imshow(&#39;frame&#39;, frame)\n\n    if cv2.waitKey(1) & 0xFF == ord(&#39;q&#39;):\n      break\n\n  capture.release()\n  cv2.destroyAllWindows()\n\nif __name__ == &quot;__main__&quot;:\n  main()<\/code><\/pre><\/div>\n\n\n\n<div class=\"hcb_wrap\"><pre class=\"prism line-numbers lang-python\" data-file=\"face.py\" data-lang=\"Python\"><code># -*- coding: utf-8 -*-\nimport cv2\nimport dlib\nfrom imutils import face_utils\n\n\nclass Face():\n  def __init__(self):\n    self.detector = dlib.get_frontal_face_detector() #\u9854\u691c\u51fa\u5668\u306e\u547c\u3073\u51fa\u3057.\u305f\u3060\u9854\u3060\u3051\u3092\u691c\u51fa\u3059\u308b\n    self.load_model()\n  \n  def load_model(self, path=&quot;.\/model\/shape_predictor_68_face_landmarks.dat&quot;):\n    try:\n      self.predictor = dlib.shape_predictor(path) #\u9854\u304b\u3089\u76ee\u9f3b\u306a\u3069\u30e9\u30f3\u30c9\u30de\u30fc\u30af\u3092\u51fa\u529b\u3059\u308b\n    except Exception as e:\n      raise ValueError(&#39;can not load predict model.&#39;)\n\n  def get_face_point(self, frame):\n    gray = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY) #gray scale\u306b\u5909\u63db\u3059\u308b\n    rects = self.detector(gray, 0) #gray\u304b\u3089\u9854\u3092\u691c\u51fa\n\n    if not rects:\n      return \n\n    else:\n      #\u9854\u304c\u8a8d\u8b58\u3067\u304d\u308c\u3070\u30dd\u30a4\u30f3\u30c8\u3092\u7279\u5b9a\n      shape = self.predictor(gray, rects[0])\n      shape = face_utils.shape_to_np(shape)\n      return shape<\/code><\/pre><\/div>\n\n\n\n<p class=\"has-small-font-size\">\u30e2\u30b6\u30a4\u30af\u306e\u30b3\u30fc\u30c9\u306f\u3053\u3061\u3089\u3092\u4f7f\u7528\u3057\u3066\u3044\u307e\u3059\u3002<a rel=\"noreferrer noopener\" href=\"https:\/\/note.nkmk.me\/python-opencv-mosaic\/\" target=\"_blank\">https:\/\/note.nkmk.me\/python-opencv-mosaic\/<\/a><\/p>\n\n\n\n<p><\/p>\n\n\n\n<h4 class=\"wp-block-heading\">\u304a\u308f\u308a\u306b<\/h4>\n\n\n\n<p>\u73fe\u5728\u4f5c\u6210\u4e2d\u306e\u8a18\u4e8b\u3067\u9854\u3092\u6620\u3055\u306a\u304d\u3083\u3044\u3051\u306a\u305d\u3046\u306a\u611f\u3058\u306b\u306a\u3063\u3066\u304d\u305f\u306e\u3067\u3001\u53d6\u308a\u5408\u3048\u305a\u30e2\u30b6\u30a4\u30af\u8cbc\u308c\u308b\u3088\u3046\u306b\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<p>\u4eca\u56de\u306e\u30b3\u30fc\u30c9\u306f1\u4eba\u7528\u306a\u306e\u3067\u8907\u6570\u4eba\u306b\u5bfe\u5fdc\u3057\u305f\u3044\u5834\u5408\u306fFace\u5185\u306erects\u306e\u6271\u3044\u3092\u5909\u3048\u3066\u3042\u3052\u308c\u3070\u826f\u3044\u3067\u3059\u3002<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u306f\u3058\u3081\u306b Python\u3067\u81ea\u52d5\u30e2\u30b6\u30a4\u30af\u7b49\u8abf\u3079\u308b\u3068opencv\u3067\u9854\u306e\u691c\u51fa\u3092\u3057\u3066\u3044\u308b\u3082\u306e\u304c\u591a\u3044\u304c\u3001\u81ea\u5206\u81ea\u8eab\u306f\u9854\u306e\u691c\u51fa\u306bdlib\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u591a\u3044\u3067\u3059\u3002 dlib\u306f\u7cbe\u5ea6\u3082\u9ad8\u304f\u3001\u9854\u306e\u30e9\u30f3\u30c9\u30de\u30fc\u30af\u304c\u53d6\u5f97\u3067\u304d\u308b\u305f\u3081\u3001\u4eca\u56de\u306e\u3088\u3046\u306a\u76ee\u3060\u2026<\/p>\n","protected":false},"author":1,"featured_media":240,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[10],"tags":[7,19,18],"_links":{"self":[{"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/posts\/218"}],"collection":[{"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/is-ai.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=218"}],"version-history":[{"count":8,"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/posts\/218\/revisions"}],"predecessor-version":[{"id":292,"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/posts\/218\/revisions\/292"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/media\/240"}],"wp:attachment":[{"href":"https:\/\/is-ai.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=218"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/is-ai.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=218"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/is-ai.jp\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=218"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}