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トップdlibに関する質問コンパイルが通りません。泣

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2

d

2019/11/25 16:49

投稿

tiitoi
tiitoi

スコア21956

test CHANGED
@@ -48,7 +48,7 @@
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- def face_shape_detector_dlib(img, detector):
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+ def face_shape_detector_dlib(img):
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  img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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@@ -90,62 +90,54 @@
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- def main():
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+ predictor_path = "./shape_predictor_68_face_landmarks.dat"
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- predictor_path = "./shape_predictor_68_face_landmarks.dat"
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+ predictor = dlib.shape_predictor(predictor_path)
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- predictor = dlib.shape_predictor(predictor_path)
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+ detector = dlib.get_frontal_face_detector()
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- detector = dlib.get_frontal_face_detector()
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+ cap = cv2.VideoCapture(0)
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- cap = cv2.VideoCapture(0)
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-
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- count = 0
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+ count = 0
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- while True:
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+ while True:
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- ret, frame = cap.read()
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+ ret, frame = cap.read()
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- frame = imutils.resize(frame, width=500)
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+ frame = imutils.resize(frame, width=500)
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- frame, roi = face_shape_detector_dlib(frame, detector)
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+ frame, roi = face_shape_detector_dlib(frame)
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- cv2.imshow('img', frame)
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+ cv2.imshow('img', frame)
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- if roi is not None :
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+ if roi is not None :
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- cv2.imshow('roi', roi)
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+ cv2.imshow('roi', roi)
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- else :
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+ else :
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- cv2.destroyWindow('roi')
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+ cv2.destroyWindow('roi')
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- c = cv2.waitKey(1)
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+ c = cv2.waitKey(1)
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- if c == 27:#ESCを押してウィンドウを閉じる
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+ if c == 27:#ESCを押してウィンドウを閉じる
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- break
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+ break
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- if c == 32:#spaceで保存
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+ if c == 32:#spaceで保存
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- count += 1
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+ count += 1
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- cv2.imwrite('./filename%03.f'%(count)+'.jpg', roi) #001~連番で保存
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+ cv2.imwrite('./filename%03.f'%(count)+'.jpg', roi) #001~連番で保存
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- print('save done')
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+ print('save done')
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- cap.release()
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+ cap.release()
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- cv2.destroyAllWindows()
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+ cv2.destroyAllWindows()
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- if __name__ == '__main__':
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-
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-
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-
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- main()
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-
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  ```

1

d

2019/11/25 16:49

投稿

tiitoi
tiitoi

スコア21956

test CHANGED
@@ -27,3 +27,125 @@
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  + face_shape_detector_dlib(img):
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  ```
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+
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+
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+
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+ ## 追記
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+
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+
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+
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+ ```python
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+
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+ import cv2
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+
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+ import dlib
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+
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+ import numpy as np
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+
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+ import imutils
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+
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+ from imutils import face_utils
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+
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+
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+
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+ def face_shape_detector_dlib(img, detector):
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+
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+ img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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+
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+ # frontal_face_detectorクラスは矩形, スコア, サブ検出器の結果を返す
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+
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+ dets, scores, idx = detector.run(img_rgb, 0)
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+
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+ if len(dets) > 0:
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+
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+ for i, rect in enumerate(dets):
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+
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+ shape = predictor(img_rgb, rect)
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+
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+ shape = face_utils.shape_to_np(shape)
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+
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+ clone = img.copy()
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+
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+ cv2.putText(clone, "mouth", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
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+
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+ # landmarkを画像に書き込む
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+
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+ for (x, y) in shape[48:68]:
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+
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+ cv2.circle(clone, (x, y), 1, (0, 0, 255), -1)
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+
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+ # shapeで指定した個所の切り取り画像(ROI)を取得
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+
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+ (x, y, w, h) = cv2.boundingRect(np.array([shape[48:68]])) #口の部位のみ切り出し
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+
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+ roi = img[y:y + h, x:x + w]
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+
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+ roi = cv2.resize(roi,(100,100))
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+
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+ return clone, roi
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+
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+ else :
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+
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+ return img, None
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+
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+
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+
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+ def main():
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+
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+ predictor_path = "./shape_predictor_68_face_landmarks.dat"
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+
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+ predictor = dlib.shape_predictor(predictor_path)
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+
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+ detector = dlib.get_frontal_face_detector()
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+
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+ cap = cv2.VideoCapture(0)
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+
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+ count = 0
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+
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+
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+
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+ while True:
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+
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+ ret, frame = cap.read()
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+
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+ frame = imutils.resize(frame, width=500)
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+
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+ frame, roi = face_shape_detector_dlib(frame, detector)
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+
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+ cv2.imshow('img', frame)
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+
117
+ if roi is not None :
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+
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+ cv2.imshow('roi', roi)
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+
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+ else :
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+
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+ cv2.destroyWindow('roi')
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+
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+ c = cv2.waitKey(1)
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+
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+ if c == 27:#ESCを押してウィンドウを閉じる
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+
129
+ break
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+
131
+ if c == 32:#spaceで保存
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+
133
+ count += 1
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+
135
+ cv2.imwrite('./filename%03.f'%(count)+'.jpg', roi) #001~連番で保存
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+
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+ print('save done')
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+
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+ cap.release()
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+
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+ cv2.destroyAllWindows()
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+
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+
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+
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+ if __name__ == '__main__':
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+
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+
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+
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+ main()
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+
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+ ```