質問編集履歴
1
コードの再提示
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### 該当のソースコード
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```python
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import cv2
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import dlib
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import numpy as np
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import os
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K = [977.93097999805309,0.00000000000000,645.97763974817144,0.00000000000000,979.76590271719897,358.70241515058876,0.00000000000000,0.00000000000000,1.00000000000000]
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D = [-0.12590017568789,0.78177975429702,-0.00352001270650,0.00261067326856,-1.50761837519630]
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cam_matrix = np.array(K).reshape(3, 3).astype(np.float32)
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dist_coeffs = np.array(D).reshape(5, 1).astype(np.float32)
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P3D_RIGHT_SIDE = np.float32([-100.0, -77.5, -5.0]) #0
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P3D_GONION_RIGHT = np.float32([-110.0, -77.5, -85.0]) #4
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P3D_MENTON = np.float32([0.0, 0.0, -122.7]) #8
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P3D_GONION_LEFT = np.float32([-110.0, 77.5, -85.0]) #12
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P3D_LEFT_SIDE = np.float32([-100.0, 77.5, -5.0]) #16
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P3D_FRONTAL_BREADTH_RIGHT = np.float32([-20.0, -56.1, 10.0]) #17
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P3D_FRONTAL_BREADTH_LEFT = np.float32([-20.0, 56.1, 10.0]) #26
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P3D_SELLION = np.float32([0.0, 0.0, 0.0]) #27
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P3D_NOSE = np.float32([21.1, 0.0, -48.0]) #30
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P3D_SUB_NOSE = np.float32([5.0, 0.0, -52.0]) #33
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P3D_RIGHT_EYE = np.float32([-20.0, -65.5,-5.0]) #36
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P3D_RIGHT_TEAR = np.float32([-10.0, -40.5,-5.0]) #39
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P3D_LEFT_TEAR = np.float32([-10.0, 40.5,-5.0]) #42
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P3D_LEFT_EYE = np.float32([-20.0, 65.5,-5.0]) #45
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#P3D_LIP_RIGHT = np.float32([-20.0, 65.5,-5.0]) #48
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#P3D_LIP_LEFT = np.float32([-20.0, 65.5,-5.0]) #54
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P3D_STOMION = np.float32([10.0, 0.0, -75.0]) #62
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landmarks_3D = np.float32([P3D_RIGHT_SIDE,
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P3D_GONION_RIGHT,
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P3D_MENTON,
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P3D_GONION_LEFT,
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P3D_LEFT_SIDE,
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P3D_FRONTAL_BREADTH_RIGHT,
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P3D_FRONTAL_BREADTH_LEFT,
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P3D_SELLION,
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P3D_NOSE,
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P3D_SUB_NOSE,
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P3D_RIGHT_EYE,
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P3D_RIGHT_TEAR,
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P3D_LEFT_TEAR,
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P3D_LEFT_EYE,
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P3D_STOMION])
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TRACKED_POINTS = (0, 4, 8, 12, 16, 17, 26, 27, 30, 33, 36, 39, 42, 45, 62)
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def main():
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cap = cv2.VideoCapture(0)
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if not cap.isOpened():
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print("Unable to connect to camera.")
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return
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#Declaring the two classifiers
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dlib_landmarks_file = "./shape_predictor_68_face_landmarks.dat"
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if(os.path.isfile(dlib_landmarks_file)==False):
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print("The dlib landmarks file is missing! Use the following commands to download and unzip: ")
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print(">> wget dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2")
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print(">> bzip2 -d shape_predictor_68_face_landmarks.dat.bz2")
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return
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my_detector = face_landmark_detection.faceLandmarkDetection(dlib_landmarks_file)
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my_face_detector = dlib.get_frontal_face_detector()
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