97 lines
3.5 KiB
Python
97 lines
3.5 KiB
Python
# Autor : Rémi Bussiere
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# Date : 03/02/2023
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# Programming language : Python 3.9 encoded in UTF-8
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# In PyCharm
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import cv2
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import mediapipe as mp
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mp_drawing = mp.solutions.drawing_utils
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mp_drawing_styles = mp.solutions.drawing_styles
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mp_face_mesh = mp.solutions.face_mesh
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drawing_spec = mp_drawing.DrawingSpec(thickness=1, circle_radius=1)
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cap = cv2.VideoCapture('X:/video.mp4')
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R = 0
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G = 0
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B = 0
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red = green = blue = 0
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n = 0
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i = 0
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with mp_face_mesh.FaceMesh(
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max_num_faces=1,
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refine_landmarks=True,
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min_detection_confidence=0.5,
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min_tracking_confidence=0.5) as face_mesh:
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while cap.isOpened():
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success, image = cap.read()
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if not success:
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print("Ignoring empty camera frame.")
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# If loading a video, use 'break' instead of 'continue'.
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continue
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i += 1
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# To improve performance, optionally mark the image as not writeable to
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# pass by reference.
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image.flags.writeable = False
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img = cv2.resize(image, (640, 480))
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image = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
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results = face_mesh.process(image)
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# Draw the face mesh annotations on the image.
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image.flags.writeable = False
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image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
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if results.multi_face_landmarks:
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for face_landmarks in results.multi_face_landmarks:
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shape = image.shape
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for landmark in face_landmarks.landmark:
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n += 1
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x = landmark.x
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y = landmark.y
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relative_x = int(x * shape[1])
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relative_y = int(y * shape[0])
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#cv2.circle()
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if relative_x >= shape[0]:
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relative_x = shape[0]-1
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if relative_y >= shape[1]:
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relative_y = shape[1]-1
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B, G, R = img[relative_x, relative_y]
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#cv2.circle(image, [relative_x, relative_y], 3, [int(B), int(G), int(R)], 3)
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red += R
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blue += B
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green += G
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color = [int(blue/n), int(green/n), int(red/n)]
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print(color)
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red = green = blue = n = 0
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#cv2.rectangle(image, [400, 450], [450, 450], [255,255,255], 10)
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#color_hex = '#'+str(hex(color[2])[2:])+str(hex(color[1])[2:])+str(hex(color[0])[2:])
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#cv2.putText(img,str(i), [400,450], cv2.FONT_HERSHEY_PLAIN, 1, color, 2)
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#cv2.text(image, [600, 400], )
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mp_drawing.draw_landmarks(
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image=image,
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landmark_list=face_landmarks,
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connections=mp_face_mesh.FACEMESH_TESSELATION,
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landmark_drawing_spec=None,
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connection_drawing_spec=mp_drawing_styles
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.get_default_face_mesh_tesselation_style())
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'''mp_drawing.draw_landmarks(
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image=image,
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landmark_list=face_landmarks,
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connections=mp_face_mesh.FACEMESH_CONTOURS,
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landmark_drawing_spec=None,
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connection_drawing_spec=mp_drawing_styles
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.get_default_face_mesh_contours_style())
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mp_drawing.draw_landmarks(
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image=image,
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landmark_list=face_landmarks,
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connections=mp_face_mesh.FACEMESH_IRISES,
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landmark_drawing_spec=None,
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connection_drawing_spec=mp_drawing_styles
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.get_default_face_mesh_iris_connections_style())'''
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# Flip the image horizontally for a selfie-view display.
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cv2.imshow('MediaPipe Face Mesh', cv2.flip(image, 1))
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if cv2.waitKey(5) & 0xFF == 27:
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break
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cap.release() |