我使用此代碼從面部檢測 468 個面部標志：
import cv2
import mediapipe as mp
import time
cap = cv2.VideoCapture(0)
pTime = 0
mpDraw = mp.solutions.drawing_utils
mpFaceMesh = mp.solutions.face_mesh
faceMesh = mpFaceMesh.FaceMesh(max_num_faces=2)
drawSpec = mpDraw.DrawingSpec(thickness=1, circle_radius=2)
while True:
success, img = cap.read()
imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
results = faceMesh.process(imgRGB)
if results.multi_face_landmarks:
for faceLms in results.multi_face_landmarks:
mpDraw.draw_landmarks(img, faceLms, mpFaceMesh.FACEMESH_CONTOURS,
drawSpec,drawSpec)
for id,lm in enumerate(faceLms.landmark):
#print(lm)
ih, iw, ic = img.shape
x,y = int(lm.x*iw), int(lm.y*ih)
print(id,x,y)
cTime = time.time()
fps = 1 / (cTime - pTime)
pTime = cTime
cv2.putText(img, f'FPS: {int(fps)}', (20, 70), cv2.FONT_HERSHEY_PLAIN,
3, (255, 0, 0), 3)
cv2.imshow("Image", img)
cv2.waitKey(1)
當我運行這個腳本時，我可以看到列印在我臉上的面部標志，但我想要實作的是我在黑色背景上顯示面部標志而不實際顯示面部。
我怎樣才能做到這一點？
uj5u.com熱心網友回復：
您可以創建具有與相機捕獲的幀相同尺寸的暗（黑色）像素 (0) 的影像。并在那里執行你的圖紙
# create the dark image
black = np.zeros(img.shape , np.uint8)
# Replace the `img` with `black` while drawing the landmarks
mpDraw.draw_landmarks(black, faceLms, mpFaceMesh.FACEMESH_CONTOURS, drawSpec,drawSpec)
# Display the result
cv2.imshow("Result", black)
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