import numpy as np?

import CV2

cap = CV2.VideoCapture("/home/nvidia/GAN_Pic03.png")

算法的模型路徑

libHaarCascadePath="/usr/share/openCV4/haarcascades/"

使用“前臉（frontalface）”模型

libHaarCascadeFace="haarcascade_frontalface_default.xml"?

faceCascade = CV2.CascadeClassifier(libHaarCascadePath+libHaarCascadeFace)

_,?

frame = cap.read()?

gray = CV2.cvtColor(frame, CV2.COLOR_BGR2GRAY)?

faces = faceCascade.detectMultiScale(gray, 1.3, 5)?

for (x, y, w, h) in faces:?

print("Detect Face!\n")?

CV2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 2)?

roi_gray = gray[y : y + h, x : x + w]?

roi_color = frame[y : y + h, x : x + w]?

CV2.imshow("Jetson Nano的OpenCV人臉檢測(cè)Demo", frame)?

CV2.waitKey()?

CV2.destroyAllWindows()?

cap.release()