gopro_opencv.py

import cv2
import numpy as np
from goprocam import GoProCamera
from goprocam import constants
cascPath="/usr/share/opencv/haarcascades/haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(cascPath)
gpCam = GoProCamera.GoPro()
#gpCam.gpControlSet(constants.Stream.BIT_RATE, constants.Stream.BitRate.B2_4Mbps)
#gpCam.gpControlSet(constants.Stream.WINDOW_SIZE, constants.Stream.WindowSize.W480)
cap = cv2.VideoCapture("udp://127.0.0.1:10000")
while True:
    # Capture frame-by-frame
    ret, frame = cap.read()

    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    faces = faceCascade.detectMultiScale(
        gray,
        scaleFactor=1.1,
        minNeighbors=5,
        minSize=(30, 30),
        flags=cv2.CASCADE_SCALE_IMAGE
    )

    # Draw a rectangle around the faces
    for (x, y, w, h) in faces:
        cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
    # Display the resulting frame
    cv2.imshow("GoPro OpenCV", frame)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# When everything is done, release the capture
cap.release()
cv2.destroyAllWindows()