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I'm trying to use a webcam plunged into a Jetson Xavier NX so as to use it for obstacle detection for blind people but I don't know which pipeline to use with Gstreamer so as to capture image on this webcam. Here's my code using OpenCV and Python below thanks in advance
while True: #boucle infinie
ret, frame = cam.read() #on met l'image capturée par la camera dans la variable frame
if not ret:
break
cv2.imshow('myCam', frame) #on affiche la frame, grâce à la boucle infinie ça devient une video (succesion d'images)
cv2.moveWindow('myCam',0,0) #On bouge la fenêtre
if cv2.waitKey(1) == ord('q'): #Si on appuie sur q on quitte la boucle (plus propre que ctrl + c)
break
cam.release()
cv2.destroyAllWindows()
`
The text was updated successfully, but these errors were encountered:
I'm trying to use a webcam plunged into a Jetson Xavier NX so as to use it for obstacle detection for blind people but I don't know which pipeline to use with Gstreamer so as to capture image on this webcam. Here's my code using OpenCV and Python below thanks in advance
`
coding=utf-8
import cv2
print(cv2.version)
width = 800
height = 600
flip = 2
#camSet = 'udpsrc port=5000 caps = "application/x-rtp, media=(string)video, clock-rate=(int)90000, encoding-name=(string)H264, payload=(int)96" ! rtph264depay ! decodebin ! videoconvert ! appsink'
camSet = 'videotestsrc ! video/x-raw,framerate=20/1 ! videoscale ! videoconvert ! appsink'
#camSet = 'appsrc ! videoconvert ! x264enc tune=zerolatency bitrate=500 speed-preset=superfast ! rtph264pay ! udpsink host=127.0.0.1 port=5000'
#camSet='nvarguscamerasrc sensor-id=0 ! video/x-raw(memory:NVMM), width=3264, height=2464, framerate=21/1,format=NV12 ! nvvidconv flip-method='+str(flip)+' ! video/x-raw, width='+str(width)+', height='+str(height)+', format=BGRx ! videoconvert ! video/x-raw, format=BGR ! appsink'
cam = cv2.VideoCapture(camSet,cv2.CAP_GSTREAMER)
window_width = 1920
window_height = 1020
print("Nombre de frames par secondes : ")
print(cam.get(cv2.CAP_PROP_FPS))
cam.set(cv2.CAP_PROP_FRAME_WIDTH,window_width)
cam.set(cv2.CAP_PROP_FRAME_HEIGHT,window_height)
if not cam.isOpened():
quit(1)
#else :
print("Success")
while True: #boucle infinie
ret, frame = cam.read() #on met l'image capturée par la camera dans la variable frame
cam.release()
cv2.destroyAllWindows()
`
The text was updated successfully, but these errors were encountered: