Trying to run object detection algorithms in jetson nano (ubuntu 18.4) and Gstreamer cannot open the video files because of this warning in the Gstreamer. I have Gstreamer 1.14.5 version. (I tried .avi, .mp4 and .MOV).
It also appeared these warnings:
"Gstreamer warning:unable to start pipeline" and
"Gstreamer warning: Embedded video playback halted; module avidemux0 reported: Internal data stream error."
The code:
if __name__ == '__main__':
args = arg_parse()
confidence = float(args.confidence)
start = 0
CUDA = torch.cuda.is_available()
num_classes = 80
CUDA = torch.cuda.is_available()
videofile = args.video
# start the file video stream thread and allow the buffer to
# start to fill
print("[INFO] starting video file thread...")
fvs = FileVideoStream(videofile).start()
time.sleep(1.0)
# start the FPS timer
fps = FPS().start()
# loop over frames from the video file stream
while fvs.more():
try:
# grab the frame from the threaded video file stream, resize
# it, and convert it to grayscale (while still retaining 3
# channels)
frame = fvs.read()
frame = imutils.resize(frame, width=800)
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
frame = np.dstack([frame, frame, frame])
fps.update()
# stop the timer and display FPS information
fps.stop()
print()
print("[INFO] elasped time: {:.2f}".format(fps.elapsed()))
print("[INFO] approx. FPS: {:.2f}".format(fps.fps()))
print("[INFO] Accuracy: {:.2f}%".format(np.clip((accuracy/(frames+1))*100,1,100)))
PIL_image = Image.fromarray(np.uint8(frame)).convert('RGB')
original_image = PIL_image
# original_image = original_image.convert('RGB')
ret = detect(original_image, min_score=confidence, max_overlap=0.1, top_k=200)
ret = np.asarray(ret)
cv2.imshow("frame", ret)
frames+=1
key = cv2.waitKey(1)
if key & 0xFF == ord('q'):
break
continue
except:
pass
How will i fix it? Thanks.
