Problems trying to stream a video with Jetson Nano

[marscal.dev]

Hello comunity,
I’m developer a project with the proposite is identify a object into video. My sistem recive a video as input, and next with a neural network (model Yolo3) I’m detect the object in images.
As output of my sistem I’m would like do a streaming thats show the video with the object detected
I’m created a file “streamer.py” where i have a class responsible to recive the datas needed to make the streamer work. Into this class I have a variable that recive cv2.VideoWriter

** my pipeline complete: “appsrc ! video/x-raw, format=BGR ! queue ! videoconvert ! video/x-raw,format=RGBA ! nvvidconv ! omxh264enc ! h264parse ! rtph264pay pt=96 config-interval=1 ! udpsink host=”+self.host+" port=“+str(self.port)+” async=false"

I have a problem
I’m having a problem right at the beginning of my program, when I try to open my streamer “self.writer_stream.isOpened()”, I recive as return “False”. With that I can not give segment with the attempt to reproduce the result of the video with the detection of the objects.
Can someone help me?

[DaneLLL]

Hi,
From the code, it is not clear what your source is(Bayer sensor camera, USB camera, or IP camera). There should have one cv2.VideoCapture() and one cv2.VideoWriter() like this sample:
Displaying to the screen with OpenCV and GStreamer - #9 by DaneLLL

Please share information about the input source so that we can suggest next.

And we have demonstration of Yolo models in DeepStream SDK. You may also take a look and give it a try.