• Hardware Platform (Jetson / GPU)
We are using AWS instance(g4dn.4xlarge) with T4 GPU with RDP setup( so that display export is not and issue)
• DeepStream Version
DeepStream 5.1
• TensorRT Version
TensorRT 7.2.3.4
• NVIDIA GPU Driver Version (valid for GPU only)
Nvidia Driver 460.32
• Issue Type( questions, new requirements, bugs)
Unable to Run Python Sample Application
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
We were trying to run ‘deepstream-test3’ app from ‘deepstream_python_apps’ repo(from this link: GitHub - NVIDIA-AI-IOT/deepstream_python_apps: DeepStream SDK Python bindings and sample applications).
For this we were using a RTSP stream and this was the command:
“python3 deepstream_test_3.py <RTSP_URL>”
On running this, the program takes in around 5-6 frames and then stops, giving this error:
“gstname= video/x-raw
features= <Gst.CapsFeatures object at 0x7fdffbee84c8 (GstCapsFeatures at 0x7fde6c0f1c20)>
Frame Number= 0 Number of Objects= 0 Vehicle_count= 0 Person_count= 0
Frame Number= 1 Number of Objects= 0 Vehicle_count= 0 Person_count= 0
cuGraphicsGLRegisterBuffer failed with error(304) gst_eglglessink_cuda_init texture = 1
Frame Number= 2 Number of Objects= 0 Vehicle_count= 0 Person_count= 0
Frame Number= 3 Number of Objects= 0 Vehicle_count= 0 Person_count= 0
Frame Number= 4 Number of Objects= 0 Vehicle_count= 0 Person_count= 0
Frame Number= 5 Number of Objects= 0 Vehicle_count= 0 Person_count= 0
0:00:09.186704632 3054 0x2bc7ad0 WARN nvinfer gstnvinfer.cpp:1984:gst_nvinfer_output_loop: error: Internal data stream error.
0:00:09.186720578 3054 0x2bc7ad0 WARN nvinfer gstnvinfer.cpp:1984:gst_nvinfer_output_loop: error: streaming stopped, reason not-negotiated (-4)
Error: gst-stream-error-quark: Internal data stream error. (1): gstnvinfer.cpp(1984): gst_nvinfer_output_loop (): /GstPipeline:pipeline0/GstNvInfer:primary-inference:
streaming stopped, reason not-negotiated (-4)
Exiting app”