Please provide complete information as applicable to your setup.
•Hardware Platform ( GPU) ：GeForce GTX 1660
•DeepStream Version ：deepstream-5.0_5.0.0-1_amd64.deb
•TensorRT Version： trt188.8.131.52
•NVIDIA GPU Driver Version ：NVIDIA-SMI 440.33.01
• CUDNN Version：7.6.5
• Issue Type( questions, new requirements, bugs)： questions
• 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)
command used is as below.
- cd /opt/nvidia/deepstream/deepstream/sources/apps/sample_apps/deepstream-test3/
- ./deepstream-test3-app file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4
I am trying to run deepstream-test3-app with video. I can not get it to work normally. The output of demo is shown as below.
Now playing: file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4,
libEGL warning: DRI2: failed to authenticate
WARNING: …/nvdsinfer/nvdsinfer_func_utils.cpp:34 [TRT]: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
0:00:01.023123404 31307 0x556eff8c5100 INFO nvinfer gstnvinfer.cpp:602:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1577> [UID = 1]: deserialized trt engine from :/opt/nvidia/deepstream/deepstream-5.0/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine
INFO: …/nvdsinfer/nvdsinfer_model_builder.cpp:685 [Implicit Engine Info]: layers num: 3
0 INPUT kFLOAT input_1 3x368x640
1 OUTPUT kFLOAT conv2d_bbox 16x23x40
2 OUTPUT kFLOAT conv2d_cov/Sigmoid 4x23x40
0:00:01.023162946 31307 0x556eff8c5100 INFO nvinfer gstnvinfer.cpp:602:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:1681> [UID = 1]: Use deserialized engine model: /opt/nvidia/deepstream/deepstream-5.0/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine
0:00:01.023631034 31307 0x556eff8c5100 INFO nvinfer gstnvinfer_impl.cpp:311:notifyLoadModelStatus: [UID 1]: Load new model:dstest3_pgie_config.txt sucessfully
Decodebin child added: source
Decodebin child added: decodebin0
Decodebin child added: qtdemux0
Decodebin child added: multiqueue0
Decodebin child added: h264parse0
Decodebin child added: capsfilter0
Decodebin child added: aacparse0
Decodebin child added: avdec_aac0
Decodebin child added: nvv4l2decoder0
cuGraphicsGLRegisterBuffer failed with error(304) gst_eglglessink_cuda_init texture = 1
Frame Number = 0 Number of objects = 6 Vehicle Count = 4 Person Count = 2
0:00:01.234093157 31307 0x556eff3f8ca0 WARN nvinfer gstnvinfer.cpp:1946:gst_nvinfer_output_loop: error: Internal data stream error.
0:00:01.234101349 31307 0x556eff3f8ca0 WARN nvinfer gstnvinfer.cpp:1946:gst_nvinfer_output_loop: error: streaming stopped, reason not-negotiated (-4)
ERROR from element primary-nvinference-engine: Internal data stream error.
Error details: gstnvinfer.cpp(1946): gst_nvinfer_output_loop (): /GstPipeline:dstest3-pipeline/GstNvInfer:primary-nvinference-engine:
streaming stopped, reason not-negotiated (-4)
Returned, stopping playback
Frame Number = 1 Number of objects = 5 Vehicle Count = 3 Person Count = 2
Frame Number = 2 Number of objects = 5 Vehicle Count = 3 Person Count = 2
Frame Number = 3 Number of objects = 6 Vehicle Count = 4 Person Count = 2
Frame Number = 4 Number of objects = 7 Vehicle Count = 4 Person Count = 3
Frame Number = 5 Number of objects = 6 Vehicle Count = 4 Person Count = 2
Frame Number = 6 Number of objects = 5 Vehicle Count = 3 Person Count = 2
Before this, I have run sucessfully this demo in jetson nano with deepstrem 5.0. However, curious about how to use deepstream5.0 in x86 platform with gpu.
Please help me out.