# Internal data stream error while running deepstream-test1 **URL:** \ **Category:** DeepStream SDK\ **Created:** [February 15, 2023, 12:56pm UTC](https://forums.developer.nvidia.com/t/internal-data-stream-error-while-running-deepstream-test1/242954 "2023-02-15T12:56:32Z")\ **Posts on this page:** 7\ **Page:** 1
**Author:** ![taresh18](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@taresh18](https://forums.developer.nvidia.com/u/taresh18)\ **Post date:** [February 15, 2023, 12:56pm UTC](https://forums.developer.nvidia.com/t/internal-data-stream-error-while-running-deepstream-test1/242954/1 "2023-02-15T12:56:32Z")
Please provide complete information as applicable to your setup. **• Hardware Platform (Jetson / GPU)** GPU **• DeepStream Version** 6.2 **• TensorRT Version** **• NVIDIA GPU Driver Version (valid for GPU only)** 525.85.05 **• 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)** ./deepstream-test1-app /opt/nvidia/deepstream/deepstream-6.2/samples/streams/sample\_qHD.h264 Hello, I am a beginner and trying to run deepstream-test-1 app with ```auto ./deepstream-test1-app /opt/nvidia/deepstream/deepstream-6.2/samples/streams/sample_qHD.h264 ``` It displays a black screen for a moment and gives the following output ```auto Added elements to bin Using file: /opt/nvidia/deepstream/deepstream-6.2/samples/streams/sample_qHD.h264 libEGL warning: MESA-LOADER: failed to retrieve device information WARNING: [TRT]: CUDA lazy loading is not enabled. Enabling it can significantly reduce device memory usage. See `CUDA_MODULE_LOADING` in https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars WARNING: [TRT]: CUDA lazy loading is not enabled. Enabling it can significantly reduce device memory usage. See `CUDA_MODULE_LOADING` in https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars 0:00:01.862750168 724 0x55d3fd9820a0 INFO nvinfer gstnvinfer.cpp:680:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() [UID = 1]: deserialized trt engine from :/opt/nvidia/deepstream/deepstream-6.2/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine INFO: ../nvdsinfer/nvdsinfer_model_builder.cpp:610 [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 0:00:01.932081111 724 0x55d3fd9820a0 INFO nvinfer gstnvinfer.cpp:680:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() [UID = 1]: Use deserialized engine model: /opt/nvidia/deepstream/deepstream-6.2/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine 0:00:01.934194141 724 0x55d3fd9820a0 INFO nvinfer gstnvinfer_impl.cpp:328:notifyLoadModelStatus: [UID 1]: Load new model:dstest1_pgie_config.txt sucessfully Running... cuGraphicsGLRegisterBuffer failed with error(219) gst_eglglessink_cuda_init texture = 1 Frame Number = 0 Number of objects = 5 Vehicle Count = 4 Person Count = 1 0:00:02.139869467 724 0x55d3fce13700 WARN nvinfer gstnvinfer.cpp:2369:gst_nvinfer_output_loop: error: Internal data stream error. 0:00:02.139894023 724 0x55d3fce13700 WARN nvinfer gstnvinfer.cpp:2369: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(2369): gst_nvinfer_output_loop (): /GstPipeline:dstest1-pipeline/GstNvInfer:primary-nvinference-engine: streaming stopped, reason not-negotiated (-4) Returned, stopping playback Frame Number = 1 Number of objects = 5 Vehicle Count = 4 Person Count = 1 Frame Number = 2 Number of objects = 6 Vehicle Count = 5 Person Count = 1 nvstreammux: Successfully handled EOS for source_id=0 Frame Number = 3 Number of objects = 5 Vehicle Count = 4 Person Count = 1 Frame Number = 4 Number of objects = 5 Vehicle Count = 4 Person Count = 1 Frame Number = 5 Number of objects = 5 Vehicle Count = 4 Person Count = 1 Frame Number = 6 Number of objects = 6 Vehicle Count = 5 Person Count = 1 Deleting pipeline ``` Any idea how to fix this? thanks ---
**Author:** ![yingliu](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/yingliu/32/136703_2.png) [@yingliu](https://forums.developer.nvidia.com/u/yingliu)\ **Post date:** [February 15, 2023, 1:23pm UTC](https://forums.developer.nvidia.com/t/internal-data-stream-error-while-running-deepstream-test1/242954/2 "2023-02-15T13:23:06Z")
What’s the model of your GPU? Are you executing the command from desktop environment on monitor, or execute it remotely via ssh? Please also share how you installed DeepStream6.2, thanks. ---
**Author:** ![taresh18](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@taresh18](https://forums.developer.nvidia.com/u/taresh18)\ **Post date:** [February 15, 2023, 5:07pm UTC](https://forums.developer.nvidia.com/t/internal-data-stream-error-while-running-deepstream-test1/242954/4 "2023-02-15T17:07:34Z")
My GPU is 3050ti (notebook), I am executing the command from desktop environment on monitor. I followed the following steps to install DeepStream6.2 ```auto Verify that you have LATEST nvidia driver installed. Install Docker: sudo apt-get update sudo apt-get upgrade sudo apt install apt-transport-https ca-certificates curl software-properties-common curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add - sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu bionic stable" sudo apt update sudo apt install docker-ce sudo systemctl status docker sudo usermod -aG docker ${USER} Deepstream Docker: sudo apt update distribution=$(. /etc/os-release;echo $ID$VERSION_ID) curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list sudo apt-get update sudo apt-get install -y nvidia-docker2 sudo systemctl restart docker docker pull nvcr.io/nvidia/deepstream:5.0.1-20.09-triton docker images xhost + docker run --gpus all -it --rm -v /home/YOUR USER NAME/deep-workspace:/deep-workspace/ -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=$DISPLAY --security-opt seccomp=unconfined -w /opt/nvidia/deepstream/deepstream-5.0 (f5ed161342f4) <- REPLACE WITH THE ACTUAL DEEPSTREAM ID THAT WE GOT FROM THE DOCKER IMAGES LIST -->From here, we are in the docker: Updates packages (apt-get update/upgrade) \!/ YOU ARE ALREADY IN ROOT MODE, SO NO NEED TO SUDO (otherwise you get sudo not found error) Install software you want (like python..etc) and if you want a graphical IDE, you can install nvidia Nsight: sudo apt-get install -y nvidia-nsight when done, you need to save the docker (because when you quit a docker, it resets). First, open a new terminal from the host machine and do: docker ps this will give you current docker session ID, Then do: docker commit once done, you can exit the container by doing exit To use the new updated container, just do docker images, then do the docker run --gpus all ..Etc command by replacing the last Docker Image id by the new renamed one's. Later on, everytime you finish working, just commit using the same name and it should be good to go. ``` ---
**Author:** ![yuweiw](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/yuweiw/32/101255_2.png) [@yuweiw](https://forums.developer.nvidia.com/u/yuweiw)\ **Post date:** [February 16, 2023, 1:51am UTC](https://forums.developer.nvidia.com/t/internal-data-stream-error-while-running-deepstream-test1/242954/5 "2023-02-16T01:51:41Z")
Could you attach the log by using the `GST_DEBUG=3 ./deepstream-test1-app /opt/nvidia/deepstream/deepstream-6.2/samples/streams/sample_qHD.h264` command? It will show more debug information. Also, if you use Linux OS, you should make sure your laptop is attached to the NVDIA graphics card by default. ---
**Author:** ![taresh18](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@taresh18](https://forums.developer.nvidia.com/u/taresh18)\ **Post date:** [February 16, 2023, 6:48am UTC](https://forums.developer.nvidia.com/t/internal-data-stream-error-while-running-deepstream-test1/242954/6 "2023-02-16T06:48:23Z")
Here is the output ```auto Added elements to bin Using file: /opt/nvidia/deepstream/deepstream-6.2/samples/streams/sample_qHD.h264 libEGL warning: MESA-LOADER: failed to retrieve device information 0:00:00.106918925 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.106937856 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2942:gst_v4l2_object_probe_caps_for_format: Could not probe minimum capture size for pixelformat MJPG 0:00:00.106940801 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.106943472 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2948:gst_v4l2_object_probe_caps_for_format: Could not probe maximum capture size for pixelformat MJPG 0:00:00.106952572 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.106955106 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2942:gst_v4l2_object_probe_caps_for_format: Could not probe minimum capture size for pixelformat AV10 0:00:00.106957079 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.106959631 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2948:gst_v4l2_object_probe_caps_for_format: Could not probe maximum capture size for pixelformat AV10 0:00:00.106965756 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.106968469 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2942:gst_v4l2_object_probe_caps_for_format: Could not probe minimum capture size for pixelformat DVX5 0:00:00.106970605 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.106973740 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2948:gst_v4l2_object_probe_caps_for_format: Could not probe maximum capture size for pixelformat DVX5 0:00:00.106978026 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.106980637 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2942:gst_v4l2_object_probe_caps_for_format: Could not probe minimum capture size for pixelformat DVX4 0:00:00.106982653 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.106987639 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2948:gst_v4l2_object_probe_caps_for_format: Could not probe maximum capture size for pixelformat DVX4 0:00:00.106992651 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.106995212 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2942:gst_v4l2_object_probe_caps_for_format: Could not probe minimum capture size for pixelformat MPG4 0:00:00.106997199 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.107000874 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2948:gst_v4l2_object_probe_caps_for_format: Could not probe maximum capture size for pixelformat MPG4 0:00:00.107005161 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.107007976 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2942:gst_v4l2_object_probe_caps_for_format: Could not probe minimum capture size for pixelformat MPG2 0:00:00.107010517 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.107014626 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2948:gst_v4l2_object_probe_caps_for_format: Could not probe maximum capture size for pixelformat MPG2 0:00:00.107020571 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.107023300 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2942:gst_v4l2_object_probe_caps_for_format: Could not probe minimum capture size for pixelformat H265 0:00:00.107025372 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.107027872 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2948:gst_v4l2_object_probe_caps_for_format: Could not probe maximum capture size for pixelformat H265 0:00:00.107032048 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.107034431 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2942:gst_v4l2_object_probe_caps_for_format: Could not probe minimum capture size for pixelformat VP90 0:00:00.107036438 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.107038716 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2948:gst_v4l2_object_probe_caps_for_format: Could not probe maximum capture size for pixelformat VP90 0:00:00.107042285 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.107044499 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2942:gst_v4l2_object_probe_caps_for_format: Could not probe minimum capture size for pixelformat VP80 0:00:00.107046512 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.107048777 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2948:gst_v4l2_object_probe_caps_for_format: Could not probe maximum capture size for pixelformat VP80 0:00:00.107056579 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.107059234 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2942:gst_v4l2_object_probe_caps_for_format: Could not probe minimum capture size for pixelformat H264 0:00:00.107061290 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.107063985 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2948:gst_v4l2_object_probe_caps_for_format: Could not probe maximum capture size for pixelformat H264 0:00:00.107270671 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.107274613 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2942:gst_v4l2_object_probe_caps_for_format: Could not probe minimum capture size for pixelformat NM12 0:00:00.107278704 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:3057:gst_v4l2_object_get_nearest_size: Unable to try format: Unknown error -1 0:00:00.107281740 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2948:gst_v4l2_object_probe_caps_for_format: Could not probe maximum capture size for pixelformat NM12 0:00:00.107286874 160 0x559a0bfab500 WARN v4l2 gstv4l2object.c:2395:gst_v4l2_object_add_interlace_mode:0x559a0b3b3480 Failed to determine interlace mode WARNING: [TRT]: CUDA lazy loading is not enabled. Enabling it can significantly reduce device memory usage. See `CUDA_MODULE_LOADING` in https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars WARNING: [TRT]: CUDA lazy loading is not enabled. Enabling it can significantly reduce device memory usage. See `CUDA_MODULE_LOADING` in https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars 0:00:01.848794042 160 0x559a0bfab500 INFO nvinfer gstnvinfer.cpp:680:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() [UID = 1]: deserialized trt engine from :/opt/nvidia/deepstream/deepstream-6.2/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine INFO: ../nvdsinfer/nvdsinfer_model_builder.cpp:610 [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 0:00:01.913974387 160 0x559a0bfab500 INFO nvinfer gstnvinfer.cpp:680:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() [UID = 1]: Use deserialized engine model: /opt/nvidia/deepstream/deepstream-6.2/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine 0:00:01.916107657 160 0x559a0bfab500 INFO nvinfer gstnvinfer_impl.cpp:328:notifyLoadModelStatus: [UID 1]: Load new model:dstest1_pgie_config.txt sucessfully 0:00:01.916297482 160 0x559a0bfab500 WARN basesrc gstbasesrc.c:3600:gst_base_src_start_complete: pad not activated yet Running... cuGraphicsGLRegisterBuffer failed with error(219) gst_eglglessink_cuda_init texture = 1 0:00:02.096298091 160 0x559a0b43caa0 ERROR nveglglessink ext/eglgles/gsteglglessink.c:2922:gst_eglglessink_configure_caps: Cuda Init failed 0:00:02.096307896 160 0x559a0b43caa0 ERROR nveglglessink ext/eglgles/gsteglglessink.c:2933:gst_eglglessink_configure_caps: Configuring caps failed 0:00:02.096395910 160 0x559a0b43c980 ERROR nveglglessink ext/eglgles/gsteglglessink.c:2978:gst_eglglessink_setcaps: Failed to configure caps 0:00:02.096458257 160 0x559a0b43c980 ERROR nveglglessink ext/eglgles/gsteglglessink.c:2978:gst_eglglessink_setcaps: Failed to configure caps 0:00:02.096482035 160 0x559a0b43c980 WARN GST_PADS gstpad.c:4231:gst_pad_peer_query: could not send sticky events 0:00:02.096802245 160 0x559a0b43c980 WARN v4l2videodec gstv4l2videodec.c:1836:gst_v4l2_video_dec_decide_allocation: Duration invalid, not setting latency 0:00:02.096820377 160 0x559a0b43c980 WARN v4l2bufferpool gstv4l2bufferpool.c:1082:gst_v4l2_buffer_pool_start: Uncertain or not enough buffers, enabling copy threshold 0:00:02.097028938 160 0x7f8ec042dc60 ERROR nveglglessink ext/eglgles/gsteglglessink.c:2978:gst_eglglessink_setcaps: Failed to configure caps 0:00:02.097301113 160 0x7f8ec042dcc0 WARN v4l2bufferpool gstv4l2bufferpool.c:1533:gst_v4l2_buffer_pool_dqbuf: Driver should never set v4l2_buffer.field to ANY 0:00:02.097328485 160 0x7f8ec042dcc0 ERROR nveglglessink ext/eglgles/gsteglglessink.c:2978:gst_eglglessink_setcaps: Failed to configure caps 0:00:02.097920451 160 0x7f8ec042dc60 ERROR nveglglessink ext/eglgles/gsteglglessink.c:2978:gst_eglglessink_setcaps: Failed to configure caps 0:00:02.097933121 160 0x7f8ec042dc60 ERROR nveglglessink ext/eglgles/gsteglglessink.c:2978:gst_eglglessink_setcaps: Failed to configure caps 0:00:02.097937402 160 0x7f8ec042dc60 ERROR nveglglessink ext/eglgles/gsteglglessink.c:2978:gst_eglglessink_setcaps: Failed to configure caps 0:00:02.098147323 160 0x7f8ec042dc60 ERROR nveglglessink ext/eglgles/gsteglglessink.c:2978:gst_eglglessink_setcaps: Failed to configure caps 0:00:02.098156707 160 0x7f8ec042dc60 ERROR nveglglessink ext/eglgles/gsteglglessink.c:2978:gst_eglglessink_setcaps: Failed to configure caps 0:00:02.098161090 160 0x7f8ec042dc60 ERROR nveglglessink ext/eglgles/gsteglglessink.c:2978:gst_eglglessink_setcaps: Failed to configure caps Frame Number = 0 Number of objects = 5 Vehicle Count = 4 Person Count = 1 0:00:02.107657739 160 0x559a0b43cb00 ERROR nveglglessink ext/eglgles/gsteglglessink.c:2978:gst_eglglessink_setcaps: Failed to configure caps 0:00:02.107701491 160 0x559a0b43cb00 WARN nvinfer gstnvinfer.cpp:2369:gst_nvinfer_output_loop: error: Internal data stream error. 0:00:02.107705832 160 0x559a0b43cb00 WARN nvinfer gstnvinfer.cpp:2369: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(2369): gst_nvinfer_output_loop (): /GstPipeline:dstest1-pipeline/GstNvInfer:primary-nvinference-engine: streaming stopped, reason not-negotiated (-4) Returned, stopping playback Frame Number = 1 Number of objects = 5 Vehicle Count = 4 Person Count = 1 Frame Number = 2 Number of objects = 6 Vehicle Count = 5 Person Count = 1 0:00:02.113787107 160 0x559a0b43c980 WARN baseparse gstbaseparse.c:3666:gst_base_parse_loop: error: Internal data stream error. 0:00:02.113802148 160 0x559a0b43c980 WARN baseparse gstbaseparse.c:3666:gst_base_parse_loop: error: streaming stopped, reason not-negotiated (-4) nvstreammux: Successfully handled EOS for source_id=0 Frame Number = 3 Number of objects = 5 Vehicle Count = 4 Person Count = 1 Frame Number = 4 Number of objects = 5 Vehicle Count = 4 Person Count = 1 Frame Number = 5 Number of objects = 5 Vehicle Count = 4 Person Count = 1 Frame Number = 6 Number of objects = 6 Vehicle Count = 5 Person Count = 1 Deleting pipeline ``` For the second part of the question, I ran `sudo prime-select nvidia` before running the deepstream docker container. Here is the output of nvidia-smi within the docker container ```auto Thu Feb 16 06:54:16 2023 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 525.85.05 Driver Version: 525.85.05 CUDA Version: 12.0 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 NVIDIA GeForce ... Off | 00000000:01:00.0 Off | N/A | | N/A 50C P8 8W / 80W | 3MiB / 4096MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| +-----------------------------------------------------------------------------+ ``` ---
**Author:** ![yuweiw](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/yuweiw/32/101255_2.png) [@yuweiw](https://forums.developer.nvidia.com/u/yuweiw)\ **Post date:** [February 17, 2023, 2:22am UTC](https://forums.developer.nvidia.com/t/internal-data-stream-error-while-running-deepstream-test1/242954/7 "2023-02-17T02:22:42Z")
**There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks** From the log `cuGraphicsGLRegisterBuffer failed with error(219)`, you may not install the nvidia opengl. You can try to reinstall driver with nvidia opengl. Also, please pay attension to other relevant dependencies： [https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS\_Quickstart.html?highlight=compatibility#id6](https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_Quickstart.html?highlight=compatibility#id6) ---
**Author:** ![system](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/system/32/68080_2.png) [@system](https://forums.developer.nvidia.com/u/system)\ **Post date:** [March 20, 2023, 6:10am UTC](https://forums.developer.nvidia.com/t/internal-data-stream-error-while-running-deepstream-test1/242954/9 "2023-03-20T06:10:26Z")
Closed on March 20, 2023, 6:10am UTC This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.