• Hardware Platform (Jetson / GPU) Jetson AGX Orin • DeepStream Version 6.1.1 • JetPack Version (valid for Jetson only) 5.0.2 • TensorRT Version 8.4.1 • Issue Type( questions, new requirements, bugs) Bugs
While running it locally, ‘xhost +’ fixed the issue.
But currently the device is running remotely and I’m accessing it through ssh.
I really don’t want to display the video and I’m using ‘fakesink’.
I’ve tried unsetting the DISPLAY also tried setting it to :0 and :1, nothing works.
It’s weird because only render plugin uses display environment. Which demo did you run and how did you change the source code?
Also, please attach the log with GST_DEBUG=3 python3 ......
spotgenius_deepstream_app | No EGL Display
spotgenius_deepstream_app | nvbufsurftransform: Could not get EGL display connection
spotgenius_deepstream_app | WARNING: [TRT]: Using an engine plan file across different models of devices is not recommended and is likely to affect performance or even cause errors.
spotgenius_deepstream_app | Deserialize yoloLayer plugin: yolo
spotgenius_deepstream_app | 0:00:05.059060193 19 0x11219440 INFO nvinfer gstnvinfer.cpp:646:gst_nvinfer_logger:<spotgenius_primary-inference_> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1909> [UID = 1]: deserialized trt engine from :/workspace/model_b1_gpu0_fp16.engine
spotgenius_deepstream_app | 0:00:05.207982837 19 0x11219440 INFO nvinfer gstnvinfer.cpp:646:gst_nvinfer_logger:<spotgenius_primary-inference_> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:2012> [UID = 1]: Use deserialized engine model: /workspace/model_b1_gpu0_fp16.engine
spotgenius_deepstream_app | 0:00:05.234778048 19 0x11219440 ERROR nvinferallocator gstnvinfer_allocator.cpp:102:gst_nvinfer_allocator_alloc: Error: Could not map EglImage from NvBufSurface for nvinfer
spotgenius_deepstream_app | 0:00:05.234819232 19 0x11219440 WARN GST_BUFFER gstbuffer.c:951:gst_buffer_new_allocate: failed to allocate 88 bytes
spotgenius_deepstream_app | 0:00:05.234848384 19 0x11219440 WARN bufferpool gstbufferpool.c:305:do_alloc_buffer:<bufferpool0> alloc function failed
spotgenius_deepstream_app | 0:00:05.234853985 19 0x11219440 WARN bufferpool gstbufferpool.c:338:default_start:<bufferpool0> failed to allocate buffer
spotgenius_deepstream_app | 0:00:05.234859649 19 0x11219440 ERROR bufferpool gstbufferpool.c:559:gst_buffer_pool_set_active:<bufferpool0> start failed
spotgenius_deepstream_app | 0:00:05.234871489 19 0x11219440 WARN nvinfer gstnvinfer.cpp:943:gst_nvinfer_start:<spotgenius_primary-inference_> error: Failed to set buffer pool to active
spotgenius_deepstream_app | 0:00:05.254981281 19 0x11219440 WARN GST_PADS gstpad.c:1142:gst_pad_set_active:<spotgenius_primary-inference_:sink> Failed to activate pad
spotgenius_deepstream_app | INFO:DEEPSTREAM_PIPELINE:End of stream error
spotgenius_deepstream_app | INFO:DEEPSTREAM_PIPELINE:gst-resource-error-quark: Failed to set buffer pool to active (1),/dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvinfer/gstnvinfer.cpp(943): gst_nvinfer_start (): /GstPipeline:pipeline0/GstNvInfer:spotgenius_primary-inference_
@yuweiw This is a custom made code. I’ve tested this code with my local AGX machine and everything is working fine. Currently I’m trying to run it on a remote AGX Orin machine and facing this issue.
@yuweiw Solved the issue. The default value for DISPLAY inside docker is :1. So I think the pipeline is always expecting a display to be there.
I’ve to run unset DISPLAY inside the docker.