• Hardware Platform (Jetson / GPU) Orin AGX
• DeepStream Version 6.1.1
• JetPack Version (valid for Jetson only) 5.0.2
• TensorRT Version 8.4.1.5
• 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)
I have recently installed DeepStream 6.1.1 with python bindings. After install I tried several of the sample python apps and all worked well.
I have done a lot of tests, some with my own custom pipelines, without any issues until yesterday.
Today, out of the blue, DeepStream stopped working! For example, when I try to run deepstream-test1 app located in
/opt/nvidia/deepstream/deepstream/sources/deepstream_python_apps/apps
using:
$ python deepstream_test_1.py sample_720p.h264
I get the following error:
0:00:50.685985376 8300 0x1a5f2920 WARN nvinfer gstnvinfer.cpp:643:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1950> [UID = 1]: failed to serialize cude engine to file: /opt/nvidia/deepstream/deepstream-6.1/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine
INFO: [Implicit Engine Info]: layers num: 3
0 INPUT kFLOAT input_1 3x368x640
1 OUTPUT kFLOAT conv2d_bbox 16x23x40
2 OUTPUT kFLOAT conv2d_cov/Sigmoid 4x23x40nvbufsurface: Failed to create EGLImage.
0:00:50.873619744 8300 0x1a5f2920 WARN nvinfer gstnvinfer.cpp:943:gst_nvinfer_start: error: Failed to set buffer pool to active
Error: 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:primary-inference