nx@xavier:/opt/nvidia/deepstream/deepstream-6.0/sources/deepstream_python_apps-1.1.2/apps/deepstream-test1$ python3 deepstream_test_1.py /opt/nvidia/deepstream/deepstream-6.0/samples/streams/sample_720p.h264 (gst-plugin-scanner:15350): GStreamer-WARNING **: 15:10:12.730: Failed to load plugin '/usr/lib/aarch64-linux-gnu/gstreamer-1.0/deepstream/libnvdsgst_udp.so': librivermax.so.0: cannot open shared object file: No such file or directory (gst-plugin-scanner:15350): GStreamer-WARNING **: 15:10:12.778: Failed to load plugin '/usr/lib/aarch64-linux-gnu/gstreamer-1.0/deepstream/libnvdsgst_inferserver.so': libtritonserver.so: cannot open shared object file: No such file or directory Creating Pipeline Creating Source Creating H264Parser Creating Decoder Creating EGLSink Playing file /opt/nvidia/deepstream/deepstream-6.0/samples/streams/sample_720p.h264 Adding elements to Pipeline Linking elements in the Pipeline Starting pipeline Using winsys: x11 Opening in BLOCKING MODE 0:00:02.856232032 15275 0x32a83670 WARN nvinfer gstnvinfer.cpp:635:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::initialize() [UID = 1]: Warning, OpenCV has been deprecated. Using NMS for clustering instead of cv::groupRectangles with topK = 20 and NMS Threshold = 0.5 ERROR: Deserialize engine failed because file path: /opt/nvidia/deepstream/deepstream-6.0/sources/deepstream_python_apps-1.1.2/apps/deepstream-test1/../../../../samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine open error 0:00:06.354027424 15275 0x32a83670 WARN nvinfer gstnvinfer.cpp:635:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::deserializeEngineAndBackend() [UID = 1]: deserialize engine from file :/opt/nvidia/deepstream/deepstream-6.0/sources/deepstream_python_apps-1.1.2/apps/deepstream-test1/../../../../samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine failed 0:00:06.378288352 15275 0x32a83670 WARN nvinfer gstnvinfer.cpp:635:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::generateBackendContext() [UID = 1]: deserialize backend context from engine from file :/opt/nvidia/deepstream/deepstream-6.0/sources/deepstream_python_apps-1.1.2/apps/deepstream-test1/../../../../samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine failed, try rebuild 0:00:06.378399872 15275 0x32a83670 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() [UID = 1]: Trying to create engine from model files ERROR: Serialize engine failed because of file path: /opt/nvidia/deepstream/deepstream-6.0/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine opened error 0:01:22.894334176 15275 0x32a83670 WARN nvinfer gstnvinfer.cpp:635:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::buildModel() [UID = 1]: failed to serialize cude engine to file: /opt/nvidia/deepstream/deepstream-6.0/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 4x23x40 0:01:22.950563264 15275 0x32a83670 INFO nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus: [UID 1]: Load new model:dstest1_pgie_config.txt sucessfully NvMMLiteOpen : Block : BlockType = 261 NVMEDIA: Reading vendor.tegra.display-size : status: 6 NvMMLiteBlockCreate : Block : BlockType = 261 Frame Number=0 Number of Objects=11 Vehicle_count=7 Person_count=4 Frame Number=1 Number of Objects=8 Vehicle_count=6 Person_count=2 Frame Number=2 Number of Objects=7 Vehicle_count=5 Person_count=2 Frame Number=3 Number of Objects=10 Vehicle_count=7 Person_count=3 Frame Number=4 Number of Objects=9 Vehicle_count=6 Person_count=3 Frame Number=5 Number of Objects=9 Vehicle_count=7 Person_count=2 Frame Number=6 Number of Objects=10 Vehicle_count=6 Person_count=4 Frame Number=7 Number of Objects=12 Vehicle_count=8 Person_count=4 Frame Number=8 Number of Objects=10 Vehicle_count=7 Person_count=3