Hi! After a few days of trial and error, I decide to reinstall everything from zero and the error changes:
sudo GST_DEBUG=3 python3.8 deepstream_imagedata-multistream.py file:///share_data_deepstream/tao/WH_TAOtest.h264 frame
Frames will be saved in frame
Creating Pipeline
Creating streamux
Creating source_bin 0
Creating source bin
source-bin-00
Creating Pgie
Creating nvvidconv1
Creating filter1
Creating tiler
Creating nvvidconv
Creating nvosd
Creating EGLSink
Adding elements to Pipeline
Linking elements in the Pipeline
Now playing...
1 : file:///share_data_deepstream/tao/WH_TAOtest.h264
Starting pipeline
0:00:00.527023634 2047 0x3efea70 WARN nvinfer gstnvinfer.cpp:643:gst_nvinfer_logger:<primary-inference> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::initialize() <nvdsinfer_context_impl.cpp:1170> [UID = 1]: Warning, OpenCV has been deprecated. Using NMS for clustering instead of cv::groupRectangles with topK = 20 and NMS Threshold = 0.5
ERROR: [TRT]: 1: [stdArchiveReader.cpp::StdArchiveReader::40] Error Code 1: Serialization (Serialization assertion stdVersionRead == serializationVersion failed.Version tag does not match. Note: Current Version: 213, Serialized Engine Version: 232)
ERROR: [TRT]: 4: [runtime.cpp::deserializeCudaEngine::50] Error Code 4: Internal Error (Engine deserialization failed.)
ERROR: ../nvdsinfer/nvdsinfer_model_builder.cpp:1528 Deserialize engine failed from file: /opt/nvidia/deepstream/deepstream-6.1/samples/models/tao_model/resnet18_detector.trt.int8.engine
0:00:01.654741495 2047 0x3efea70 WARN nvinfer gstnvinfer.cpp:643:gst_nvinfer_logger:<primary-inference> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1897> [UID = 1]: deserialize engine from file :/opt/nvidia/deepstream/deepstream-6.1/samples/models/tao_model/resnet18_detector.trt.int8.engine failed
0:00:01.743019611 2047 0x3efea70 WARN nvinfer gstnvinfer.cpp:643:gst_nvinfer_logger:<primary-inference> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:2002> [UID = 1]: deserialize backend context from engine from file :/opt/nvidia/deepstream/deepstream-6.1/samples/models/tao_model/resnet18_detector.trt.int8.engine failed, try rebuild
0:00:01.743371591 2047 0x3efea70 INFO nvinfer gstnvinfer.cpp:646:gst_nvinfer_logger:<primary-inference> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1923> [UID = 1]: Trying to create engine from model files
WARNING: [TRT]: The implicit batch dimension mode has been deprecated. Please create the network with NetworkDefinitionCreationFlag::kEXPLICIT_BATCH flag whenever possible.
ERROR: [TRT]: UffParser: Could not read buffer.
parseModel: Failed to parse UFF model
ERROR: tlt/tlt_decode.cpp:358 Failed to build network, error in model parsing.
ERROR: ../nvdsinfer/nvdsinfer_model_builder.cpp:723 Failed to create network using custom network creation function
ERROR: ../nvdsinfer/nvdsinfer_model_builder.cpp:789 Failed to get cuda engine from custom library API
0:00:02.705357405 2047 0x3efea70 ERROR nvinfer gstnvinfer.cpp:640:gst_nvinfer_logger:<primary-inference> NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1943> [UID = 1]: build engine file failed
ERROR: [TRT]: 2: [logging.cpp::decRefCount::61] Error Code 2: Internal Error (Assertion mRefCount > 0 failed. )
corrupted size vs. prev_size while consolidating
Aborted
Any suggestion on how to follow up this change? Retrain the model?