I am trying to run my maskrcnn model that i retrained using TLT on deepstream.
I already checked that the model is working fine and i ran inference on it using Tensorrt and python after converting it into an engine and it ran fine.
When i tried using deepstream, i ran into the following error:
ERROR: some layers missing or unsupported data types in output tensors
0:02:10.489252872 13142 0x1630c590 ERROR nvinfer gstnvinfer.cpp:613:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::fillDetectionOutput() <nvdsinfer_context_impl_output_parsing.cpp:681> [UID = 1]: Failed to parse bboxes and instance mask using custom parse function
Segmentation fault (core dumped)
I am using the example app provided in the samples/configs/tlt_pretrained_models/ in deepstream directory.
The inference config file is attached as well.
Any help is appreciated, Thank you
config_infer_primary_mrcnn.txt (2.3 KB)
• Hardware Platform: Jetson AGX Xavier
• DeepStream Version: Deepstream 5.1
• JetPack Version (valid for Jetson only): Jetpack 4.5.1
• TensorRT Version: TensorRT 7.1.3