Config file path: yolo_config.txt, NvDsInfer Error: NVDSINFER_CUSTOM_LIB_FAILED

Accelerated Computing Intelligent Video Analytics TAO Toolkit
1

I am running my custom model on deepstream using the deepstream-python-apps, and I am getting the following error.

Starting pipeline

0:00:01.374070719 2947229 0x3594b80 INFO nvinfer gstnvinfer.cpp:646:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1909> [UID = 1]: deserialized trt engine from :/opt/nvidia/deepstream/deepstream-6.1/deepstream_python_apps/apps/deepstream-rtsp-in-rtsp-out/yolo.engine
WARNING: [TRT]: The getMaxBatchSize() function should not be used with an engine built from a network created with NetworkDefinitionCreationFlag::kEXPLICIT_BATCH flag. This function will always return 1.
INFO: …/nvdsinfer/nvdsinfer_model_builder.cpp:610 [Implicit Engine Info]: layers num: 3
0 INPUT kFLOAT input 3x512x512
1 OUTPUT kFLOAT boxes 3840x1x4
2 OUTPUT kFLOAT confs 3840x6

ERROR: [TRT]: 3: Cannot find binding of given name: BatchedNMS
0:00:01.404868463 2947229 0x3594b80 WARN nvinfer gstnvinfer.cpp:643:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::checkBackendParams() <nvdsinfer_context_impl.cpp:1876> [UID = 1]: Could not find output layer ‘BatchedNMS’ in engine
0:00:01.404885668 2947229 0x3594b80 INFO nvinfer gstnvinfer.cpp:646:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:2012> [UID = 1]: Use deserialized engine model: /opt/nvidia/deepstream/deepstream-6.1/deepstream_python_apps/apps/deepstream-rtsp-in-rtsp-out/yolo.engine
0:00:01.405119878 2947229 0x3594b80 ERROR nvinfer gstnvinfer.cpp:640:gst_nvinfer_logger: NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::initResource() <nvdsinfer_context_impl.cpp:778> [UID = 1]: Detect-postprocessor failed to init resource because dlsym failed to get func NvDsInferParseCustomYoloV4Tiny pointer
ERROR: nvdsinfer_context_impl.cpp:1074 Infer Context failed to initialize post-processing resource, nvinfer error:NVDSINFER_CUSTOM_LIB_FAILED
ERROR: nvdsinfer_context_impl.cpp:1280 Infer Context prepare postprocessing resource failed., nvinfer error:NVDSINFER_CUSTOM_LIB_FAILED
0:00:01.414277040 2947229 0x3594b80 WARN nvinfer gstnvinfer.cpp:846:gst_nvinfer_start: error: Failed to create NvDsInferContext instance
0:00:01.414305002 2947229 0x3594b80 WARN nvinfer gstnvinfer.cpp:846:gst_nvinfer_start: error: Config file path: yolo_config.txt, NvDsInfer Error: NVDSINFER_CUSTOM_LIB_FAILED
Error: gst-resource-error-quark: Failed to create NvDsInferContext instance (1): gstnvinfer.cpp(846): gst_nvinfer_start (): /GstPipeline:pipeline0/GstNvInfer:primary-inference:
Config file path: yolo_config.txt, NvDsInfer Error: NVDSINFER_CUSTOM_LIB_FAILED

2

Seting bufapi_version

Mismatch in the number of output buffers.Expected 4 output buffers, detected in the network :2
0:00:01.606749362 2947236 0x29918c0 ERROR nvinfer gstnvinfer.cpp:640:gst_nvinfer_logger: NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::fillDetectionOutput() <nvdsinfer_context_impl_output_parsing.cpp:726> [UID = 1]: Failed to parse bboxes using custom parse function
Segmentation fault (core dumped)

3

Please create topic in deepstream forum instead. It is related to deepstream-python-apps.

4

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