多流视频和confidence的问题

[DataXujing]

1. 使用deepstream5.0 python blinding 播多路视频，报错：

   
   Now playing...
   1 :  file:///opt/nvidia/deepstream/deepstream-5.0/MedcareCancer/video/test1.MP4
   2 :  file:///opt/nvidia/deepstream/deepstream-5.0/MedcareCancer/video/normal.mp4
   Starting pipeline 

gstnvtracker: Loading low-level lib at /opt/nvidia/deepstream/deepstream-5.0/lib/libnvds_mot_klt.so gstnvtracker: Optional NvMOT_RemoveStreams not implemented gstnvtracker: Batch processing is OFF gstnvtracker: Past frame output is OFF WARNING: ../nvdsinfer/nvdsinfer_func_utils.cpp:36 [TRT]: Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles 0:00:07.223443314 12126 0xf913230 INFO nvinfer gstnvinfer.cpp:619:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() [UID = 1]: deserialized trt engine from :/opt/nvidia/deepstream/deepstream-5.0/MedcareCancer/yolov5x.engine INFO: ../nvdsinfer/nvdsinfer_model_builder.cpp:685 [Implicit Engine Info]: layers num: 2 0 INPUT kFLOAT data 3x640x640
1 OUTPUT kFLOAT prob 6001x1x1

0:00:07.223534210 12126 0xf913230 WARN nvinfer gstnvinfer.cpp:616:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::checkBackendParams() [UID = 1]: Backend has maxBatchSize 1 whereas 2 has been requested 0:00:07.223548232 12126 0xf913230 WARN nvinfer gstnvinfer.cpp:616:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::generateBackendContext() [UID = 1]: deserialized backend context :/opt/nvidia/deepstream/deepstream-5.0/MedcareCancer/yolov5x.engine failed to match config params, trying rebuild 0:00:07.226341586 12126 0xf913230 INFO nvinfer gstnvinfer.cpp:619:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() [UID = 1]: Trying to create engine from model files Begin cuda engine build... Yolo type is not defined from config file name: ERROR: ../nvdsinfer/nvdsinfer_model_builder.cpp:797 Failed to create network using custom network creation function ERROR: ../nvdsinfer/nvdsinfer_model_builder.cpp:862 Failed to get cuda engine from custom library API 0:00:07.226705404 12126 0xf913230 ERROR nvinfer gstnvinfer.cpp:613:gst_nvinfer_logger: NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::buildModel() [UID = 1]: build engine file failed 0:00:07.226726019 12126 0xf913230 ERROR nvinfer gstnvinfer.cpp:613:gst_nvinfer_logger: NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::generateBackendContext() [UID = 1]: build backend context failed 0:00:07.226738061 12126 0xf913230 ERROR nvinfer gstnvinfer.cpp:613:gst_nvinfer_logger: NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::initialize() [UID = 1]: generate backend failed, check config file settings 0:00:07.226944509 12126 0xf913230 WARN nvinfer gstnvinfer.cpp:809:gst_nvinfer_start: error: Failed to create NvDsInferContext instance 0:00:07.226956569 12126 0xf913230 WARN nvinfer gstnvinfer.cpp:809:gst_nvinfer_start: error: Config file path: config_infer_primary_yoloV5.txt, NvDsInfer Error: NVDSINFER_CONFIG_FAILED Error: gst-resource-error-quark: Failed to create NvDsInferContext instance (1): gstnvinfer.cpp(809): gst_nvinfer_start (): /GstPipeline:pipeline0/GstNvInfer:primary-inference: Config file path: config_infer_primary_yoloV5.txt, NvDsInfer Error: NVDSINFER_CONFIG_FAILED Exiting app

2. 获取box的confidence获取到的值都是： -0.10000000149011612