yoloV4 custom tao deepsteam app inferencing with Triton loaded Model

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) T4
• DeepStream Version 6.0.1
• JetPack Version (valid for Jetson only)
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only) 11.6
• Issue Type( questions, new requirements, bugs)
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)

Below is the config file , i am not able to detect the image




  preprocess {
    network_format: IMAGE_FORMAT_RGB
    tensor_order: TENSOR_ORDER_NONE
    maintain_aspect_ratio: 0
    frame_scaling_hw: FRAME_SCALING_HW_DEFAULT
    frame_scaling_filter: 1
    normalize {
      scale_factor: 1.0
      channel_offsets: [0, 0, 0]
    }
  }

  

  postprocess {
    labelfile_path: "labels.txt"
    detection {
      num_detected_classes: 2
      custom_parse_bbox_func:"NvDsInferParseCustomBatchedNMSTLT"       
nms {
       confidence_threshold: 0.3
        iou_threshold: 0.6
        topk : 100
      }

    }
  } 


  

  extra {
    copy_input_to_host_buffers: false
    output_buffer_pool_size: 2
  }

  custom_lib {

path:"/app/sriharsha/deepstream_tao_apps/post_processor/libnvds_infercustomparser_tao.so"

  }
}
input_control {
  process_mode: PROCESS_MODE_FULL_FRAME
  interval: 0
}
output_control {
  detect_control {
    default_filter { bbox_filter { min_width: 32, min_height: 32 } }
  }
}

Am i missing anything ???

There is no update from you for a period, assuming this is not an issue anymore.
Hence we are closing this topic. If need further support, please open a new one.
Thanks

I see you have similar issue in this topic, Need tao_triton video inference - Intelligent Video Analytics / TAO Toolkit - NVIDIA Developer Forums
did your issue solved or not?

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