Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU)
• DeepStream Version T4
• JetPack Version (valid for Jetson only)
• TensorRT Version 8.2
• 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)
backend {
inputs: [ {
name: "Input"
}]
outputs: [
{name: "BatchedNMS"},
{name: "BatchedNMS_1"},
{name: "BatchedNMS_2"},
{name: "BatchedNMS_3"} ]
preprocess {
network_format: IMAGE_FORMAT_RGB
tensor_order: TENSOR_ORDER_LINEAR
maintain_aspect_ratio: 0
frame_scaling_hw: FRAME_SCALING_HW_DEFAULT
frame_scaling_filter: 1
normalize {
scale_factor: 0.0078125
channel_offsets: [128, 128, 128]
}
}
postprocess {
#labelfile_path: "../../../../samples/trtis_model_repo/ssd_inception_v2_coco_2018_01_28/labels.txt"
#labelfile_path: "../../../samples/trtis_model_repo/ssd_inception_v2_coco_2018_01_28/labels.txt"
labelfile_path: "labels.txt"
detection {
num_detected_classes: 2
custom_parse_bbox_func: "NvDsInferParseCustomYoloV4"
nms {
confidence_threshold: 0.3
iou_threshold: 0.6
topk : 100
}
}
}
custom_lib {
path:"/app/sriharsha/yolov4_deepstream/deepstream_yolov4/nvdsinfer_custom_impl_Yolo/libnvdsinfer_custom_impl_Yolo.so"
}
im getting below error
python3: nvdsparsebbox_Yolo.cpp:139: bool NvDsInferParseCustomYoloV4(const std::vector&, const NvDsInferNetworkInfo&, const NvDsInferParseDetectionParams&, std::vector&): Assertion `boxes.inferDims.numDims == 3’ failed.