Hi,
Please refer to
[Gstreamer] nvvidconv, BGR as INPUT - #2 by DaneLLL
BGR format is not supported by most hardware engines and need to utilize CPU. May not bring good performance on Jetson Nano.
We have DeepStream SDK for running deep learning inference. By default it demonstrates ResNet10 and
/opt/nvidia/deepstream/deepstream-5.1/sources/objectDetector_FasterRCNN:
config_infer_primary_fasterRCNN.txt labels.txt README
deepstream_app_config_fasterRCNN.txt nvdsinfer_custom_impl_fasterRCNN
/opt/nvidia/deepstream/deepstream-5.1/sources/objectDetector_SSD:
config_infer_primary_ssd.txt nvdsinfer_custom_impl_ssd
deepstream_app_config_ssd.txt README
/opt/nvidia/deepstream/deepstream-5.1/sources/objectDetector_Yolo:
config_infer_primary_yoloV2_tiny.txt deepstream_app_config_yoloV3.txt
config_infer_primary_yoloV2.txt labels.txt
config_infer_primary_yoloV3_tiny.txt nvdsinfer_custom_impl_Yolo
config_infer_primary_yoloV3.txt prebuild.sh
deepstream_app_config_yoloV2_tiny.txt README
deepstream_app_config_yoloV2.txt yolov3-calibration.table.trt7.0
deepstream_app_config_yoloV3_tiny.txt
Would suggest check these demonstrations and replace with Darknet.