Bodyposenet from nvidia NGC deployed in Deepstream 6.0 does not return inference output

[adithya.ajith]

We have an application built using python on top of deepstream 6.0 for performing object detection and tracking. After successfully integrating bodyposenet from

wget --content-disposition https://api.ngc.nvidia.com/v2/models/nvidia/tao/bodyposenet/versions/deployable_v1.0.1/zip -O bodyposenet_deployable_v1.0.1.zip

nvidia NGC, PFA for the config file.

While running the deepstream pipeline and looking at the NvDsFrameMeta object, the bInferDone equals to 0 , obj_meta_list isNone and other values related to inference are empty or None.

Why would this happen, please go through the thread and tell me possible solutions ?

bodypose2d_pgie_config.conf (3.0 KB)

[fanzh]

noticed network-type=100 in the cfg, you need to parse output , set bInferDone to 1 after adding meta yourself, please refer to attach_metadata_detector.

[adithya.ajith]

Where should I look at to get the model output and parse it ?

[fanzh]

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

please refer to deepsream SDK sample deepstream-infer-tensor-meta-test, there is network-type=100 in configuration file, parsing function is in function pgie_pad_buffer_probe.
here is a bodypose2d sample: deepstream_tao_apps/apps/tao_others/deepstream-bodypose2d-app at master · NVIDIA-AI-IOT/deepstream_tao_apps · GitHub