• Network Type : BodyPoseNet
I was proceeded with reference to TAO Toolkit 4.0 and now I succeeded in the Inference part of BodyPoseNet.
But In this process, I have a question.
(I’m currently conducting the Inference of bodyposeNet using the pretrained model)
The sample file runs the model by receiving the image, but how do I receive the video and run the pose estimation right away?
!tao bpnet inference --inference_spec $SPECS_DIR/infer_spec.yaml
(In the inference code, Just many image paths are in the viz_example_data.json)
If I export the model to .etlt and generate TensorRT engine to another tool, can I use video by input data?
Is there a way to deal with real time data?
Refer to deepstream_tao_apps/apps/tao_others at master · NVIDIA-AI-IOT/deepstream_tao_apps · GitHub explanation,
chmod 755 download_models.sh
export TAO_CONVERTER=the file path of tao-converter
Where is tao-converter? Do I have to download it another way?
I just have pretrained model(bodyposenet_vdeployable_v1.0.1-model.etlt)
export CUDA_VER=cuda version in the device
I confirmed that tao-converter works normally after downloading. However, when I run “make” in the “Build the application” process, the following error occurs.
The error says “fatal error: NvCaffeParser.h : There is no file or directory”
When I looked for the location of this file, I confirmed that it was in the docker container log that I used before. Currently, I have downloaded deepstream 6.1.1 and run it in a local environment. Do I have to open Docker to proceed with the Github method?
You did not run inside any docker, right?
Did you install TensorRT?
You can try to run with a Tensorrt docker or deepstream docker.
No, I didn’t run inside docker. I installed TensorRT and try to initialize deepstream but the same error occurs. I am referring to these two sites.
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.
Please refer to Error while building deepstream_tlt_apps - #6 by octa.marian .
Again, please double check the TensorRT installation.
This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.