Closed KOOKDONGHUN closed 3 years ago
I followed the tlt flow provided by GitHub.
Docker pool nvcr.io/nvidia/tlt-streamanalytics:v2.0_py3
I was trained in the docker container above.
I trained on Tesla V100 SXM2 32G multi-GPU environment.
Of the cells provided by face-mask-detection.ipynb, all cells except tlt-evaluate and tlt-infer ran without error.
I would like to use the face mask detection model provided by GitHub on jetson nano for real-time inference via webcam.
What docker should i use
I ran tlt-convert but it still failed to create the .engine file.
How do I create .engine file?
@KOOKDONGHUN Did you solve this? If yes, could you please elaborate on the steps.
I followed the tlt flow provided by GitHub.
Docker pool nvcr.io/nvidia/tlt-streamanalytics:v2.0_py3
I was trained in the docker container above.
I trained on Tesla V100 SXM2 32G multi-GPU environment.
Of the cells provided by face-mask-detection.ipynb, all cells except tlt-evaluate and tlt-infer ran without error.
I would like to use the face mask detection model provided by GitHub on jetson nano for real-time inference via webcam.
What docker should i use
I ran tlt-convert but it still failed to create the .engine file.
How do I create .engine file?