• Hardware: NVIDIA RTX A6000
• Network Type: ActionRecognitionNet
• Tao version: 5.3.0
Hello,
I trained action recognition net using the notebook (tao_tutorials/notebooks/tao_launcher_starter_kit/action_recognition_net/actionrecognitionnet.ipynb at main · NVIDIA/tao_tutorials · GitHub) and now I want to deploy it to my edge machine as onnx. The problem is that even though the model says it uses rgb the input shape of the model is 9x224x224. I guess that is because it uses some kind of greyscaling. But I am unable to find any specific information about what preprocessing is used. I tried to look in open source TAO at github (tao_tensorflow1_backend/nvidia_tao_tf1/cv at main · NVIDIA/tao_tensorflow1_backend · GitHub) because I found there a solution for similar question for different model, but I do not see the action recognition model there.
Could you please help me where to find the scripts for action recognition preprocessing?
Thank you in advance
Adam Karásek
2 posts - 2 participants