How to recognize a face from the image of a person using TK1 board?

how to deploy a deep neural network in TK1 board?

Thanks in advance!
Regards,
Saurabh Pahune

Hi,

It’s NOT recommended to run deep learning use case on the TK1.
Most frameworks require an 64-bit environment but TK1 only support 32-bit.

You can give the vision-based face recognition algorithm a try.
For example: [url]https://realpython.com/face-detection-in-python-using-a-webcam/[/url]

Thanks.

Thanks for an infromation!

Aastall,

do you know how this below features works in TK1 simultaneously or Do I need to change a board for making all below things work parallel?

which framework or process is good to deploy all below features in a en embedded board or any suggestion about an another board?
how will it work?

Features:

1.Body shape recognition: Recognize a person from the shape of his body.
2.Posture recognition: Recognize a person from the posture of his body.
3.Style recognition: Recognize a person from the style of his physical actions (e.g. walking, sitting) and speech (e.g. talking, laughing, crying).

Thanks in advance!

Regards,
Saurabh Pahune

Hi,

Sorry for the late reply.

TK1 is not able to do deep learning based inference.
To have a better recognition result, it is recommended to get a more powerful board.

Some example for your reference: NVIDIA AI IOT · GitHub

Thanks.