I want fast fps custom object detection. Which model should I use for transfer learning?

Dear Sir,

I am new to Jetson Nano, I want to train a custom object detector. I want fast FPS. Which model should I use for transfer learning on my own dataset ?

Moreover, can I train the model on Nano itself (I guess NO). Please provide me any tutorial link.

Thank you

Hi,

You can choose the model based on benchmark result (fps and accuracy) here:

For training, please apply the transfer learning on a desktop GPU.
Thanks.

Thank you @AastaLLL
I have trained SSD Mobile NET V2 using Transfer Learning.

Please provide me link from where I can convert it into tensorRT model.

Will Tensor RT affect it’s accuracy ?

Moreover for conversion, should I use Desktop or Nano itself ?

Thanks

Hi,

In general, TensorRT won’t affect accuracy.
For tlt model, you can check this GitHub for the conversion steps to TensorRT engine:

And this conversion need to be applied on Nano directly since the engine is not portable.
Thanks.