I need to perform efficient iris segmentation from an eye. I would like to know the expected accuracy and speed of this task on a Jetson device. Additionally, I would appreciate guidance on which model to use and whether it is available in the TAO (Train, Adapt, Optimize) toolkit.
For segmentation network, you can use Mask_rcnn or Unet network.
They are available in TAO.
Thanks for the replay,
Can you please give me an idea about accuracy and speed in the case of UNET and MaskRCNN ?
SOM: Jetson Xavier
THANKS IN ADVANCE :)
You can find the purpose-built models based on these two network in
Can we do any boundary level segmentation with any of the networks like MaskRCNN and UNET or TAO have any other method for that ?
In TAO, there are Mask_rcnn, Unet and SegFormer.
Is there any tool for creating annotation in segmentaion from nvidia side.
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