Choosing specific point of detected object from box received from ssd_mobilenet_v2 retraining on custom dataset

I’m running custom object detector using retraining process of ssd_mobilenet_v2(object is a pen), retraining process have been done fine, objects are detected and bounding boxes generating. Now i need to get a specific point on the pen - middle point on the top of the pen to simulate robotic arm pick off process, currently edge detection and some image processing/filtering techniques looks encouraging but i want to know if its possible to use/retrain/inference neural network, especially on NVIDIA jetson nano/tensorrt to chose a particular point/pixel on the detected object.

Hi,

In case you don’t know, we do have a library for robotic.
Please check if there is any suitable algorithm for your use case.

Thanks.

Thank you for response, i will try to use DOPE mentioned in Isaac SDK on jetson nano, and let know how that goes.

This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.