Thanks for your support. I have successfully merged all your code and now I can retrieve masks and also get depth in the specified region.
I have put the working code in the following repository. You can navigate others in need of this to this repo. Thanks
Your method for instance segmentation works for me but I also need depth.
The depthai-sdk has MobilenetSpatialDetections and YoloSpatialDetections which gives the z-axis value. I want to achieve a similar one for segmentation. Something like YoloSpatialSegments which is not yet implemented.
Could you please provide more information on how to get the depth of the segmented object?
Thanks in advance.
Does that also give us the depth calibrated distance?
Greetings @erik ,
I have an Oak D Pro Poe device. I want to run my yolov8 instance segmentation model trained on my custom dataset. But at the same time I want to get the depth distance from the object detected.
I followed the steps from the discussion (link) and able to run the segment model with output but the inference is found to be slow. Also, there doesn't seem to be a Spatial detection to get the depth.
I would like to know whether the depthai-sdk has support for any other instance segmentation model which also returns depth.
Note: I would like to run inference on a model trained with custom dataset.
@LucasRambo Did you find a way to run yolo segment models on Oak devices?
Hi @daniqsilva @JanCuhel ,
Did you find an alternate approach to run instance segmentation models in the OAK devices? Is there any other model architecture that is supported by oak (which can be loaded with a model trained on custom data)? I also want to get the depth (z - axis) value along with the center (X, Y) points and segmentation masks array. By when could the on device support for yolo segment models be included @JanCuhel ?
