I am using ESS DNN Stereo Disparity model for my project. The model output is very noisy in case of less texture region.
I have uploaded the stereo images and its disparity map from the model. The camera is placed at a height of 700mm from the ground level.
When i try to convert the disparity to depth map, in PCD file data the noise is very high.
Is this the expected behaviour of the model ? Are there any limitation for the model in case of calculating disparity images?
Thanks in advance!
I don’t think the Android sub-category is the correct area for this post. Since it is very specific regarding computer vision I think you should start in that category.
I took the liberty of moving this post over there.
I am sure someone will be able to assist!
I believe the Isaac ROS Team will be in a better position to offer assistance - so I have added the the tag and also moved this posting.
Hi @gayathri4 and thank you @nadeemm for redirecting here.
We made huge changes to Isaac ROS DNN Stereo Disparty with the new release of Isaac ROS 2.0, have you tried again?
New documentation: NVIDIA Isaac ROS — isaac_ros_docs documentation
Release notes: Release Notes — isaac_ros_docs documentation
Let me know,