Rasmus Jones

Not a full integration yet, but I am working towards it :) See here: https://github.com/Rassibassi/aws-cdk-chalice-react-rds-postgres-cognito

Great question, this was at the very end of me experimenting with this model before finishing off my PhD, so things are not 100% complete, but let me start by...

Before I delve into the specifics, I want to highlight that these topics are quite extensive and multifaceted. My explanation will provide a high-level overview and will touch on the...

It seems there has been a confusion regarding the version of the system you were examining. The appropriate version, which includes active training, can be found here: `examples/tf_wdmSystem-learning.html` [View the...

Yes, due to limitations in computational resources and the limited personal time I could dedicate post-PhD

If you say meaningful, then you mean the error rate is too high for actually being a robust transmission? The simulated transmission distance is quite far for a constellation order...

If we're aiming for a system that can be deployed, focusing on error rates is crucial. However, if our goal is to demonstrate state-of-the-art shaping gains in both linear and...

Hi, it seems like you are looking for a face patch normalization depending on the head rotation as proposed [here](https://www.mpi-inf.mpg.de/departments/computer-vision-and-machine-learning/research/gaze-based-human-computer-interaction/revisiting-data-normalization-for-appearance-based-gaze-estimation/). However, I think it is cleaner to have a facial...

I also have the face patch normalization algorithm lying around if you are interested in that, I can dig that one out, too :)

Then the result of cv2.solvePnP or the pose_transform_mat is what you are looking for. They are the same, and they define a rotation/translation connecting the inferred face mesh points with...