Comments (12)
from gaze360.
from gaze360.
Hmm .. I have reproduced the authors code many times and I can confirm that I can reproduce 13.5.
I recommend first downloading the weights provided by the authors and confirm if you can reproduce 13.5. If not, then it indicates some data files might be missing.
from gaze360.
Thank you very much.Inspired by you,I reconfirmed and the result is 13.5.
from gaze360.
Why are pitch and yaw defined in this way?
from gaze360.
The tanh should not be interpreted geometrically. It is a common nonlinearity used in machine learning and we use it to squeeze the output to the range (-1,1). This is then easy to rescale to the range required for yaw (-pi, pi) and pitch (-pi/2, pi/2) angles as seen above.
from gaze360.
from gaze360.
The output is yaw and pitch in polar coordinates which can be converted into 3D direction using
x = sin(yaw) * cos(pitch)
y = sin(pitch)
z = cos(yaw) * cos(pitch)
from gaze360.
Does this 3D direction refer to the coordinates (x, y, z) of the vector in the Cartesian coordinate system?
from gaze360.
Yes, it is a 3D direction in the Cartesian coordinate system of the camera.
from gaze360.
from gaze360.
The gaze vector components (x, y and z).
from gaze360.
Related Issues (20)
- some question about the code HOT 2
- some question about camera calibration HOT 1
- Definition of yaw and pitch HOT 3
- Cross-dataset evaluation HOT 2
- DATASET ACCESS INFORMATION
- how to present the predicted result
- some question about generate ground truth HOT 6
- some error in the traindata HOT 5
- some problem about the predict HOT 9
- An error occurred in the test results HOT 1
- some error in the HOT 1
- Cross dataset evaluation HOT 1
- How to get mean angular errors HOT 1
- how to get gaze label? HOT 1
- Could you tell me setting of gaze360 V2?
- Pitch Yaw angels
- Camera Intrinsics ?
- the range of front 20
- Colab Notebook V2 is not working - Lucid Error
- Unable to download the dataset
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from gaze360.