Comments (3)
swook
commented on August 19, 2024
1
Hi, you can refer to the Zhu and Deng paper from ICCV 2017 for an example of the idea you describe.
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swook
commented on August 19, 2024
Sorry for the delay in responding. The feature-based estimator may work better for calibrated or personalized gaze estimation whereas model-based gaze estimation may work well for cross-dataset evaluations.
The code provided in this repository performs a very naive "model-fitting" and enabling the actual model-fitting method slows the demo down slightly. See https://github.com/swook/GazeML/blob/master/src/elg_demo.py#L275 for where to enable it and https://github.com/swook/GazeML/blob/master/src/models/elg.py#L305 for the actual fitting code.
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tuanphuc
commented on August 19, 2024
Hi @swook ,
AFAIK, the model ouputs the global gaze (gaze in the coordinates of the camera). Global gaze = head pose + local gaze (gaze in the head coordinates). Do you think that it might work if we train the model to output head pose and local gaze instead of global gaze ?
Thanks
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Related Issues (20)
- Theta and Phi
- Train-data parameter in elg-demo file
- Video_out is not defined when using record_video for testing elg demo
- Running demo elg using CPU gives overlapping frame of original image and segmented eye image instead of segmented eye image in top-left corner
- Could you share code to test on different data sets?
- can_use_eye, can_use_eyelid and can_use_iris in elg_demo.py are False HOT 1
- Stuck with --from_video option HOT 3
- Could you please tell me where the pre-training weight should be placed in the Windows system?
- The project only has elg demo. how to run dpg demo
- RuntimeError: Error deserializing object of type int64 while deserializing a floating point number.
- Some questions about the 'unityeyes.py'
- iris_centre is not mean of iris_landmarks?
- About train/test data in MPIIGaze.h5
- Collaboration offer to help progress
- Gaze Vector Accuracy HOT 1
- elgo_demo.py stucks after video is closed HOT 1
- python and tensorflow version
- [TUTORIAL] How to save ELG model to .onnx and further to TensorRT .engine HOT 1
- Long proc time when running elg_demo.py on CPU HOT 1
- Can not get pre-trained weights
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