How to use this collected data in personalized calibration

[DanielC-MST]

Hi, I would like to check after this gaze-data collection. I got a CSV file including file_name， point_on_screen, time_till_capture, monitor_mm, and monitor_pixels. But I don't know how to use these data to calibrate in the gaze-tracking pipeline (https://github.com/pperle/gaze-tracking-pipeline).

[losemankim]

may be use this https://github.com/pperle/gaze-tracking

[hshahid]

@DanielC-MST did you manage to figure this out? I'm stuck on the same problem

[hshahid]

@pperle Any chance you can help out here? I have the csv file same as @DanielC-MST but not sure how to use it. :(

[emrecolak55]

I'm stuck on the same. How can we use this csv in the pipeline project? @pperle

[suayder]

I am in the same problem, does someone found out how to fix this?

[kimou6055]

anyone solved the problem? i'm facing the same issue

[losemankim]

eval.py
참조하세요 @kimou6055

[kimou6055]

@losemankim will the eval.py do the preprocessing on my custom data or will it train another model that i can infer on for prediction?

[losemankim]

For preprocessing MPIIFaceGaze, download the original dataset and then run python dataset/mpii_face_gaze_preprocessing.py --input_path=./MPIIFaceGaze --output_path=./data. Or download the preprocessed dataset.

To only generate the CSV files with all filenames which gaze is not on the screen, run python dataset/mpii_face_gaze_errors.py --input_path=./MPIIFaceGaze --output_path=./data. This can be run on MPIIGaze and MPIIFaceGaze, or the CSV files can be directly downloaded for MPIIGaze and MPIIFaceGaze.

@kimou6055
if you make csv file u can use eval.py to make ckpt file

[cycid]

anyone solved the problem? i'm facing the same issue

Hi, did you ran the model using your calibration data?