zhanght021 / RPT

RPT: Learning Point Set Representation for Siamese Visual Tracking

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How did you choose hyperparameters?

kumatheworld opened this issue · comments

I have questions about some hyperparameters in the config files.

experiments/siamreppoints/config_vot2018_offline.yaml:

TRACK:
    TYPE: 'SiamReppointsTracker'
    PENALTY_K: 0.09384699789214077
    WINDOW_INFLUENCE: 0.2870488747571366
    LR: 0.546949224973851

experiments/siamreppoints/config_vot2019_offline.yaml:

TRACK:
    TYPE: 'SiamReppointsTracker'
    PENALTY_K: 0.17380070743842363
    WINDOW_INFLUENCE: 0.43745716974756743
    LR: 0.4488453012609389

How did you determine those hyperparameters? Why do those values differ in the 2 files?

I have questions about some hyperparameters in the config files.

experiments/siamreppoints/config_vot2018_offline.yaml:

TRACK:
    TYPE: 'SiamReppointsTracker'
    PENALTY_K: 0.09384699789214077
    WINDOW_INFLUENCE: 0.2870488747571366
    LR: 0.546949224973851

experiments/siamreppoints/config_vot2019_offline.yaml:

TRACK:
    TYPE: 'SiamReppointsTracker'
    PENALTY_K: 0.17380070743842363
    WINDOW_INFLUENCE: 0.43745716974756743
    LR: 0.4488453012609389

How did you determine those hyperparameters? Why do those values differ in the 2 files?

use the tune.py in siamban to search the hps