Indoor-SfMLearner
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shocked by the initial val result
Before training, the function val evaluate the initial model on the NYUv2 test set, and the result is
abs_rel | sq_rel | rmse | rmse_log | a1 | a2 | a3 |
& 0.323 & 0.448 & 1.002 & 0.365 & 0.520 & 0.783 & 0.905
That shocks me, am i wrong ? why the initial model perform pretty well on the NYUv2 test set ?