Deep-SfM-Revisited
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Abouth using median value to solve scale ambiguity when evualating
Hi, thanks for sharing the impressive work.
According to the codes at Line 576-585 in main.py, you use the ratio between the median values of predicted and GT depth to scale the predicted depth. However, the predicted depth has been scaled by the GT scale \alpha_gt (see Line 536-541 in main.py). Hence, I am confused about why the rescaling operation by the ratio of median values is necessary (the performance would drop significantly without it).
Could you kindly help me resolve the confusion. Thank you so much.