aim-uofa / AdelaiDepth

This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.
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Strange size of output files for train #54

Closed ori30ffs closed 1 year ago

ori30ffs commented 1 year ago

Hello, I tried to use your train_demo.sh script. After 200 epoch I don't have any progress on test dataset. I attached files with my environment, log and output folder. Could you help me, what I'm doing wrong? Oct11-14-37-36_MSISPlap03.txt Untitled env.txt image

guangkaixu commented 1 year ago

The train_demo.sh is only performed to ensure the accurate environment installation, which is only trained on 5 RGB-D pairs. To validate more frequently, you can change the parameter val_step to smaller.