Open K-nowing opened 1 year ago
Hi, thanks for your interest and thanks for identifying this problem. For the DPT model, we simply took the first model provided in their code and use a set of parameters they provided that can recover depth. It could probably be better if you use the corresponding fine-tuned checkpoint instead. You can also try other depth estimations as long as the depths are in reasonable scales within the sampling range.
Hi, thank you for code release
In the default config file, you used checkpoint "dpt_hybrid-midas", but why did you use the scale and shift value of checkpoint "dpt_hybrid-nyu" for preprocessing? I think the initial values of DPT depth affects the performance.