Visualization results - Githubissues

ruili3 / dynamic-multiframe-depth

[CVPR 2023] Multi-frame depth estimation in dynamic scenes. -- Li, Rui, et al. "Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes".

MIT License

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Visualization results #16

Open fufj opened 5 months ago

fufj commented 5 months ago

Hi~ Thanks for your remarkable work. I am reproducing your paper results including quantitative and qualitative results. However, difficulties are encountered in generating the visualization results as shown in Figure 6 of your paper. I have found taht two .py files in this repository, plot_depth_utils.py and visualization.py, may be related. Would you mind providing some help for me?

ruili3 commented 5 months ago

Hi,

Thanks for your interest :)

We used the AbsRel error map in Fig.6, you may alter the save_concat_res() function in plot_depth_utils.py for error visualization.
Unfortunately, the current codebase does not contain the original point cloud generation script. Our baseline work has a point cloud generation script, but it requires further debugging to work out. An alternative is to use other repos, eg. these functions (pcd, save_pcd) in Metric3D. It should work fine in our repo if you set the intrinsic properly.

fufj commented 5 months ago

Thank you so much. I will try it.

757787182 commented 3 months ago

error_map Hi~ Thanks for your remarkable work. my loss of error chart looks like this,Would you mind providing some help for me?

ruili3 commented 3 months ago

Hi~ Thanks for your remarkable work. my loss of error chart looks like this,Would you mind providing some help for me?

Did you use the script I mentioned above? It seems that you are using the original image and a different color scheme

757787182 commented 3 months ago

thanks you for your reply ,i will try it