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View Code? Open in Web Editor NEWSemantic 3D Reconstruction with Learning MVS and 2D Segmentation of Aerial Images, Applied Sciences 2021
Semantic 3D Reconstruction with Learning MVS and 2D Segmentation of Aerial Images, Applied Sciences 2021
Hello! I have no idea to use data you provide to run this project? Can you show more details about it? Thank you.
@MarcWong 非常感谢这个开源项目,请问测试数据 二三维匹配文件output.txt是如何产生的?谢谢
Hello!
I wonder how did you set the depth related parameters(depth_min, depth_interval, number_depth,etc) when test RMVSNet on the provided test images. It seems that directly use the depth range estimated by colmap will cause problem. I wonder what parameters have you tuned to get a good result when combine colmap with R-MVSNet. I have tried to use the colmap2mvsnet.py provided in RMVSNet's official implementation to convert the colmap SFM result, and then directly feed them into a depth inference network similar to R-MVSNet(named RED-Net), but the result seems terrible. In RMVSNet's issue, I found many people have encountered such issue when test on custom dataset, it seems that the set of depth range matters a lot for such networks.
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