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Hi, thank you for contributing to this repository. It's worth using deep learning approaches to improve the quality of the sparse point cloud before densification and the rest. How did you manage the output from CasMVSNet or another depth inferring method in order to use it in the OpenMVS step? Any data modification or libraries required? Thank you.
The text was updated successfully, but these errors were encountered:
Hi, thank you for contributing to this repository. It's worth using deep learning approaches to improve the quality of the sparse point cloud before densification and the rest. How did you manage the output from CasMVSNet or another depth inferring method in order to use it in the OpenMVS step? Any data modification or libraries required? Thank you.
Hello, how can I convert the depth data file obtained by the deep learning network into the dmap format file required by openmvs? Can you send me the code for this? I would be grateful if I could. My contact information is [email protected]
Hello, how can I convert the depth data file obtained by the deep learning network into the dmap format file required by openmvs? Can you send me the code for this? I would be grateful if I could. My contact information is [email protected]
Hi, thank you for contributing to this repository. It's worth using deep learning approaches to improve the quality of the sparse point cloud before densification and the rest. How did you manage the output from CasMVSNet or another depth inferring method in order to use it in the OpenMVS step? Any data modification or libraries required? Thank you.
The text was updated successfully, but these errors were encountered: