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Roadmap
Dakota Benjamin edited this page Aug 9, 2016
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- Prep @edgarriba's cmake fork into main branch
- Improve georeferencing / coordinate system throughout entire pipeline
- Needs to be an integrated part of the the pipeline, not a single process at the end
- create benchmarking
Merge existing and proposed changes into the cmake fork
- add any OO improvements from other work
remove junk codeupdate argparse argumentsOrthophoto .tif generation- update Dockerfile
fix GCP reading orderadd GDAL specifications for GCP listsadd XYZ point cloud outputuse mkdir_p() everywhere-
optimize prepare_objects(Doesn't exist) -
improve logging and messagesAdd benchmarking and generate a log file
rerun_all functionalityremove depreciated code (ccd_defs, etc)other clerical changes (README, etc)- optimize slow code (i.e.
PMVS) - Implement testing framework. See https://github.com/dakotabenjamin/OpenDroneMap/tree/nose_tests
- implement testing protocol
- update licenses
- release odm v0.1
Add image blending and exposure adjustmentsImprove image stitching
- ORB vs. LSD SLAM approaches
- pyexiv2 is depreciated in favor of gexiv2
- Semi-global matching for denser point clouds (http://cdcseacave.github.io/openMVS/ ?)
Replacement of lastools with PDAL- Add optional pre-calibration tool, maybe with editable library of lens parameters derived from checkerboard calibration process
- The lensfun database with lensfunpy (https://github.com/neothemachine/lensfunpy) could be the way to go.
- Point cloud partitioning / classification
- Improvement of meshing (treat buildings differently than vegetation than ground, etc.)
- DEM generation
- Development of Python API
- Development of web front end(s)
- Integration with OpenAerialMap
- Resize
- OpenSfM
- Match
- Reconstruction
- Bundle
- Dense Reconstruction
- Currently CMVS/PMVS
- Mesh
- Texturing
- Custom
- Orthophoto
- Resize
- OpenSfM
- Match
- Reconstruction
- Bundle
- Dense Reconstruction
- DensifyPointCloud.cpp from OpenMVS
- Mesh
- Texturing
- MVS-Texturing
- Orthophoto