Comments (1)
Completed via #27 . The pipeline of function calls is in metashape_pipeline.py, but each specific function is selectable via the YAML config file, meaning it is no longer necessary to edit the metashape_pipeline.py script.
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Related Issues (20)
- Config file only needs one projection definition HOT 1
- Convert metashape workflow functions module into a python class HOT 7
- Accommodate linux user directory shorthand ("~/") in config YML
- Append slurm job id to metashape run_id if running on compute cluter
- Option to create config files from a "base.yml" and a CSV or data frame of derived params HOT 5
- support for RGBD reconstruction
- Use absolute paths for raw image 'label' attribute (camera.label) HOT 1
- Convert image labels from symlink destination to symlink source HOT 1
- Validate the config YAML before starting workflow
- Add "capture distance" to cameras before alignment
- Assume different camera calibration for separate image sets processed together HOT 1
- Tolerate GCPs split across multiple folders of input images (if multiple folders of images are specified individually to a single workflow run via config)
- Reduce interdependency DEM and ortho generation, or document clearly HOT 2
- Automate UTM zone selection
- Update default config to be internally consistent HOT 1
- Migrate workflow from functions to object/methods HOT 7
- Make this project into a python module
- Add automatic style formatting HOT 1
- Erroneous height-above-ground estimate leads to low resolution DEM HOT 4
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