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cpclean: remove wrong control points by statistic method cpclean version 2017.0.0.eac5e8cc546e Usage: cpclean [options] input.pto CPClean uses statistical methods to remove wrong control points Step 1 optimises all images pairs, calculates for each pair mean and standard deviation and removes all control points with error bigger than mean+n*sigma Step 2 optimises the whole panorama, calculates mean and standard deviation for all control points and removes all control points with error bigger than mean+n*sigma Options: --output|-o file.pto Output Hugin PTO file. Default: '<filename>_clean.pto'. --max-distance|-n num distance factor for checking (default: 2) --pairwise-checking|-p do only pairwise optimisation (skip step 2) --whole-pano-checking|-w do optimise whole panorama (skip step 1) --dont-optimize|-s skip optimisation step when optimisation the whole panorama --check-line-cp|-l also include line control points for calculation and filtering in step 2 --verbose|-v verbose output during optimisation --help|-h shows help