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1 change: 1 addition & 0 deletions .gitignore
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build/
build/CPotree.sln
.vscode/
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15 changes: 11 additions & 4 deletions README.md
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# Usage

Extract points with the elevation profile:
Minimal

// minimal
./extract_profile <input> -o <output> --coordinates "{x0, y1}, {x1, y}, ..." --width <scalar>
./extract_area <input> -o <output> --area "{tx,rz,ry,0,-rz,ty,rx,0,-ry,-rx,tz,0,dx,dy,dz,1}"

Extract points in certain LOD level ranges

// Extract points in certain LOD level ranges
./extract_profile <input> -o <output> --coordinates "{x0, y1}, {x1, y}, ..." --width <scalar> --min-level <integer> --max-level <integer>

Extract points with different attributes

./extract_profile <input> -o <output> --coordinates "{x0, y1}, {x1, y}, ..." --width <scalar> --output-attributes <attributes> --output-format <format>

* __input__: A point cloud generated with PotreeConverter 2.
* __output__: Can be files ending with *.las, *.laz, *.potree or it can be "stdout". If stdout is specified, a potree format file will be printed directly to the console.
* __output__: Can be files ending with *.las, *.laz, *.csv, *.json, *.potree. If omitted, the result will be printed directly to the console.
* __format__: LAS, LAZ, CSV, JSON, POTREE (default). If omitted, the files endings will be used.
* __attributes__: Point attributes like: position, rgb, intensity, classification, ... Default: same as input point cloud
* __min-level__, __max-level__: Level range including the min and max levels. Can be omitted to process all levels.


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