MathsionYang / CPotree

Potree C++

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Build

Linux:

mkdir build
cd build
cmake ../
make

Windows:

mkdir build
cd build
cmake ../
  • Then open the generated sln file in Visual Studio.
  • Make sure "Release" build is selected.
  • Build "extract_profile".

Usage

Extract points with the elevation profile:

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

// 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>
  • 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.
  • min-level, max-level: Level range including the min and max levels. Can be omitted to process all levels.

With --get-candidates, you'll get the number of candidate points, i.e., the number of points inside all nodes intersecting the profile. The actual number of points might be orders of magnitudes lower, especially if --width is small.

./extract_profile <input> --coordinates "{x0, y1}, {x1, y}, ..." --width <scalar> --min-level <integer> --max-level <integer> --get-candidates

A practical example:

./extract_profile ~/dev/tmp/retz -o ~/dev/tmp/retz.laz --coordinates "{-37.601, -100.733, 4.940},{-22.478, 75.982, 8.287},{66.444, 54.042, 5.388},{71.294, -67.140, -2.481},{165.519, -26.288, 0.253}" --width 2 --min-level 0 --max-level 3

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Potree C++


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