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BUILD.md

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------------
Dependencies
------------
*OpenMVS* relies on a number of open source libraries, some optional, which are managed automatically by [vcpkg](https://github.com/Microsoft/vcpkg). For details on customizing the build process, see the build instructions.
* [Eigen](http://eigen.tuxfamily.org) version 3.4 or higher
* [OpenCV](http://opencv.org) version 2.4 or higher
* [Ceres](http://ceres-solver.org) version 1.10 or higher (optional)
* [CGAL](http://www.cgal.org) version 4.2 or higher
* [Boost](http://www.boost.org) version 1.56 or higher
* [VCG](http://vcg.isti.cnr.it/vcglib)
* [CUDA](https://developer.nvidia.com/cuda-downloads) (optional)
* [GLFW](http://www.glfw.org) (optional)
------------------
Build instructions
------------------
Required tools:
* [CMake](http://www.cmake.org)
* [git](https://git-scm.com)
* C/C++ compiler like Visual Studio 2019, GCC or Clang
The dependencies can be fetched and built automatically using `vcpkg` on all major platform, by setting the environment variable `VCPKG_ROOT` to point to its path or by using the `cmake` parameter `-DCMAKE_TOOLCHAIN_FILE=[path to vcpkg]/scripts/buildsystems/vcpkg.cmake`.
The latest pre-built stable binaries can be download from [here](https://github.com/cdcseacave/openMVS_sample/releases/latest).
```
#Clone OpenMVS
git clone --recurse-submodules https://github.com/cdcseacave/openMVS.git
#Make build directory:
cd openMVS
mkdir make
cd make
#Run CMake:
cmake ..
#Build:
cmake --build . -j4
#Install OpenMVS library (optional):
cmake --install .
```
-------------------
Library usage
-------------------
In order to use *OpenMVS* as a third-party library in your project, first compile it as described above or simply use `vcpgk`:
```
vcpkg install openmvs
```
Inside your project CMake script, use:
```
find_package(OpenMVS)
if(OpenMVS_FOUND)
include_directories(${OpenMVS_INCLUDE_DIRS})
add_definitions(${OpenMVS_DEFINITIONS})
endif()
add_executable(your_project source_code.cpp)
target_link_libraries(your_project PRIVATE OpenMVS::MVS)
```
-------------------
Python API
-------------------
The Python API can be enable by setting the `OpenMVS_USE_PYTHON` option to `ON` when running `cmake`. The Python API is built as a shared library and can be used in any Python project. Example:
```
import pyOpenMVS
def run_mvs():
# set the working folder; all files used next are relative to this folder (optional)
pyOpenMVS.set_working_folder("folder/containing/the/scene")
# create an empty scene
scene = pyOpenMVS.Scene()
# load a MVS scene from a file
if not scene.load("scene.mvs"):
print("ERROR: scene could not be loaded")
return
# estimate depth-maps and fuse them into a point-cloud
if not scene.dense_reconstruction():
print("ERROR: could not dense reconstruct the scene")
return
scene.save_pointcloud("pointcloud.ply")
# reconstruct a mesh from the point-cloud
if not scene.reconstruct_mesh():
print("ERROR: could not reconstruct the mesh for this scene")
return
scene.save_mesh("mesh.ply")
# refine the mesh using gradient descent optimization (optional)
if not scene.refine_mesh():
print("ERROR: could not refine the mesh for this scene")
return
scene.save_mesh("refined_mesh.ply")
# texture the mesh using the input images
if not scene.texture_mesh():
print("ERROR: could not texture the mesh for this scene")
return
scene.save_mesh("textured_mesh.ply")
if __name__ == "__main__":
run_mvs()
```
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