gh279760559 / pyslam

pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.

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How to install:

  • create env 3.6.9
  • go to the env:
    pip install -r requirements.txt
    ./install_all.sh
    pip install pybind11
    

note: if git clone with no --recursive then need to run ./install_all.sh one time to download the necessary repo orbslam2, pangolin and g2o. It is highly possible to have some error messages then refer to following.

note: if something wrong with the pybind11 said cannot find python.h

Solution:

  • delete the build/bin folders in each third party folders
  • orbslam2_features: add find_package(PythonInterp 3.6 REQUIRED) find_package(PythonLibs 3.6 REQUIRED) to thirdparty/orbslam2_features/pybind11/CMakeLists.txt at line 28-29
  • pangolin: add find_package(PythonInterp 3.6 REQUIRED) find_package(PythonLibs 3.6 REQUIRED) to thirdparty/pangolin/CMakeLists.txt at line 22-23
  • g2o: add find_package(PythonInterp 3.6 REQUIRED) find_package(PythonLibs 3.6 REQUIRED) to thirdparty/g2opy/EXTERNAL/pybind11/CMakeLists.txt at line 28-29, also to thirdparty/g2opy/EXTERNAL/CMakeLists.txt top line. For some reasons, the file thirdparty/g2opy/python/CMakeLists.txt is changed automatically. Just undo everything back like following
    include_directories(${PROJECT_SOURCE_DIR})
    
    include_directories(${EIGEN3_INCLUDE_DIR})
    include_directories(${CHOLMOD_INCLUDE_DIR})
    include_directories(${CSPARSE_INCLUDE_DIR})
    
    
    # pybind11 (version 2.2.1)
    LIST(APPEND CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/EXTERNAL/pybind11/tools)
    include_directories(${PROJECT_SOURCE_DIR}/EXTERNAL/pybind11/include)
    include(pybind11Tools)
    
    
    pybind11_add_module(g2o g2o.cpp)
    target_link_libraries(g2o PRIVATE 
        core
        solver_cholmod
        solver_csparse
        solver_eigen
        solver_dense
        solver_pcg
        solver_slam2d_linear
        solver_structure_only
        types_data
        types_icp
        types_sba
        types_sclam2d
        types_sim3
        types_slam2d
        types_slam2d_addons
        types_slam3d
        types_slam3d_addons
        contrib
    )
    
    

run main_vo.py or main_slam.py

More old documents refer to README-old

About

pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.

License:GNU General Public License v3.0


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