GithubHelp home page GithubHelp logo

joanpepcompany / msc-vo Goto Github PK

View Code? Open in Web Editor NEW
76.0 76.0 22.0 32.18 MB

This repository includes an RGB-D VO system that combines both point and line features and leverages, if exist, structural regularities and the Manhattan axes of the scene.

License: Other

CMake 0.74% Shell 0.48% C++ 97.90% Python 0.87%

msc-vo's People

Contributors

joanpepcompany avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar

msc-vo's Issues

An error about segmentation error during running MSC-VO code

Hello dear author, I am trying to running the code of MSC-VO. During the process of configuring environment, there always exists segmentation error. After debug, I found that this segmentation error is loacte in Optimizer::LineOptStruct, if I delete the calling of this function in 277 of Tracking.cc, the algorithm can run successfully. I add an output at the end of Optimizer::LineOptStruct and 278 of Tracking.cc, only the output in Optimizer::LineOptStruct can be print, which means that the segmentation error maybe caused by the memory reclamation of Optimizer::LineOptStruct.I would like to know that is this problem happens when you run this code. If this problem also happened in your device, how can i solve it?
Thank you so much!

Linking CXX executable ../Examples/RGB-D/rgbd_tum ../lib/libORB_SLAM2.so: undefined reference to `cv::line_descriptor::BinaryDescriptor::compute

Hello dear author, I am using opencv3.2.0, but the following error occurs, do you know how to solve it?
[100%] Linking CXX executable ../Examples/RGB-D/rgbd_tum ../lib/libORB_SLAM2.so: undefined reference to cv::line_descriptor::BinaryDescriptor::compute(cv::Mat const&, std::vector<cv::line_descriptor::KeyLine, std::allocatorcv::line_descriptor::KeyLine >&, cv::Mat&, bool) const'
../lib/libORB_SLAM2.so: undefined reference to cv::line_descriptor::BinaryDescriptor::createBinaryDescriptor()' ../lib/libORB_SLAM2.so: undefined reference to cv::line_descriptor::LSDDetector::detect(cv::Mat const&, std::vector<cv::line_descriptor::KeyLine, std::allocatorcv::line_descriptor::KeyLine >&, int, int, cv::Mat const&)'
../lib/libORB_SLAM2.so: undefined reference to cv::line_descriptor::LSDDetector::createLSDDetector()' collect2: error: ld returned 1 exit status CMakeFiles/rgbd_tum.dir/build.make:178: recipe for target '../Examples/RGB-D/rgbd_tum' failed make[2]: *** [../Examples/RGB-D/rgbd_tum] Error 1 CMakeFiles/Makefile2:104: recipe for target 'CMakeFiles/rgbd_tum.dir/all' failed

run speed issue

hi author,thanks for your attention,i meet a problem which i can not understand.i run this code on two computer.
a computer: cpu:i7-7700
b computer: cpu:i9-13900hx
the environment is same.
the running speed of a is about ten times faster than that of b.
i feel so confusion,i hope you can give me some advice,thank you.

the LSD Parameters of config file TUM2.yaml

Hello, thank you for the code. But when I use the config file of TUM2.yaml, I met the Segmentation fault (core dumped) error. So I think you forget the LSD Parameters in the TUM2.yaml, that other config files have the LSD Parameters .
#--------------------------------------------------------------------------------------------

LSD Parameters

#--------------------------------------------------------------------------------------------

LINEextractor.nLevels: 1
LINEextractor.scaleFactor: 1.2
LINEextractor.nFeatures: 200
LINEextractor.min_line_length: 5

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.