Ros_object_recognition
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| 3d Resnets Pytorch | 2,677 | 2 years ago | 120 | mit | Python | |||||
| 3D ResNets for Action Recognition (CVPR 2018) | ||||||||||
| Sparseconvnet | 1,781 | 3 months ago | 2 | July 10, 2019 | 50 | other | C++ | |||
| Submanifold sparse convolutional networks | ||||||||||
| Face_specific_augm | 373 | 4 years ago | 1 | Jupyter Notebook | ||||||
| Face Renderer to perform Domain (Face) Specific Data Augmentation | ||||||||||
| Historyobjectrecognition | 288 | 6 years ago | 3 | Python | ||||||
| Pytorch Mfnet | 231 | 4 years ago | 14 | mit | Python | |||||
| Facecept3d | 151 | 7 years ago | 6 | mit | C++ | |||||
| FaceCept3D: 3D Face Analysis and Recognition | ||||||||||
| 3d Densenet | 113 | 4 years ago | 13 | mit | Python | |||||
| 3D Dense Connected Convolutional Network (3D-DenseNet for action recognition) | ||||||||||
| Opendetection | 98 | 6 years ago | 15 | bsd-3-clause | C++ | |||||
| OpenDetection is a standalone open source project for object detection and recognition in images and 3D point clouds. | ||||||||||
| Gcode Preview | 92 | 1 | a month ago | 21 | September 21, 2022 | 3 | mit | G-code | ||
| A simple GCode parser & previewer with 3D printing in mind. Written in Typescript. | ||||||||||
| 3d Resnets | 88 | 5 years ago | 1 | mit | Lua | |||||
| 3D ResNets for Action Recognition | ||||||||||
!! NOTE !!
This project is deprecated. I've created this project in 2017 for my master thesis. Since then, no signifiant changes have been made. Since I'm not working with ROS anymore, I will probably not be able to answer your questions. Feel free to use the code and concepts as building blocks or as an inspiration for your own project. Don't expect this project to run by "plug and play" or to even compile with current versions of ROS.
Summary
A simple "framework" for ROS-based 2D and 3D object recognition software.
Documentation
You find a description of the project in docs/project_description.pdf. docs/thesis.pdf contains a more detailed description but it's not up-to-date anymore. The following video provides an overview and demonstrations: https://www.youtube.com/watch?v=Pmur4kxrexE
Requirements
ROS OpenCV 3 (only for 2D object recognition) PCL 1.7 (only for 3D object recognition) Eigen 3 (only for 3D object recognition) Qt5 (not necessary if you do not compile the GUI-files)
Compilation
- Follow ROS installation (Desktop Full Install): http://wiki.ros.org/kinetic/Installation/Ubuntu I needed to enable mysql (sudo systemctl enable mysql) for this to work.
- Create catkin workspace: mkdir -p ~/catkin_ws/src cd ~/catkin_ws catkin_make
- Clone project: cd ~ git clone https://github.com/joffman/ros_object_recognition.git
- Copy/Move src folder into your workspace. cp -r ~/ros_object_recognition/src/* ~/catkin_ws/src/
- Compile: cd ~/catkin_ws catkin_make
License
MIT license
