TU/e Robotics image_recognition
Packages for image recognition - Robocup TU/e Robotics
Package status & Description
Package | Build status Xenial Kinetic x64 | Description |
---|---|---|
image_recognition | Meta package for all image_recognition packages. | |
image_recognition_util | Utils shared among image recognition packages | |
image_recognition_msgs | Interface definition for image recognition | |
image_recognition_rqt | RQT tools with helpers testing this interface and training/labeling data. | |
tensorflow_ros | Object recognition with use of Tensorflow. The user can retrain the top layers of a neural network to perform classification with its own dataset as described in this tutorial. | |
tensorflow_ros_rqt | RQT tools for retraining a Tensorflow neural network. | |
openface_ros | ROS wrapper for Openface (https://github.com/cmusatyalab/openface) to detect and recognize faces in images. | |
skybiometry_ros | ROS wrapper for Skybiometry (https://skybiometry.com/) for getting face properties of a detected face, e.g. age estimation, gender estimation etc. | |
openpose_ros | ROS wrapper for Openpose (https://github.com/CMU-Perceptual-Computing-Lab/) for getting poses of 2D images. |
Travis CI Build Status
How to
Object recognition
Step 1: label images with the image_recognition_rqt#annotation-plugin
Step 2: train a neural network with the tensorflow_ros_rqt
Step 3: predict labels for new data with the image_recognition_rqt#test-plugin
Face recognition
See the tutorial at openface_ros
Installation
Clone the repo in your catkin_ws:
cd ~/catkin_ws/src
git clone https://github.com/tue-robotics/image_recognition.git
Build your catkin workspace cd ~/catkin_ws catkin_make