cloor / face-recognition-ros-

Face Recognition with Ros

• This repo illustrates how to use face-recogntion module with usb_cam by Ros
• We need Ros, pytorch, Cvbridge, Etc.
• requirments must be installed (see Reference).

Ros

• We will skip step of basic Ros settigs.
• Architecture
  • Publish usb_cam images with Ros

    roslaunch usb_cam usb_cam-test.launch
    

  • Subscribe image topics in code, and convert it to Opencv_images with CVbridge
  • with Opencv images do face recognition
  • Publish result class, score, landmarks

How to use (you must launch 'usb_cam')

1. Upload Face you want to recognize in Face Bank

• take a picture

  rosrun new_face_recognition take_picture.py -n name
  

  • Enter 't' to take a picture
  • Enter 'q' to close window
  • Write name behind '-n' option to create file with name

• upload picture file

  python Take_id.py --image {file path} --name {name} 
  

  • {file path} is path to picture file
  • {name} is name you want to use in face recognition

2. Save Faces in Face bank to model

rosrun new_face_recognition facebank.py

3. Run Face Recognition

- Run module

rosrun new_face_recognition face_recognition.py

- Publish msg to activate

rostopic pub --once /face_recognition_msg std_msgs/String "data: 'On'"

Reference

• Face Recognition(MTCNN) link: https://github.com/xuexingyu24/MobileFaceNet_Tutorial_Pytorch

  git clone https://github.com/xuexingyu24/MobileFaceNet_Tutorial_Pytorch
  

• Usb_cam link: https://github.com/ros-drivers/usb_cam.git

  git clone https://github.com/ros-drivers/usb_cam.git