Electronics Dope

Project outcomes from my learning of a very important and industry oriented tool - ROS. Project Link : https://github.com/akhilkumar1299/RobotOperatingSystem These projects were developed using ROS Kinetic on Ubuntu 16.04. "detect_face" is a ROS package for face recognition using webcam of linux based workstation. For running this package in ROS environments, initialise the ROS master node. ($ roscore) The python node inside the package uses '/usb_cam/image_raw' ROS topic so this topic can be initiated by running 'usb_node' node with pixel format = 'yuyv' ($ rosrun usb_cam usb_cam_node _pixel_format:=yuyv) Once the webcam starts, now run our python node -> ros_face_detect.py ($ rosrun detect_face ros_face_detect.py) IMPORTANT NOTE: Remember to change the location of the haar cascades in ros_face_detect.py with your haar file location.

This is my original work on  VLSI Cadence Virtuoso  layouts and schematics. I would like to share this and hoping will this help you in your projects.  Link :  https://electronicsdope.blogspot.com/p/cadence.html Thanks You!