This code shows the use of Mobile Net Single Shot detector provided with opencv for rosbag data obtained from realsense camera.
The package loads existing Caffe model from (https://docs.opencv.org/3.3.0/d5/de7/tutorial_dnn_googlenet.html)) googlenet dnn page and use it to classify pedestrian in the camera image topic.
ROS::Kinect, OpenCV
Launch roscore
- $ roscore
Launch Rosbag node
- $ rosbag play [Bagfile]
Package
- $ cd [ROS Kinetic catkin src folder]
- $ git clone https://github.com/Abhishekraj166/Human_detection.git
- $ cd ..
- $ catkin_make
- $ roslaunch detection_pkg detection_pkg_node
Detected pedestrian is published to /image_converter/output_video