This project supports multiple CNN models for detection. Please make sure you have already set up environment and installed this project correctly. You can refer to the following links for your interested models then.
Compile NCS graph.
cd /opt/movidius/ncappzoo/caffe/SSD_MobileNet
make
Launch video streaming nodelet.
# Option 1: RealSense
roslaunch movidius_ncs_launch ncs_camera.launch cnn_type:=mobilenetssd camera:=realsense
# Option 2: USB camera
roslaunch movidius_ncs_launch ncs_camera.launch cnn_type:=mobilenetssd camera:=usb
Launch image viewer to show the classification result on another console.
# Option 1: RealSense
roslaunch movidius_ncs_launch ncs_stream_detection_example.launch camera_topic:="/camera/color/image_raw"
# Option 2: USB camera
roslaunch movidius_ncs_launch ncs_stream_detection_example.launch camera_topic:="/usb_cam/image_raw"
Compile NCS graph.
cd /opt/movidius/ncappzoo/caffe/TinyYolo
make
Launch video streaming nodelet.
# Option 1: RealSense
roslaunch movidius_ncs_launch ncs_camera.launch cnn_type:=tinyyolo_v1 camera:=realsense
# Option 2: USB camera
roslaunch movidius_ncs_launch ncs_camera.launch cnn_type:=tinyyolo_v1 camera:=usb
Launch image viewer to show the classification result on another console.
# Option 1: RealSense
roslaunch movidius_ncs_launch ncs_stream_detection_example.launch camera_topic:="/camera/color/image_raw"
# Option 2: USB camera
roslaunch movidius_ncs_launch ncs_stream_detection_example.launch camera_topic:="/usb_cam/image_raw"
Though this ROS package is only tested on RealSense D400 series camera and Microsoft HD-300 USB camera, other ROS supported cameras probably work as well. You can try in this way: Launch your preferred camera node.
#launch ROS master
roscore
#launch camera node on another console
rosrun <your-camera-pkg> <your-camera-node>
Launch video streaming nodelet and assign input_topic
with the topic url of your RGB camera.
# Launch video streaming nodelet
roslaunch movidius_ncs_launch ncs_camera.launch cnn_type:=mobilenetssd camera:=others input_topic:=<your_rgb_camera_topic>
# Launch image viewer to show the classification result on another console
roslaunch movidius_ncs_launch ncs_stream_detection_example.launch camera_topic:=<your_rgb_camera_topic>
Arguments | Description | Default Value | Valid Values |
---|---|---|---|
device_index | ncs device index | 0 | 0~N-1(N is the maximum number of inserted NCS devices) |
log_level | ncs log level | 0 | 0:Nothing / 1:Errors / 2:Verbose |
cnn_type | indicate different cnn models | googlenet | mobilenetssd / tinyyolo_v1 |
input_topic | RGB camera topic to be subscribed | /camera/color/image_raw | only valid when "camera:=others" |
output_topic | published topic of inference results | /movidius_ncs_nodelet/detected_objects | any valid topic name |
camera | camera type | others | usb / realsense / others |
color_width | frame width of RealSense D400 | 640 | any resolution that RealSense D400 supports |
color_height | frame height of RealSense D400 | 480 | any resolution that RealSense D400 supports |
image_width | frame width of USB camera | 640 | any resolution that USB camera supports |
image_height | frame height of USB camera | 480 | any resolution that USB camera supports |
video_device | USB camera device node | /dev/video0 | any available video device node |