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Back | Next | Contents
Object Detection

Running the Live Camera Detection Demo

Similar to the previous example, detectnet-camera runs the object detection networks on live video feed from the Jetson onboard camera. Launch it from command line along with the type of desired network:

$ ./detectnet-camera facenet        # run using facial recognition network
$ ./detectnet-camera multiped       # run using multi-class pedestrian/luggage detector
$ ./detectnet-camera pednet         # run using original single-class pedestrian detector
$ ./detectnet-camera coco-bottle    # detect bottles/soda cans in the camera
$ ./detectnet-camera coco-dog       # detect dogs in the camera
$ ./detectnet-camera                # by default, program will run using multiped

note: to achieve maximum performance while running detectnet, increase the Jetson clock limits by running the script: sudo ~/jetson_clocks.sh


note: by default, the Jetson's onboard CSI camera will be used as the video source. If you wish to use a USB webcam instead, change the DEFAULT_CAMERA define at the top of detectnet-camera.cpp to reflect the /dev/video V4L2 device of your USB camera and recompile. The webcam model it's tested with is Logitech C920.


Next | Semantic Segmentation with SegNet
Back | Detecting Objects from the Command Line

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