The Jetson Nano is an obvious platform for rt-ai to support, to go with the existing Intel NCS2 and Coral edge platforms. One nice plus is that the Jetson Nano comes basically ready to go, all set up for inference.
The screen capture above shows the Nano running the detectnet-camera example code using a webcam as the source generating 1280 x 720 frames and SSD-Mobilenet-v2 as the model. Performance was not bad at 21fps running at 10W, 16fps running at 5W. The heatsink did get very hot in a pretty short space of time however!
Installing the rt-ai runtime was no problem at all and it was easy to utilize the H.264 accelerated pipeline in rt-ai’s RTSP camera capture module. The screen capture above shows this running along with a viewer, demonstrating basic rt-ai funtionality.
Next up is to roll the detection code into an rt-ai Stream Processing Element (SPE). This will generate identical metadata to the existing SSD detectors, allowing full compatibility between server GPU, Jetson, NCS 2 and Coral SSD detectors.