USB camera captures the camera live stream.
Capsfilter is applied to enforce constraints on the raw video data.
tee is used to split the stream for inferencing.
qtivtransform transforms the stream data.
qtimlvconverter does preprocessing and converts the video stream to a tensor stream, which is used for inferencing.
qtimlsnpe, qtimltflite, qtimlonnx, or qtimlqnn run the inference on the stream.
qtimlpostprocess handles the inference results from any object detection model and produces video frames.
qtivcomposer composes the video frames and shares them with Waylandsink.
Waylandsink submits the composed video stream to Weston, which renders it on the local display.
|
| Object detection using USB camera and file encode |