Is it possible to run yolo object detection demo with non-squared input (not 320x320/416x416/608x608 but 320x608 for example)? To run it “non-squared” with pure darknet yolo implementation you can only change yolov3.cfg parameters as shown below:
[net] width=608 height=320
But in deepstream-app sample there are a lot of asserts appear if width!=height.
Is it just sample limitation or tensorRT limitation?