Before starting with deepstream, I have been using YOLOv3_tiny from darknet and I managed to get pretty good results. However, when running the same model, with the same weights in deepstream I am getting completely different output. I have less bounding boxes, even though the probability threshold is the same, and the bounding boxes I get are way thinner and longer and than the ones I am getting with darknet.
Are there any parameters that I can modify in order to make YOLOv3_tiny output improve and be more similar to the one with darkent?
In this link (https://drive.google.com/open?id=1PpUCUoUVv2RkrU5yVrrPyokyU3iolf_W) I share 2 frames with the detections from the to ways of running YOLOv3_tiny. In them is possible to see the differences I have explained before.
Thank you in advance.