I’m following the Application Note on ‘Custom YOLO Model in the DeepStream YOLO App’ and got a strange issue - all the bounding boxes on image looks too big.
Picture examples are in the links:
First one are boxes I get on PC:
Second one on Jetson Nano
As you can see Jetson Bboxes looks scaled up.
-Custom YoloV3-Tiny was trained using AlexeyAB Darknet fork
-Reference video resolution is 1280x720, I’ve set same numbers in app config file
-It happens on every video
-I’ve tried to change width and height in yolov3-tiny.cfg file, it only affected fps
-I’ve tried to change masks=0,1,2 to masks=1,2,3 (in the same file) - no effect
-I’ve changed [streammux] width and height in app config without any result
-I’ve tried to find numbers like ‘416’ or ‘608’ in cpp files, but no luck
It’s seems to me that the issue is realted to bbox rescaling, but I don’t know where to check or how to output raw bbox values.