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Hi everyone,
When I run Fastmot on my network that I train v3Tiny I get very big boundary boxes(Attaches video:fastmot_v3Tiny ), but when I run the same network on darknet everything is fine (Attaches video:yolov3Tiny).
It's important to note that this problem doesn't happen when I train yolov4Tiny.
The only difference between the networks Is image resize v4Tiny: (420,420) and v3Tiny(608,608) but I change the size in yolo.py
I hope someone can tell me what I do wrong?
fastmot_v3Tiny.mp4yolov3Tiny.mp4
The text was updated successfully, but these errors were encountered:
@GeekAlexis Please help me I see this problem in every model of yolov3Tiny also when I get examples from the internet of v3Tiny and I run FastMOT I get this problem
you can try 'cfg/mot.json' as per your requirements
Ofcourse I change cfg/mot.json to my requirements but still only in yolov3 or 3tiny i see this problem its look like the BB multiply by some scale factor.
Hi everyone,
When I run Fastmot on my network that I train v3Tiny I get very big boundary boxes(Attaches video:fastmot_v3Tiny ), but when I run the same network on darknet everything is fine (Attaches video:yolov3Tiny).
It's important to note that this problem doesn't happen when I train yolov4Tiny.
The only difference between the networks Is image resize v4Tiny: (420,420) and v3Tiny(608,608) but I change the size in yolo.py
I hope someone can tell me what I do wrong?
fastmot_v3Tiny.mp4
yolov3Tiny.mp4
The text was updated successfully, but these errors were encountered: