Scores are smaller

[Oleh]

Hey. I converted Pytorch model to ONNX with this: https://github.com/ultralytics/ultralytics :
model.export(format="onnx").

Is it because.

1. I need to change something in my code when using inference with your tool?
2. I need to change something the code of your tool?
3. It's the result of the conversion to ONNX?

Could you please help? (:

Some comparison:
ONNX (first image):

[['bear', 0.7407247424125671],
 ['apple', 0.5914568901062012],
 ['apple', 0.5120987892150879]]

Torch (first image):

[['bear', 0.8472723364830017],
 ['apple', 0.6253159046173096],
 ['apple', 0.6134308576583862]]

(second image)
ONNX: 0,6926791071891785
Torch: 0,8411726951599121

Also ONNX model on conversion is for some reason way bigger than Torch's...

[Oleh]

Fixed: #8 (comment)