convert yolov3-tiny to onnx

[NazarovAV]

Can I convert yolov3-tiny to onnx?
When I run darknet2onnx.py with my cfg and weights, I get an error:

convalution havn't activate linear
Traceback (most recent call last):
  File "darknet2onnx.py", line 59, in <module>
    transform_to_onnx(cfgfile, weightfile)
  File "darknet2onnx.py", line 8, in transform_to_onnx
    model = Darknet(cfgfile)
  File "/home/alex/work/repos/pytorch-YOLOv4/tool/darknet2pytorch.py", line 140, in __init__
    self.models = self.create_network(self.blocks)  # merge conv, bn,leaky
  File "/home/alex/work/repos/pytorch-YOLOv4/tool/darknet2pytorch.py", line 405, in create_network
    yolo_layer.scale_x_y = float(block['scale_x_y'])
KeyError: 'scale_x_y'

[lswgh]

same problem! have you solved the error?
THANKS!

[ROBYER1]

Same here, lack of v3 tiny support is an issue

[bainro]

Add "scale_x_y = 1.00" to each [yolo] layer in the cfg file. This is implicit for yolov3, but the parser doesn't know that currently.

ultralytics/yolov3#1121
https://github.com/AlexeyAB/darknet/blob/master/cfg/yolov4-tiny-3l.cfg