At Readme of YOLOv3, Value types of original image size need to be float #671
Description
Bug Report
Which model does this pertain to?
Describe the bug
Each of hosted models(YOLOv3, YOLOv3-12, YOLOv3-12-int8) need the original image size as the second input.
These Onnx Models expect float values for the second input, but the preprocessing steps sets it as dtype=np.int32, this causes asserting by type error.
It need to be np.float32 or 'float32' for the parameter dtype on this last line, same as Tiny Yolov3.
I will make a pull request for this issue soon.
Reproduction instructions
System Information
OS Platform and Distribution:
Windows 11 22H2
ONNX version:
not needed for reproducing this issue
Backend/Runtime version:
onnxruntime 1.18.0
numpy 1.26.0