I tried to follow and run the YOLO to ONNX conversion script, which is mentioned in the repository. However, I encountered an error, and I have provided more details below. Thank you!
Python version --> Python 2.7.17
Onnx version --> onnx==1.9.0
numpy version --> numpy==1.19.4
Error:
python3 yolo_to_onnx.py -m yolov3-tiny-288
Parsing DarkNet cfg file...
Building ONNX graph...
Traceback (most recent call last):
File "yolo_to_onnx.py", line 1065, in <module>
main()
File "yolo_to_onnx.py", line 1053, in main
verbose=True)
File "yolo_to_onnx.py", line 590, in build_onnx_graph
params)
File "yolo_to_onnx.py", line 414, in load_resize_scales
name, TensorProto.FLOAT, shape, data)
File "/home/nano/.local/lib/python3.6/site-packages/onnx/helper.py", line 254, in make_tensor
getattr(tensor, field).extend(vals)
TypeError: 1.0 has type numpy.float32, but expected one of: int, long, float
I tried to follow and run the YOLO to ONNX conversion script, which is mentioned in the repository. However, I encountered an error, and I have provided more details below. Thank you!
Python version --> Python 2.7.17 Onnx version --> onnx==1.9.0 numpy version --> numpy==1.19.4
Error: