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I’ve been having this problem lately, How did you solve it?
@Ma-Dan Thank you very much for your open source and help. I used your github to convert the model to ncnn: https://github.com/Ma-Dan/yolact/tree/onnx.
I would like to ask if you have tried to convert onnx to ncnn? Because segmentation fault (core dumped) appears when I execute ncnnoptimize.
I am thinking about whether it is related to the error message that appears when converting onnx. The following is my error message. I will trouble you again, thank you.
The environment I used: python 3.7.9, torch1.5.0, torchvision 0.6.0, onnx 1.8.1
TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
if self.last_img_size != (cfg._tmp_img_w, cfg._tmp_img_h):
I’ve been having this problem lately, How did you solve it?
@Ma-Dan Thank you very much for your open source and help. I used your github to convert the model to ncnn: https://github.com/Ma-Dan/yolact/tree/onnx.
I would like to ask if you have tried to convert onnx to ncnn? Because segmentation fault (core dumped) appears when I execute ncnnoptimize.
I am thinking about whether it is related to the error message that appears when converting onnx. The following is my error message. I will trouble you again, thank you.
The environment I used: python 3.7.9, torch1.5.0, torchvision 0.6.0, onnx 1.8.1
Originally posted by @chingi071 in #74 (comment)
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