YOLOv5-LibTorch
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Error in inference on other size except (640,640)
Hi,
I want inference my .torchscript.pt
which is trained by this command and switch:
python train.py --img 128 128 --rect ...
but, by change resize function in this repo to (128,128), i got error:
RuntimeError: The size of tensor a (32) must match the size of tensor b (80) at non-singleton dimension 3
but, i don't know where should i change to work for me. please help me.
Bro, your error is obviously because there is a problem with the number of categories, and it has nothing to do with the image size. I used COCO to train 80 categories. Did you train a 32-category? Please do not come to me if there are any minor problems in the code, can it be solved by yourself?
No, if this problem was relate to category, doesn't work by change to 640,640. Am i right?
Yes u r right, i have nothing to say
------------------ 原始邮件 ------------------ 发件人: "notifications"<[email protected]>; 发送时间: 2020年12月15日(星期二) 下午5:39 收件人: "Nebula4869/YOLOv5-LibTorch"<[email protected]>; 抄送: "Nebula"<[email protected]>; "Comment"<[email protected]>; 主题: Re: [Nebula4869/YOLOv5-LibTorch] Error in inference on other size except (640,640) (#7)
No, if this problem was relate to category, doesn't work by change to 640,640. Am i right?
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