gpcv-liujin/REDNet

python ./predict.py has error

abhishek31704 opened this issue · 2 comments

Could you please point out why I get the error when I run python .Predict.py:

InvalidArgumentError (see above for traceback): ConcatOp : Dimensions of inputs should match: shape[0] = [1,192,384,16] vs. shape[1] = [1,2688,2688,8]
[[node while/conv_gru1/Gates/concat (defined at C:\Abhi\thesis_pjt\liu2020novel\REDNet-master\network.py:656) ]]

请问你有这个源码的数据集吗?

Could you please point out why I get the error when I run python .Predict.py:

InvalidArgumentError (see above for traceback): ConcatOp : Dimensions of inputs should match: shape[0] = [1,192,384,16] vs. shape[1] = [1,2688,2688,8]
[[node while/conv_gru1/Gates/concat (defined at C:\Abhi\thesis_pjt\liu2020novel\REDNet-master\network.py:656) ]]

It seems like there is a mismatch error in the size of the input data. Maybe you are using a data set that does not match the script “predict.py”.