About the input_shape of the model
zhangyufei1995 opened this issue · comments
I am just using a typical input size(like 416 416) to estimate the feature size when write the code. The only constraint of the inputsize is that it must be the multiple of 32
I am just using a typical input size(like 416 416) to estimate the feature size when write the code. The only constraint of the inputsize is that it must be the multiple of 32
I have trained a model with input_size=320, but the test result of input_size=320 is bad than input_size=416, why?
It no surprise that smaller input size always decreases the performance of DL algorithm.
It no surprise that smaller input size always decreases the performance of DL algorithm.
I see, Thank you~