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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/06/01 15:29:04 UTC

[GitHub] ElegantGod commented on issue #11121: ssd inference bug

ElegantGod commented on issue #11121: ssd inference bug
URL: https://github.com/apache/incubator-mxnet/issues/11121#issuecomment-393916464
 
 
   Thank for you reply.
   
    In python vision, I can fix the input size of inference equal to the input size of training by using "self.mod.bind(data_shapes=[('data', (batch_size, 3, data_shape, data_shape))])", which can generate the result close to truth. 
   
   But in c++ version,  I only use "simple_bind" function to generate the executor, the shape of executor.data is the shape of input image. 
   
   OK, my English is poor, I hope you can understand it, thanks!

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