Deep-NCL
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about training problem
I am sorry to bother you again.I have a problem in training ,it has error like: I0516 15:40:50.364809 22238 net.cpp:129] Top shape: 1 1 48 64 (3072) I0516 15:40:50.364815 22238 net.cpp:137] Memory required for data: 3158016 I0516 15:40:50.364820 22238 layer_factory.hpp:77] Creating layer conv1_1 I0516 15:40:50.364847 22238 net.cpp:84] Creating Layer conv1_1 I0516 15:40:50.364861 22238 net.cpp:406] conv1_1 <- data I0516 15:40:50.364871 22238 net.cpp:380] conv1_1 -> conv1_1 F0516 15:40:50.366464 22244 data_layer.cpp:89] Check failed: this->transformed_data_.count()
I don't know why it is,I have check the shanghai data, my training picture size as same as yours 384x512 and density map size 48x64. In addition, I notice that your training data size 384x512, but test data size 704x1024, what is the reason, could you give me some ideas ,thank you very much
I have sovled the problem ,it can be trained now