Hi, Richard,
I have some question about difference between
./colorization/model/colorization_deploy_v2.prototxt
and
./colorization/model/colorization_train_val_v2.prototxt
in the end of colorization_deploy_v2.prototxt , you setup such a layer :
**
Decoding
**
layer {
name: "class8_ab"
type: "Convolution"
bottom: "class8_313_rh"
top: "class8_ab"
convolution_param {
num_output: 2
kernel_size: 1
stride: 1
dilation: 1
}
}
but this layer seems not be trained in colorization_train_val_v2.prototxt , so I can not understand how it maps the 313x64x64 to 2x224x224 , could you tell me why does it work ?
Hi, Richard, I have some question about difference between ./colorization/model/colorization_deploy_v2.prototxt and ./colorization/model/colorization_train_val_v2.prototxt
in the end of colorization_deploy_v2.prototxt , you setup such a layer :
**
Decoding
**
layer { name: "class8_ab" type: "Convolution" bottom: "class8_313_rh" top: "class8_ab" convolution_param { num_output: 2 kernel_size: 1 stride: 1 dilation: 1 } } but this layer seems not be trained in colorization_train_val_v2.prototxt , so I can not understand how it maps the 313x64x64 to 2x224x224 , could you tell me why does it work ?
Thank you very much