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@clancylian mobilenet is OK feature have a little not same
res50 model ,the Deconclution shape error I should know modify the two layer?, the crop param only inter.
layer { bottom: "rf_c2_aggr_relu" top: "rf_c2_upsampling" name: "rf_c2_upsampling" type: "Deconvolution" convolution_param { num_output: 64 kernel_size: 4 stride: 2 pad: 1 group: 64 bias_term: false weight_filler: { type: "bilinear" } } }
layer { bottom: "rf_c2_upsampling" bottom: "rf_c1_red_conv_relu" top: "crop1" name: "crop1" type: "Crop" crop_param { axis: 1 offset: 0 offset: 0 offset: 0 } }
The text was updated successfully, but these errors were encountered:
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@clancylian
mobilenet is OK feature have a little not same
res50 model ,the Deconclution shape error
I should know modify the two layer?,
the crop param only inter.
layer {
bottom: "rf_c2_aggr_relu"
top: "rf_c2_upsampling"
name: "rf_c2_upsampling"
type: "Deconvolution"
convolution_param {
num_output: 64
kernel_size: 4
stride: 2
pad: 1
group: 64
bias_term: false
weight_filler: {
type: "bilinear"
}
}
}
layer {
bottom: "rf_c2_upsampling"
bottom: "rf_c1_red_conv_relu"
top: "crop1"
name: "crop1"
type: "Crop"
crop_param {
axis: 1
offset: 0
offset: 0
offset: 0
}
}
The text was updated successfully, but these errors were encountered: