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Hi, i use the pretrain caffe mobilefacenet convert to NCNN, that is OK. But when i use ncnn2mem, error as:
./ncnn2mem mobilefacenet.param mobilefacenet.parm.bin mobilefacenet.id.h mobilefacenet.mem.h
find_blob_index_by_name data failed 段错误 (核心已转储)
could you do me a favor, thanks.
PS. the head of mobilefacenet_deploy.prototxt as:
name:"Caffe_MobileFaceNet"
input: "data" input_dim: 1 input_dim: 3 input_dim: 112 input_dim: 96
############## CNN Architecture ###############
layer { name: "conv1" type: "Convolution" bottom: "data" top: "conv1" param { lr_mult: 1 decay_mult: 1 } param { lr_mult: 2 decay_mult: 0 } convolution_param { num_output: 64 kernel_size: 3 stride: 2 pad: 1 weight_filler { type: "xavier" } bias_filler { type: "constant" value: 0 } } } layer { name: "conv1/bn" type: "BatchNorm" bottom: "conv1" top: "conv1" param { lr_mult: 0 decay_mult: 0 } param { lr_mult: 0 decay_mult: 0 } param { lr_mult: 0 decay_mult: 0 } }
The text was updated successfully, but these errors were encountered:
Change input: "data" input_dim: 1 input_dim: 3 input_dim: 112 input_dim: 96 To layer { name: "data" type: "Input" top: "data" input_param { shape: { dim: 1 dim: 3 dim: 112 dim: 96 } } }
Sorry, something went wrong.
that is works. thanks. @lvpchen
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Hi,
i use the pretrain caffe mobilefacenet convert to NCNN, that is OK. But when i use ncnn2mem, error as:
./ncnn2mem mobilefacenet.param mobilefacenet.parm.bin mobilefacenet.id.h mobilefacenet.mem.h
find_blob_index_by_name data failed
段错误 (核心已转储)
could you do me a favor, thanks.
PS.
the head of mobilefacenet_deploy.prototxt as:
name:"Caffe_MobileFaceNet"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 112
input_dim: 96
############## CNN Architecture ###############
layer {
name: "conv1"
type: "Convolution"
bottom: "data"
top: "conv1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 3
stride: 2
pad: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv1/bn"
type: "BatchNorm"
bottom: "conv1"
top: "conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
The text was updated successfully, but these errors were encountered: