Check failed: axis_index < num_axes() (1 vs. 0) axis 1 out of range for 0-D Blob with shape (0)

[youthM]

When I run the code from GitHub，which is “Face_Alignment_Two_Stage_Re-initialization”,I got the following error:
I0911 08:08:29.921020 12228 layer_factory.hpp:88] Creating layer input
I0911 08:08:29.922020 12228 net.cpp:100] Creating Layer input
I0911 08:08:29.922020 12228 net.cpp:418] input -> data
I0911 08:08:29.923020 12228 net.cpp:150] Setting up input
I0911 08:08:29.924021 12228 net.cpp:157] Top shape: 1 3 448 448 (602112)
I0911 08:08:29.927022 12228 net.cpp:165] Memory required for data: 2408448
I0911 08:08:29.927022 12228 layer_factory.hpp:88] Creating layer data_input_0_split
I0911 08:08:29.928025 12228 net.cpp:100] Creating Layer data_input_0_split
I0911 08:08:29.928025 12228 net.cpp:444] data_input_0_split <- data
I0911 08:08:29.929024 12228 net.cpp:418] data_input_0_split -> data_input_0_split_0
I0911 08:08:29.930024 12228 net.cpp:418] data_input_0_split -> data_input_0_split_1
I0911 08:08:29.930024 12228 net.cpp:150] Setting up data_input_0_split
I0911 08:08:29.930024 12228 net.cpp:157] Top shape: 1 3 448 448 (602112)
I0911 08:08:29.932025 12228 net.cpp:157] Top shape: 1 3 448 448 (602112)
I0911 08:08:29.932025 12228 net.cpp:165] Memory required for data: 7225344
I0911 08:08:29.932025 12228 layer_factory.hpp:88] Creating layer downsample_data
I0911 08:08:29.932025 12228 net.cpp:100] Creating Layer downsample_data
I0911 08:08:29.932025 12228 net.cpp:444] downsample_data <- data_input_0_split_0
I0911 08:08:29.932025 12228 net.cpp:418] downsample_data -> downsample_data
I0911 08:08:29.932025 12228 net.cpp:150] Setting up downsample_data
I0911 08:08:29.932025 12228 net.cpp:157] Top shape: (0)
I0911 08:08:29.932025 12228 net.cpp:165] Memory required for data: 7225344
I0911 08:08:29.933027 12228 layer_factory.hpp:88] Creating layer net1_conv1
I0911 08:08:29.933027 12228 net.cpp:100] Creating Layer net1_conv1
I0911 08:08:29.933027 12228 net.cpp:444] net1_conv1 <- downsample_data
I0911 08:08:29.933027 12228 net.cpp:418] net1_conv1 -> net1_conv1
F0911 08:08:29.933027 12228 blob.hpp:122] Check failed: axis_index < num_axes() (1 vs. 0) axis 1 out of range for 0-D Blob with shape (0)
*** Check failure stack trace: ***

The part of the deploy is as follows.

name: "facial_point_net"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 448
input_dim: 448

layer {
name: "downsample_data"
type: "SubsamplePooling"
bottom: "data"
top: "downsample_data"
subsample_pooling_param {
output_H: 60
output_W: 60
}
}
##########################################
layer {
name: "net1_conv1"
type: "Convolution"
bottom: "downsample_data"
top: "net1_conv1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 20
pad: 0
kernel_size: 5
stride: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "net1_PReLU1"
type: "PReLU"
bottom: "net1_conv1"
top: "net1_conv1"
}

layer {
name: "net1_pool1"
type: "Pooling"
bottom: "net1_conv1"
top: "net1_pool1"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}

Does anyone know what the problem is ?

[kivoimusa]

How did you go about this issue? I'm facing similar problem can you assist.

[dragonQian]

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