forked from pannous/caffe-ocr
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alpha_train_text.prototxt
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alpha_train_text.prototxt
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name: "alpha"
layers {
name: "alpha"
type: IMAGE_DATA
top: "data"
top: "label"
image_data_param {
source: "training_index.txt"
batch_size: 500
is_color: false
}
transform_param {
scale: 0.00390625
}
include: { phase: TRAIN }
}
layers {
name: "alpha"
type: IMAGE_DATA
top: "data"
top: "label"
image_data_param {
source: "test_index.txt"
batch_size: 500
is_color: false
}
transform_param {
scale: 0.00390625
}
include: { phase: TEST }
}
layers {
name: "conv1"
type: CONVOLUTION
bottom: "data"
top: "conv1"
blobs_lr: 1
blobs_lr: 2
convolution_param {
num_output: 20
kernel_size: 5
stride: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layers {
name: "conv2"
type: CONVOLUTION
bottom: "conv1"
top: "conv2"
blobs_lr: 1
blobs_lr: 2
convolution_param {
num_output: 50
kernel_size: 5
stride: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layers{
name: "dropout"
type: DROPOUT
bottom: "conv2"
top: "dropout"
}
layers {
name: "ip1"
type: INNER_PRODUCT
bottom: "dropout"
top: "ip1"
blobs_lr: 1
blobs_lr: 2
inner_product_param {
num_output: 500
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layers {
name: "relu1"
type: RELU
bottom: "ip1"
top: "ip1"
}
layers {
name: "ip2"
type: INNER_PRODUCT
bottom: "ip1"
top: "ip2"
blobs_lr: 1
blobs_lr: 2
inner_product_param {
num_output: 36
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layers {
name: "accuracy"
type: ACCURACY
bottom: "ip2"
bottom: "label"
top: "accuracy"
# include: { phase: TEST }
}
layers {
name: "loss"
type: SOFTMAX_LOSS
bottom: "ip2"
bottom: "label"
top: "loss"
}