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TVG_CRFRNN_COCO_VOC_TRAIN_3_CLASSES.prototxt
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TVG_CRFRNN_COCO_VOC_TRAIN_3_CLASSES.prototxt
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name: 'TVG_CRF_RNN_COCO_VOC_TRAIN_3_CLASSES'
layers {
name: "data"
type: DATA
top: "data"
include {
phase: TRAIN
}
transform_param {
mean_value: 130.4265
mean_value: 111.4584
mean_value: 103.3727
}
data_param {
source: "./train_images_3_lmdb"
batch_size: 1
backend: LMDB
}
}
layers {
name: "label"
type: DATA
top: "label"
include {
phase: TRAIN
}
data_param {
source: "./train_labels_3_lmdb"
batch_size: 1
backend: LMDB
}
}
layers {
name: "data"
type: DATA
top: "data"
include {
phase: TEST
}
transform_param {
mean_value: 130.4265
mean_value: 111.4584
mean_value: 103.3727
}
data_param {
source: "./test_images_3_lmdb"
batch_size: 1
backend: LMDB
}
}
layers {
name: "label"
type: DATA
top: "label"
include {
phase: TEST
}
data_param {
source: "./test_labels_3_lmdb"
batch_size: 1
backend: LMDB
}
}
layers { bottom: 'data' top: 'conv1_1' name: 'conv1_1' type: CONVOLUTION
blobs_lr: 1 blobs_lr: 2 weight_decay: 1 weight_decay: 0
convolution_param { engine: CAFFE num_output: 64 pad: 100 kernel_size: 3 } }
layers { bottom: 'conv1_1' top: 'conv1_1' name: 'relu1_1' type: RELU }
layers { bottom: 'conv1_1' top: 'conv1_2' name: 'conv1_2' type: CONVOLUTION
blobs_lr: 1 blobs_lr: 2 weight_decay: 1 weight_decay: 0
convolution_param { engine: CAFFE num_output: 64 pad: 1 kernel_size: 3 } }
layers { bottom: 'conv1_2' top: 'conv1_2' name: 'relu1_2' type: RELU }
layers { name: 'pool1' bottom: 'conv1_2' top: 'pool1' type: POOLING
pooling_param { pool: MAX kernel_size: 2 stride: 2 } }
layers { name: 'conv2_1' bottom: 'pool1' top: 'conv2_1' type: CONVOLUTION
blobs_lr: 1 blobs_lr: 2 weight_decay: 1 weight_decay: 0
convolution_param { engine: CAFFE num_output: 128 pad: 1 kernel_size: 3 } }
layers { bottom: 'conv2_1' top: 'conv2_1' name: 'relu2_1' type: RELU }
layers { bottom: 'conv2_1' top: 'conv2_2' name: 'conv2_2' type: CONVOLUTION
blobs_lr: 1 blobs_lr: 2 weight_decay: 1 weight_decay: 0
convolution_param { engine: CAFFE num_output: 128 pad: 1 kernel_size: 3 } }
layers { bottom: 'conv2_2' top: 'conv2_2' name: 'relu2_2' type: RELU }
layers { bottom: 'conv2_2' top: 'pool2' name: 'pool2' type: POOLING
pooling_param { pool: MAX kernel_size: 2 stride: 2 } }
layers { bottom: 'pool2' top: 'conv3_1' name: 'conv3_1' type: CONVOLUTION
blobs_lr: 1 blobs_lr: 2 weight_decay: 1 weight_decay: 0
convolution_param { engine: CAFFE num_output: 256 pad: 1 kernel_size: 3 } }
layers { bottom: 'conv3_1' top: 'conv3_1' name: 'relu3_1' type: RELU }
layers { bottom: 'conv3_1' top: 'conv3_2' name: 'conv3_2' type: CONVOLUTION
blobs_lr: 1 blobs_lr: 2 weight_decay: 1 weight_decay: 0
convolution_param { engine: CAFFE num_output: 256 pad: 1 kernel_size: 3 } }
layers { bottom: 'conv3_2' top: 'conv3_2' name: 'relu3_2' type: RELU }
layers { bottom: 'conv3_2' top: 'conv3_3' name: 'conv3_3' type: CONVOLUTION
blobs_lr: 1 blobs_lr: 2 weight_decay: 1 weight_decay: 0
convolution_param { engine: CAFFE num_output: 256 pad: 1 kernel_size: 3 } }
layers { bottom: 'conv3_3' top: 'conv3_3' name: 'relu3_3' type: RELU }
layers { bottom: 'conv3_3' top: 'pool3' name: 'pool3' type: POOLING
pooling_param { pool: MAX kernel_size: 2 stride: 2 } }
layers { bottom: 'pool3' top: 'conv4_1' name: 'conv4_1' type: CONVOLUTION
blobs_lr: 1 blobs_lr: 2 weight_decay: 1 weight_decay: 0
convolution_param { engine: CAFFE num_output: 512 pad: 1 kernel_size: 3 } }
layers { bottom: 'conv4_1' top: 'conv4_1' name: 'relu4_1' type: RELU }
layers { bottom: 'conv4_1' top: 'conv4_2' name: 'conv4_2' type: CONVOLUTION
blobs_lr: 1 blobs_lr: 2 weight_decay: 1 weight_decay: 0
convolution_param { engine: CAFFE num_output: 512 pad: 1 kernel_size: 3 } }
layers { bottom: 'conv4_2' top: 'conv4_2' name: 'relu4_2' type: RELU }
layers { bottom: 'conv4_2' top: 'conv4_3' name: 'conv4_3' type: CONVOLUTION
blobs_lr: 1 blobs_lr: 2 weight_decay: 1 weight_decay: 0
convolution_param { engine: CAFFE num_output: 512 pad: 1 kernel_size: 3 } }
layers { bottom: 'conv4_3' top: 'conv4_3' name: 'relu4_3' type: RELU }
layers { bottom: 'conv4_3' top: 'pool4' name: 'pool4' type: POOLING
pooling_param { pool: MAX kernel_size: 2 stride: 2 } }
layers { bottom: 'pool4' top: 'conv5_1' name: 'conv5_1' type: CONVOLUTION
blobs_lr: 1 blobs_lr: 2 weight_decay: 1 weight_decay: 0
convolution_param { engine: CAFFE num_output: 512 pad: 1 kernel_size: 3 } }
layers { bottom: 'conv5_1' top: 'conv5_1' name: 'relu5_1' type: RELU }
layers { bottom: 'conv5_1' top: 'conv5_2' name: 'conv5_2' type: CONVOLUTION
blobs_lr: 1 blobs_lr: 2 weight_decay: 1 weight_decay: 0
convolution_param { engine: CAFFE num_output: 512 pad: 1 kernel_size: 3 } }
layers { bottom: 'conv5_2' top: 'conv5_2' name: 'relu5_2' type: RELU }
layers { bottom: 'conv5_2' top: 'conv5_3' name: 'conv5_3' type: CONVOLUTION
blobs_lr: 1 blobs_lr: 2 weight_decay: 1 weight_decay: 0
convolution_param { engine: CAFFE num_output: 512 pad: 1 kernel_size: 3 } }
layers { bottom: 'conv5_3' top: 'conv5_3' name: 'relu5_3' type: RELU }
layers { bottom: 'conv5_3' top: 'pool5' name: 'pool5' type: POOLING
pooling_param { pool: MAX kernel_size: 2 stride: 2 } }
layers { bottom: 'pool5' top: 'fc6' name: 'fc6' type: CONVOLUTION
blobs_lr: 1 blobs_lr: 2 weight_decay: 1 weight_decay: 0
convolution_param { engine: CAFFE kernel_size: 7 num_output: 4096 } }
layers { bottom: 'fc6' top: 'fc6' name: 'relu6' type: RELU }
layers { bottom: 'fc6' top: 'fc6' name: 'drop6' type: DROPOUT
dropout_param { dropout_ratio: 0.5 } }
layers { bottom: 'fc6' top: 'fc7' name: 'fc7' type: CONVOLUTION
blobs_lr: 1 blobs_lr: 2 weight_decay: 1 weight_decay: 0
convolution_param { engine: CAFFE kernel_size: 1 num_output: 4096 } }
layers { bottom: 'fc7' top: 'fc7' name: 'relu7' type: RELU }
layers { bottom: 'fc7' top: 'fc7' name: 'drop7' type: DROPOUT
dropout_param { dropout_ratio: 0.5 } }
layers { name: 'score-fr-ft' type: CONVOLUTION bottom: 'fc7' top: 'score-ft'
blobs_lr: 1 blobs_lr: 2 weight_decay: 1 weight_decay: 0
convolution_param { engine: CAFFE num_output: 4 kernel_size: 1 # CHANGED 3 + 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
} }
layers { type: DECONVOLUTION name: 'score2-ft' bottom: 'score-ft' top: 'score2-ft'
blobs_lr: 1 blobs_lr: 2 weight_decay: 1 weight_decay: 0
convolution_param { kernel_size: 4 stride: 2 num_output: 4 # CHANGED 3 + 1
bias_filler { # added Martin Kersner, 2016/03/07
type: "constant"
value: 0.2
}
} }
layers { name: 'score-pool4-ft' type: CONVOLUTION bottom: 'pool4' top: 'score-pool4-ft'
blobs_lr: 1 blobs_lr: 2 weight_decay: 1 weight_decay: 0
convolution_param { engine: CAFFE num_output: 4 kernel_size: 1 # CHANGED 3 + 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
} }
layers { type: CROP name: 'crop-ft' bottom: 'score-pool4-ft' bottom: 'score2-ft'
top: 'score-pool4c-ft' }
layers { type: ELTWISE name: 'fuse-ft' bottom: 'score2-ft' bottom: 'score-pool4c-ft'
top: 'score-fused-ft'
eltwise_param { operation: SUM } }
layers { type: DECONVOLUTION name: 'score4-ft' bottom: 'score-fused-ft'
top: 'score4-ft'
blobs_lr: 1 weight_decay: 1
convolution_param { bias_term: false kernel_size: 4 stride: 2 num_output: 4 } } # CHANGED 3 + 1
layers { name: 'score-pool3-ft' type: CONVOLUTION bottom: 'pool3' top: 'score-pool3-ft'
blobs_lr: 1 blobs_lr: 2 weight_decay: 1 weight_decay: 0
convolution_param { engine: CAFFE num_output: 4 kernel_size: 1 # CHANGED 3 + 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
} }
layers { type: CROP name: 'crop-ft' bottom: 'score-pool3-ft' bottom: 'score4-ft'
top: 'score-pool3c-ft' }
layers { type: ELTWISE name: 'fuse-ft' bottom: 'score4-ft' bottom: 'score-pool3c-ft'
top: 'score-final-ft'
eltwise_param { operation: SUM } }
layers { type: DECONVOLUTION name: 'upsample-ft'
bottom: 'score-final-ft' top: 'bigscore-ft'
blobs_lr: 0
convolution_param { bias_term: false num_output: 4 kernel_size: 16 stride: 8 } } # CHANGED 3 + 1
layers { type: CROP name: 'crop-ft' bottom: 'bigscore-ft' bottom: 'data' top: 'coarse-ft' }
layers { type: SPLIT name: 'splitting-ft'
bottom: 'coarse-ft' top: 'unary-ft' top: 'Q0-ft'
}
layers {
name: "inference1-ft"
type: MULTI_STAGE_MEANFIELD
bottom: "unary-ft"
bottom: "Q0-ft"
bottom: "data"
top: "pred-ft"
blobs_lr: 0.001
blobs_lr: 0.001
blobs_lr: 0.01 #new parameter
#blobs_lr: 10000
#blobs_lr: 10000
#blobs_lr: 1000 #new parameter
multi_stage_meanfield_param {
num_iterations: 5
compatibility_mode: POTTS
threshold: 2
theta_alpha: 160
theta_beta: 3
theta_gamma: 3
spatial_filter_weight: 3
bilateral_filter_weight: 5
}
}
layers {
type: SOFTMAX_LOSS
name: 'loss-ft'
top: 'loss-ft'
bottom: 'pred-ft'
bottom: 'label'
loss_param { normalize: false }
}