train_simple.prototxt

name: "C3D-UCF101Net"
layer {
  name: "data"
  type: "VideoData"
  top: "data"
  top: "label"
  include {
    phase: TRAIN
  }
  transform_param {
    crop_size: 112
    mean_value: 128
    mean_value: 128
    mean_value: 128
    mirror: true
  }
  video_data_param {
    source: "train_01.lst"
    root_folder: "/data/users/trandu/datasets/ucf101/frm/"
    new_length: 16
    new_height: 128
    new_width: 171
    use_image: true
    show_data: false
    batch_size: 10
    shuffle: true
  }
}
layer {
  name: "data"
  type: "VideoData"
  top: "data"
  top: "label"
  include {
    phase: TEST
    stage: "test-on-train"
  }
  transform_param {
    crop_size: 112
    mean_value: 128
    mean_value: 128
    mean_value: 128
    mirror: false
  }
  video_data_param {
    source: "train_01.lst"
    root_folder: "/data/users/trandu/datasets/ucf101/frm/"
    new_length: 16
    new_height: 128
    new_width: 171
    use_image: true
    show_data: false
    batch_size: 30
    shuffle: true
  }
}
layer {
  name: "data"
  type: "VideoData"
  top: "data"
  top: "label"
  include {
    phase: TEST
    stage: "test-on-val"
  }
  transform_param {
    crop_size: 112
    mean_value: 128
    mean_value: 128
    mean_value: 128
    mirror: false
  }
  video_data_param {
    source: "test_01.lst"
    root_folder: "/data/users/trandu/datasets/ucf101/frm/"
    new_length: 16
    new_height: 128
    new_width: 171
    use_image: true
    show_data: false
    batch_size: 30
    shuffle: true
  }
}
# ----- 1st group -----
layer {
  name: "conv1a"
  type: "Convolution3D"
  bottom: "data"
  top: "conv1a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution3d_param {
    num_output: 64
    kernel_size: 3
    kernel_depth: 3
    stride: 1
    temporal_stride: 1
    pad: 1
    temporal_pad: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "relu1a"
  type: "ReLU"
  bottom: "conv1a"
  top: "conv1a"
}
layer {
  name: "pool1"
  type: "Pooling3D"
  bottom: "conv1a"
  top: "pool1"
  pooling3d_param {
    pool: MAX
    kernel_size: 2
    kernel_depth: 1
    stride: 2
    temporal_stride: 1
  }
}

# ----- 2nd group -----
layer {
  name: "conv2a"
  type: "Convolution3D"
  bottom: "pool1"
  top: "conv2a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution3d_param {
    num_output: 128
    kernel_size:3
    kernel_depth: 3
    stride: 1
    temporal_stride: 1
    pad: 1
    temporal_pad: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layer {
  name: "relu2a"
  type: "ReLU"
  bottom: "conv2a"
  top: "conv2a"
}
layer {
  name: "pool2"
  type: "Pooling3D"
  bottom: "conv2a"
  top: "pool2"
  pooling3d_param {
    pool: MAX
    kernel_size: 2
    kernel_depth: 2
    stride: 2
    temporal_stride: 2
  }
}

# ----- 3rd group -----
layer {
  name: "conv3a"
  type: "Convolution3D"
  bottom: "pool2"
  top: "conv3a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution3d_param {
    num_output: 256
    kernel_size: 3
    kernel_depth: 3
    stride: 1
    temporal_stride: 1
    pad: 1
    temporal_pad: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layer {
  name: "relu3a"
  type: "ReLU"
  bottom: "conv3a"
  top: "conv3a"
}
layer {
  name: "pool3"
  type: "Pooling3D"
  bottom: "conv3a"
  top: "pool3"
  pooling3d_param {
    pool: MAX
    kernel_size: 2
    kernel_depth: 2
    stride: 2
    temporal_stride: 2
  }
}

# ----- 4th group -----
layer {
  name: "conv4a"
  type: "Convolution3D"
  bottom: "pool3"
  top: "conv4a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution3d_param {
    num_output: 256
    kernel_size: 3
    kernel_depth: 3
    stride: 1
    temporal_stride: 1
    pad: 1
    temporal_pad: 1    
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layer {
  name: "relu4a"
  type: "ReLU"
  bottom: "conv4a"
  top: "conv4a"
}
layer {
  name: "pool4"
  type: "Pooling3D"
  bottom: "conv4a"
  top: "pool4"
  pooling3d_param {
    pool: MAX
    kernel_size: 2
    kernel_depth: 2
    stride: 2
    temporal_stride: 2
  }
}

# ----- 5th group -----
layer {
  name: "conv5a"
  type: "Convolution3D"
  bottom: "pool4"
  top: "conv5a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution3d_param {
    num_output: 256
    kernel_size: 3
    kernel_depth: 3
    stride: 1
    temporal_stride: 1
    pad: 1
    temporal_pad: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layer {
  name: "relu5a"
  type: "ReLU"
  bottom: "conv5a"
  top: "conv5a"
}
layer {
  name: "pool5"
  type: "Pooling3D"
  bottom: "conv5a"
  top: "pool5"
  pooling3d_param {
    pool: MAX
    kernel_size: 2
    kernel_depth: 2
    stride: 2
    temporal_stride: 2
  }
}

# ----- 1st fc group -----
layer {
  name: "fc6"
  type: "InnerProduct"
  bottom: "pool5"
  top: "fc6"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 2048
    weight_filler {
      type: "gaussian"
      std: 0.005
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layer {
  name: "relu6"
  type: "ReLU"
  bottom: "fc6"
  top: "fc6"
}
layer {
  name: "drop6"
  type: "Dropout"
  bottom: "fc6"
  top: "fc6"
  dropout_param {
    dropout_ratio: 0.5
  }
}

# ----- 2nd fc group -----
layer {
  name: "fc7"
  type: "InnerProduct"
  bottom: "fc6"
  top: "fc7"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 2048
    weight_filler {
      type: "gaussian"
      std: 0.005
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layer {
  name: "relu7"
  type: "ReLU"
  bottom: "fc7"
  top: "fc7"
}
layer {
  name: "drop7"
  type: "Dropout"
  bottom: "fc7"
  top: "fc7"
  dropout_param {
    dropout_ratio: 0.5
  }
}

# ----- 3rd fc group -----
layer {
  name: "fc8"
  type: "InnerProduct"
  bottom: "fc7"
  top: "fc8"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 101
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "prob"
  type: "Softmax"
  bottom: "fc8"
  top: "prob"
  include {
    phase: TEST
  }
}
layer {
  name: "accuracy"
  type: "Accuracy"
  bottom: "prob"
  bottom: "label"
  top: "accuracy/top-1"
  include {
    phase: TEST
  }
}
layer {
  name: "accuracy"
  type: "Accuracy"
  bottom: "prob"
  bottom: "label"
  top: "accuracy/top-5"
  include {
    phase: TEST
  }
  accuracy_param {
    top_k: 5
  }
}
layer {
  name: "loss"
  type: "SoftmaxWithLoss"
  bottom: "fc8"
  bottom: "label"
  top: "loss"
}