I solved! I don't know why but if I paste the command instead to run the script it works. Maybe something related to file-format. Thanks for the support!

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@MarcoSaku This says that you prototxt file has not layer named "prob" but you want to extract feature with name prob. Please correct your "./proto_files/conv3d_ucf101_test_nobias.prototxt"

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This is my prototxt. As you can see there is a layer "prob". I tried also with other layers and it doesn't work

./proto_files/conv3d_ucf101_test_nobias.prototxt

name: "deep_c3d_ucf101"
layers {
name: "data"
type: VIDEO_DATA
top: "data"
top: "label"
image_data_param {
source: "./lst_files/my_test_3classes.lst"
use_image: true
mean_file: "ucf101_train_mean.binaryproto"
batch_size: 4
crop_size: 112
mirror: false
show_data: 0
new_height: 128
new_width: 171
new_length: 16
shuffle: false
}
}

----------- 1st layer group ---------------

layers {
name: "conv1a"
type: CONVOLUTION3D
bottom: "data"
top: "conv1a"
blobs_lr: 1
blobs_lr: 0
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 64
kernel_size: 3
kernel_depth: 3
pad: 1
temporal_pad: 1
stride: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layers {
name: "relu1a"
type: RELU
bottom: "conv1a"
top: "conv1a"
}
layers {
name: "pool1"
type: POOLING3D
bottom: "conv1a"
top: "pool1"
pooling_param {
pool: MAX
kernel_size: 2
kernel_depth: 1
stride: 2
temporal_stride: 1
}
}

------------- 2nd layer group --------------

layers {
name: "conv2a"
type: CONVOLUTION3D
bottom: "pool1"
top: "conv2a"
blobs_lr: 1
blobs_lr: 0
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 128
kernel_size: 3
kernel_depth: 3
pad: 1
temporal_pad: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layers {
name: "relu2a"
type: RELU
bottom: "conv2a"
top: "conv2a"
}
layers {
name: "pool2"
type: POOLING3D
bottom: "conv2a"
top: "pool2"
pooling_param {
pool: MAX
kernel_size: 2
kernel_depth: 2
stride: 2
temporal_stride: 2
}
}

----------------- 3rd layer group --------------

layers {
name: "conv3a"
type: CONVOLUTION3D
bottom: "pool2"
top: "conv3a"
blobs_lr: 1
blobs_lr: 0
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 256
kernel_size: 3
kernel_depth: 3
pad: 1
temporal_pad: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layers {
name: "relu3a"
type: RELU
bottom: "conv3a"
top: "conv3a"
}
layers {
name: "pool3"
type: POOLING3D
bottom: "conv3a"
top: "pool3"
pooling_param {
pool: MAX
kernel_size: 2
kernel_depth: 2
stride: 2
temporal_stride: 2
}
}

--------- 4th layer group

layers {
name: "conv4a"
type: CONVOLUTION3D
bottom: "pool3"
top: "conv4a"
blobs_lr: 1
blobs_lr: 0
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 256
kernel_size: 3
kernel_depth: 3
pad: 1
temporal_pad: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layers {
name: "relu4a"
type: RELU
bottom: "conv4a"
top: "conv4a"
}
layers {
name: "pool4"
type: POOLING3D
bottom: "conv4a"
top: "pool4"
pooling_param {
pool: MAX
kernel_size: 2
kernel_depth: 2
stride: 2
temporal_stride: 2
}
}

--------------- 5th layer group --------

layers {
name: "conv5a"
type: CONVOLUTION3D
bottom: "pool4"
top: "conv5a"
blobs_lr: 1
blobs_lr: 0
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 256
kernel_size: 3
kernel_depth: 3
pad: 1
temporal_pad: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layers {
name: "relu5a"
type: RELU
bottom: "conv5a"
top: "conv5a"
}
layers {
name: "pool5"
type: POOLING3D
bottom: "conv5a"
top: "pool5"
pooling_param {
pool: MAX
kernel_size: 2
kernel_depth: 2
stride: 2
temporal_stride: 2
}
}

---------------- fc layers -------------

layers {
name: "fc6"
type: INNER_PRODUCT
bottom: "pool5"
top: "fc6"
blobs_lr: 1
blobs_lr: 0
weight_decay: 1
weight_decay: 0
inner_product_param {
num_output: 2048
weight_filler {
type: "gaussian"
std: 0.005
}
bias_filler {
type: "constant"
value: 0
}
}
}
layers {
name: "relu6"
type: RELU
bottom: "fc6"
top: "fc6"
}
layers {
name: "drop6"
type: DROPOUT
bottom: "fc6"
top: "fc6"
dropout_param {
dropout_ratio: 0.5
}
}
layers {
name: "fc7"
type: INNER_PRODUCT
bottom: "fc6"
top: "fc7"
blobs_lr: 1
blobs_lr: 0
weight_decay: 1
weight_decay: 0
inner_product_param {
num_output: 2048
weight_filler {
type: "gaussian"
std: 0.005
}
bias_filler {
type: "constant"
value: 0
}
}
}
layers {
name: "relu7"
type: RELU
bottom: "fc7"
top: "fc7"
}
layers {
name: "drop7"
type: DROPOUT
bottom: "fc7"
top: "fc7"
dropout_param {
dropout_ratio: 0.5
}
}
layers {
name: "fc8"
type: INNER_PRODUCT
bottom: "fc7"
top: "fc8"
blobs_lr: 1
blobs_lr: 0
weight_decay: 1
weight_decay: 0
inner_product_param {
num_output: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layers {
name: "prob"
type: SOFTMAX
bottom: "fc8"
top: "prob"
}
layers {
top: "accuracy"
name: "accuracy"
type: ACCURACY
bottom: "prob"
bottom: "label"
}

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Glad to hear.

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@MarcoSaku faced with the same problem, don't know why either...

from c3d.

I solved! I don't know why but if I paste the command instead to run the script it works. Maybe something related to file-format. Thanks for the support!

try to use 'dos2unix' to change the format of the shell file, such as "dos2unix -n c3d_sport1m_feature_extraction_frm.sh tt1.sh", then "sh tt1.sh",It's OK.

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