Hello, when I am using your code in my computer, I found this problem.
When I configured the caffe and run python run_saliency.py in the main directory, this error occured
I1018 16:44:03.186270 3995 solver.cpp:86] Creating training net from train_net file: train_val.prototxt
[libprotobuf ERROR google/protobuf/text_format.cc:245] Error parsing text-format caffe.NetParameter: 20:14: Message type "caffe.ImageDataParameter" has no field named "normalize".
F1018 16:44:03.186388 3995 upgrade_proto.cpp:934] Check failed: ReadProtoFromTextFile(param_file, param) Failed to parse NetParameter file: train_val.prototxt.
I checked the file train_val.prototxt, it had the param 'normalize' like this:
layer {
name: "data"
type: "ImageLabelmapData"
top: "data"
top: "label"
include { phase: TRAIN }
transform_param {
mirror: true
mean_value: 104.00699
mean_value: 116.66877
mean_value: 122.67892
}
image_data_param {
root_folder: "/opt/dataset/saliency/msra_b/"
source: "../../data/msra_b/train.lst"
batch_size: 1
shuffle: true
normalize: true
}
}
Hello, when I am using your code in my computer, I found this problem. When I configured the caffe and run python run_saliency.py in the main directory, this error occured
I1018 16:44:03.186270 3995 solver.cpp:86] Creating training net from train_net file: train_val.prototxt [libprotobuf ERROR google/protobuf/text_format.cc:245] Error parsing text-format caffe.NetParameter: 20:14: Message type "caffe.ImageDataParameter" has no field named "normalize". F1018 16:44:03.186388 3995 upgrade_proto.cpp:934] Check failed: ReadProtoFromTextFile(param_file, param) Failed to parse NetParameter file: train_val.prototxt.
I checked the file train_val.prototxt, it had the param 'normalize' like this: layer { name: "data" type: "ImageLabelmapData" top: "data" top: "label" include { phase: TRAIN } transform_param { mirror: true mean_value: 104.00699 mean_value: 116.66877 mean_value: 122.67892 } image_data_param { root_folder: "/opt/dataset/saliency/msra_b/" source: "../../data/msra_b/train.lst" batch_size: 1 shuffle: true normalize: true } }
Any idea?