happynear / painregression Goto Github PK

when I run ./scripts/extract_feature.m, I got the following error messages:

I1119 12:20:25.223507 9956 layer_factory.hpp:77] Creating layer data
I1119 12:20:25.223526 9956 net.cpp:84] Creating Layer data
I1119 12:20:25.223532 9956 net.cpp:380] data -> data
I1119 12:20:25.223543 9956 net.cpp:380] data -> label
I1119 12:20:25.223556 9956 image_data_layer.cpp:39] Opening file /home/tt/TOSHIBA/deepFaceStuff/PainRegression/prototxt/sublist/1/list_val.txt
I1119 12:20:25.562822 9956 image_data_layer.cpp:107] A total of 2134 images.
E1119 12:20:25.563374 9956 io.cpp:91] Could not open or find file I1119 12:20:25.223507 9956 layer_factory.hpp:77] Creating layer data
I1119 12:20:25.223526 9956 net.cpp:84] Creating Layer data
I1119 12:20:25.223532 9956 net.cpp:380] data -> data
I1119 12:20:25.223543 9956 net.cpp:380] data -> label
I1119 12:20:25.223556 9956 image_data_layer.cpp:39] Opening file /home/tt/TOSHIBA/deepFaceStuff/PainRegression/prototxt/sublist/1/list_val.txt
I1119 12:20:25.562822 9956 image_data_layer.cpp:107] A total of 2134 images.
E1119 12:20:25.563374 9956 io.cpp:91] Could not open or find file /home/tt/TOSHIBA/deepFaceStuff/Data/aligned-Images042-ll042/ll042t1aaaff/ll042t1aaaff001.png
F1119 12:20:25.563396 9956 image_data_layer.cpp:127] Check failed: cv_img.data Could not load /home/tt/TOSHIBA/deepFaceStuff/Data/aligned-Images042-ll042/ll042t1aaaff/ll042t1aaaff001.png
*** Check failure stack trace: ***

F1119 12:20:25.563396 9956 image_data_layer.cpp:127] Check failed: cv_img.data Could not load /home/tt/TOSHIBA/deepFaceStuff/Data/aligned-Images042-ll042/ll042t1aaaff/ll042t1aaaff001.png
*** Check failure stack trace: ***

how ever /TOSHIBA/deepFaceStuff/Data/aligned-Images042-ll042/ll042t1aaaff/ll042t1aaaff001.png is just there

new_height and new_width are both zero before calling

cv::Mat cv_img = ReadImageToCVMat(root_folder + lines_[lines_id_].first, new_height, new_width, is_color);

in image_data_layer.cpp

Hi!

I have been trying to you your model in python in a inferece mode over another dataset and I do not get the pain detection correctly.

I am using the trained weights that you provide in google drive and the graph that I use is face_deploy.prototxt with a little change in the InputData layer by this:

layer {
  name: "data"
  type: "Input"
  top: "data"
  input_param {
    shape: { dim: 1 dim: 3 dim: 112 dim: 96 }
  }
  transform_param {
    mean_value: 128
    scale: 0.0078125
  }
}

I think that my python code is correct so I do not know what may be going wrong. Do you have any idea? Thank you