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open source pkg v1

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This commit is contained in:
Vijay Yadev
2020-08-04 19:12:31 -04:00
parent bef213dba9
commit c389fc2c47
3708 changed files with 1624220 additions and 1 deletions
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37
pkg/OpenFace/model_training/AU_training/experiments/utilities/writeMatrixBin.m Normal file
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% for easier readibility write them row by row
function writeMatrixBin(fileID, M, type)
% 4 bytes each for the description
fwrite(fileID, size(M,1), 'uint');
fwrite(fileID, size(M,2), 'uint');
fwrite(fileID, type, 'uint');
% Convert the matrix to OpenCV format (row minor as opposed to column
% minor)
M = M';
% type 0 - uint8, 1 - int8, 2 - uint16, 3 - int16, 4 - int, 5 -
% float32, 6 - float64
% Write out the matrix itself
switch type
case 0
type = 'uint8';
case 1
type = 'int8';
case 2
type = 'uint16';
case 3
type = 'int16';
case 4
type = 'int';
case 5
type = 'float32';
case 6
type = 'float64';
otherwise
type = 'float32';
end
fwrite(fileID, M, type);
end

28
pkg/OpenFace/model_training/AU_training/experiments/utilities/write_lin_dyn_svm.m Normal file
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function [ success ] = write_lin_dyn_svm( location, means, w, b, pos_lbl, neg_lbl)
%WRITE_LIN_SVR Summary of this function goes here
% Detailed explanation goes here
fileID = fopen(location, 'w');
if(fileID ~= -1)
% Write the regressor type 5 - linear dynamic SVM
fwrite(fileID, 5, 'uint');
writeMatrixBin(fileID, means, 6);
writeMatrixBin(fileID, w, 6);
fwrite(fileID, b, 'float64');
fwrite(fileID, pos_lbl, 'float64');
fwrite(fileID, neg_lbl, 'float64');
fclose(fileID);
success = true;
else
success = false;
end
end

27
pkg/OpenFace/model_training/AU_training/experiments/utilities/write_lin_dyn_svr.m Normal file
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function [ success ] = write_lin_dyn_svr( location, means, w, b, cutoff)
%WRITE_LIN_SVR Summary of this function goes here
% Detailed explanation goes here
fileID = fopen(location, 'w');
if(fileID ~= -1)
% Write the regressor type 1 - linear dynamic SVR
fwrite(fileID, 1, 'uint');
fwrite(fileID, cutoff, 'float64');
writeMatrixBin(fileID, means, 6);
writeMatrixBin(fileID, w, 6);
fwrite(fileID, b, 'float64');
fclose(fileID);
success = true;
else
success = false;
end
end

28
pkg/OpenFace/model_training/AU_training/experiments/utilities/write_lin_svm.m Normal file
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function [ success ] = write_lin_svm( location, means, w, b, pos_lbl, neg_lbl)
%WRITE_LIN_SVR Summary of this function goes here
% Detailed explanation goes here
fileID = fopen(location, 'w');
if(fileID ~= -1)
% Write the regressor type 4 - linear SVM
fwrite(fileID, 4, 'uint');
writeMatrixBin(fileID, means, 6);
writeMatrixBin(fileID, w, 6);
fwrite(fileID, b, 'float64');
fwrite(fileID, pos_lbl, 'float64');
fwrite(fileID, neg_lbl, 'float64');
fclose(fileID);
success = true;
else
success = false;
end
end

25
pkg/OpenFace/model_training/AU_training/experiments/utilities/write_lin_svr.m Normal file
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function [ success ] = write_lin_svr( location, means, w, b)
%WRITE_LIN_SVR Summary of this function goes here
% Detailed explanation goes here
fileID = fopen(location, 'w');
if(fileID ~= -1)
% Write the regressor type 0 - linear SVR
fwrite(fileID, 0, 'uint');
writeMatrixBin(fileID, means, 6);
writeMatrixBin(fileID, w, 6);
fwrite(fileID, b, 'float64');
fclose(fileID);
success = true;
else
success = false;
end
end