bobby/open_dbm
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

open source pkg v1

Browse Source
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
Download Patch File Download Diff File Expand all files Collapse all files

31
pkg/OpenFace/matlab_version/face_detection/mtcnn/RNet.m Normal file
View File

@@ -0,0 +1,31 @@
function [ out_prob, out_correction ] = RNet( im_data, RNet_mlab )
%PNET Summary of this function goes here
% Detailed explanation goes here
% The convolutional and pooling layers
out = convolution(im_data, RNet_mlab.weights_conv1, RNet_mlab.biases_conv1);
out = PReLU(out, RNet_mlab.prelu_weights_1);
out = max_pooling2(out, 3, 2);
out = convolution(out, RNet_mlab.weights_conv2, RNet_mlab.biases_conv2);
out = PReLU(out, RNet_mlab.prelu_weights_2);
out = max_pooling2(out, 3, 2);
out = convolution(out, RNet_mlab.weights_conv3, RNet_mlab.biases_conv3);
out = PReLU(out, RNet_mlab.prelu_weights_3);
% The fully connected layers
out_fc_1 = zeros(size(out,1)*size(out,2) * size(out,3), size(out,4));
out_fc_1(:) = out(:);
out_fc_1 = out_fc_1' * RNet_mlab.w_fc1 + RNet_mlab.b_fc1';
out_fc_1 = PReLU(out_fc_1, RNet_mlab.prelu_fc1);
out_fc2 = out_fc_1 * RNet_mlab.w_fc2 + RNet_mlab.b_fc2';
out_fc2 = out_fc2';
% Probability of each proposal
out_prob = 1./(1+exp(out_fc2(1,:)-out_fc2(2,:)));
% The correction of each detection
out_correction = out_fc2(3:end,:);
end