acaglayan / exploitcnn-rnn Goto Github PK

When I run this demo by using the depth images from washington rgbd datasets, the accuracy is 0%. What can I do? Hope for your answer, plz.

Accuracy = 0% (0/692)
Liblinear Test Accuracy: 0.000000

Classification result of Depth (Layer-3 + Layer-4)...
Accuracy = 0% (0/692)
Liblinear Test Accuracy: 0.000000

Classification result of Depth (Layer-3 + Layer-5)...
Accuracy = 0% (0/692)
Liblinear Test Accuracy: 0.000000

Classification result of Depth (Layer-4 + Layer-5)...
Accuracy = 0% (0/692)
Liblinear Test Accuracy: 0.000000

Classification result of Depth (Layer-3 + Layer-4 + Layer-5)...
Accuracy = 0% (0/692)
Liblinear Test Accuracy: 0.000000

hi, I tried this code but I continue receive this error:
Extracting CNN features for surface normals of depth images...
Warning: Name is nonexistent or not a directory: /home/matt/Desktop/exploitCNN-RNN-master/matconvnet-1.0-beta25/matlab/mex

In path (line 109)
In addpath (line 86)
In vl_setupnn (line 13)
In run (line 91)
In extractCNNFeatures (line 2)
In main (line 90)
Warning: MatConvNet is not compiled. Consider running vl_compilenn.
In vl_setupnn (line 24)
In run (line 91)
In extractCNNFeatures (line 2)
In main (line 90)

SurfNorm CNN features are passing through RNNs for Pool-1 (5) layer ...
RNN Forward Prop Train...
Error using *
Incorrect dimensions for matrix multiplication. Check that the number of columns in the first matrix matches the number of rows
in the second matrix. To perform elementwise multiplication, use '.*'.

Error in forwardRNN>forward (line 46)
child = W * reshape(tree(:,row:row+RFS(1)-1,col:col+RFS(2)-1,:),[],numImgs);

Error in forwardRNN (line 10)
train = forward(train, rnn, params);

Error in main (line 103)
[surfNormPool1RNNTrain, surfNormPool1RNNTest] = forwardRNN(surfNormNetTrain.pool1, surfNormNetTest.pool1, params);

What I'm supposed to do?