I have 10 activities 435 features and 100 samples for each activity. so now, i need to create a 435-dimensional feature space to place these features for 100 samples of 10 activities. Can anybody help me in this?? Thanks in advance
What you could do is creating a matrix for each activity and the 100 samples. The creating layers for the actual features using the vector type. Pseudo code would look like:
Mat activities = Mat::zeros(10, 100, CV_8UC1); //change type depending on your feature values
vector<Mat> complete_data;
for(int i = 0; i < 435; i ++){
complete_data.push_back(activities);
}
You can now loop over the layers and then iterate through the matrix using the at<uchar> operator.
Or you could do it the other way around and create for sample a 436 x 100 matrix and create a vector of size 10. It can be as dynamic as you prefer.
I will act like I have not just read your comment. Basically my answer to it however is NO. The code is almost exactly what you should do. This is a forum that pushes people to go head on with their problems and try to tackle problems themselves with suggestions given. I will not finish your project for you... read the FAQ for guidelines...
Seriously? My suggestion does exactly what you are asking. Your second question about explaining it in details, is basically asking for code. Tell me what is not to understand from it...
The code does exactly that! It creates a vector of matrices. You can access each plane by using complete_data[plane_number] and then use the .at<uchar>(x,y) operator on the selected matrix to access its elements and assign your values...
They overal vector element contains matrices, and each matrix can have its own data type, however, it cannot handle multiple data types in a single matrix, which should also be a bad practice.
Asked: 2013-04-26 03:53:41 -0600
Seen: 169 times
Last updated: Apr 26 '13
