![]() ![]() In my example anycodings_classification it will be 1024x1024. You should then get a large square anycodings_classification matrix, where it shows the results of anycodings_classification comparing each element in array1 with anycodings_classification each element in array2. So if I want to compare two 24x24 anycodings_classification images, I flatten them both into 2 anycodings_classification 1x1024 images, then stack the two to get anycodings_classification a 2x1024, and that is the first argument anycodings_classification of np.cov(). If your arrays anycodings_classification are multidimentional, just flatten() anycodings_classification them first. You can also have anycodings_classification the 2 arrays to be side by side if you anycodings_classification change the Rowvar to false in numpy or anycodings_classification use COVAR_COL in opencv. anycodings_classification In both np.cov() and Opencv anycodings_classification CalcCovarMatrix, it expects the two anycodings_classification arrays to be stacked on top of each anycodings_classification other (Use vstack). Return wrap(solve(a, identity(a.shape, dtype=a.dtype)))Ĭovariance needs 2 arrays to compare. I get the following error: Traceback (most recent call last):įile "/home/abc/Desktop/Return.py", line 6, in įile "/usr/lib/python2.6/dist-packages/numpy/linalg/linalg.py", line 355, in inv But it works when the number of anycodings_python columns in the matrix are more than 1: import numpy The following code was unsuccessful in anycodings_python calculating Mahalanobis distance when anycodings_python dimension of the matrix was 5 rows x 1 anycodings_python column. In OpenCV (C++), I was successful in anycodings_python calculating the Mahalanobis distance when anycodings_python the dimension of a data point was with above anycodings_python dimensions. My data points are of 1 anycodings_python dimension each (5 rows x 1 column). ![]() ![]() I've been trying to validate my code to anycodings_python calculate Mahalanobis distance written in anycodings_python Python (and double check to compare the anycodings_python result in OpenCV) ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |