b7c2f6e9ccd65a53d8ae9aa0d3ee287ce9c93019,librosa/feature.py,,piptrack,#Any#Any#Any#Any#Any#Any#Any#,439

Before Change

    mask = freq_mask & librosa.core.localmax( S * (S > threshold * S.max(axis=0)), axis=0 )
    
    // Find the argmax coordinates
    idx = np.argwhere(mask)
                                   
    // Store pitch and magnitude
    pitches[idx[:,0], idx[:, 1]] = (idx[:, 0] + shift[idx[:, 0], idx[:, 1]]) * float(sr) / n_fft
    

After Change

    
    // Compute the column-wise local max of S after thresholding
    // Find the argmax coordinates
    idx = np.argwhere(freq_mask & librosa.core.localmax(S * (S > threshold * S.max(axis=0)), 
                                                        axis=0 ))
                                   
    // Store pitch and magnitude
    pitches[idx[:, 0], idx[:, 1]] = (idx[:, 0] + shift[idx[:, 0], idx[:, 1]]) * float(sr) / n_fft
    mags[idx[:, 0], idx[:, 1]]   = (S[idx[:, 0], idx[:, 1]] + dskew[idx[:, 0], idx[:, 1]])

Instances