
Sept. 10, 2013
1:52 p.m.
Hi there, Is there a faster way to perform a 2D Histogram from a 2D matrix than what I have below: def spatial_histogram(frame, n_bins): shape = frame.shape h_len = shape[0]/n_bins w_len = shape[1]/n_bins h_ind = range(0, shape[0], h_len) w_ind = range(0, shape[1], w_len) max_val = 255*h_len*w_len out = np.empty((n_bins, n_bins), np.uint8) for ii in range(n_bins): for jj in range(n_bins): out[ii, jj] = np.sum(frame[h_ind[ii]:h_ind[ii]+h_len, w_ind[jj]:w_ind[jj]+w_len])/max_val*255 return out Should I try implementing this in Cython, or is there something I can do in Numpy? Thanks!