stokasto

import numpy as np

def class_entropy(X):                                        
    class_prob = np.mean(X, axis = 0)
    return -np.sum(class_prob * np.log(class_prob + 1e-4))

def cond_entropy(X):
    return -np.mean(np.sum(X * np.log(X + 1e-4), axis=1))

def cross_entropy(X, Y):

stokasto

from numpy import *
import cv

capture = cv.CaptureFromFile('video.mov')
frames = []
for i in range(100):
    img = cv.QueryFrame(capture)
    tmp = cv.CreateImage(cv.GetSize(img),8,3)
    cv.CvtColor(img,tmp,cv.CV_BGR2RGB)
    frames.append(asarray(cv.GetMat(tmp)))