利用Open CV计算两张Image的差值并Attention Visualization_opengl 计算图像差距

通常，CV中对某一张图片i_{_in}进行处理之后得到i_{_out}。为了得到两者之间的差异，可以利用OpenCV
对它们进行逐像素相减得到可视化结果.
i_{_vis}=i_{_out}-i_{_in}

import random
import math
import os
import os
import cv2
import numpy as np
# import pandas as pd
from os import listdir
from os.path import isfile, join


mypath = 'input.png'
mypath1 = 'output.png'
image = cv2.imread(mypath)
image1 = cv2.imread(mypath1)
scale = 3

res = image.astype('float64') - image1.astype('float64')

def postprocess_activations(activations):

  #using the approach in https://arxiv.org/abs/1612.03928
  output = np.abs(activations)
  output = np.sum(output, axis = -1).squeeze()

  output /= output.max()
  output *= 255

  return 255 - output.astype('uint8')

res = postprocess_activations(res) * scale
im_color = cv2.applyColorMap(res, cv2.COLORMAP_JET)
# im_color = cv2.applyColorMap(res, cv2.COLORMAP_TWILIGHT)

cv2.imwrite('vis_result.jpg', im_color[:, :, ::-1])

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i_{_int}:

i_{_out}:

i_{_vis}: