newfile.py

import numpy as np
import imageio as io
import PIL.Image as im


def blur(arr, n):
    ret = np.copy(arr)
    height=arr.shape[0]
    width =arr.shape[1]
    for y in range(0,height):
        for x in range(0,width):
            rect = arr[max(0,y-n):min(y+n+1,height) , max(0,x-n):min(x+n+1,width) , :]
            ret[y,x,:]=np.mean(rect,(0,1))
    return ret


def edge (arr):
    ret = np.copy(arr)
    ret[0,0,:]=0
    width = arr.shape[1]
    height=arr.shape[0]
    for y in range(0,height):
        print(y*100/height,'%')
        for x in range(0,width):
            if(x==0 and y==0):
                continue
            rect = arr[max(0,y-1):y+1, max(0,x-1): x+1, :]
            rect = rect.ravel()
            rect=rect.reshape((rect.size//3,3))
            right=rect[-1].ravel()
            left=rect[:-1]
            ed=abs(right-left)
            #print(ed)
            '''if(x==1 and y==0):
                print('ed: ' ,ed)
                print('left: ',left)
                print('right: ',right)
                print('left-right: ',left-right)
                print('mean: ',np.mean(ed,0))'''
            ret[y,x]=np.mean(ed,0)
    return np.round(ret)


def blackwhite(arr):
    return np.mean(arr,2)


def blur1(arr,n):
    ret=np.copy(arr)
    width = arr.shape[1]
    height=arr.shape[0]
    weight=0
    for y in range(0,height):
        for x in range(0,width):
            if(x==0 and y==0):
                rect = arr[0:min(height,y+n+1),0:min(width,x+n+1),:]
                weight= rect.size//3




lizt =np.array([   [[233,23,28],[123,234,67],[43,178,209]],
                            [[21,90,123] , [12,65,86]   ,   [3,87,176]] ,
                            [[23,34,17]   , [23,46,19]   , [129,36,29]]   ],dtype=np.float32)



img=np.asarray(io.imread("chess.jpg"))
img =img[:,:,:3];
img[:,:,(1)]=0
#img = img[200:205,200:205,:3]
#print(img)
io.imwrite('r.png',img)
#print(np.mean(lizt,2))
#print(img)