# Python bug只会出现在使用Numpy的浮雕图像上

here)我正在帮助分配任务,似乎无法找到学生的错误.

``````# making an image embossed

import numpy
def clamp(color):
if color<0:
return 0
elif color>255:
return 255
else:
return color
def get_num(jen):
variable = ''
while ch.startswith('#'):
while ch!='\n':

while ch.isspace():
while ch.isspace():
while ch.isdigit():

variable = variable + ch
if ch.startswith('#'):
while ch!='\n':

return int(variable)

def emboss(x,y):
d=numpy.empty((h,w*3),numpy.uint8)
print "len x[0]=",len(x[0])
print "len y=", len(y)
print "len y[0]=", len(y[0])
for i in xrange(len(x)):
for j in xrange(0,len(x[0]),3):
for k in xrange(3): #r,g,b loop
#if the next line is used a correct (but not embosed) image results
#d[i][j+k] = x[i][j+k]
sum = 0
for l in xrange(0,3,1):
for m in xrange(0,3,1):
#the next line embosses but causes a triple image in the process
sum = sum + ((x[(i+(l-1))%h][((j+k)+((m-1)*3))%w]) * y[l][m])

#the line below adjusts an embossed images brightness
#if not embossing comment out this line
d[i][j+k]=clamp(sum+127)

return d

name=raw_input('Please enter input name: ')
output= raw_input('Please enter output name: ')
gwen=open(name,"rb")

if ch=='P':
print ('This is P')
else:
if ch=='6':
print ('This is 6')
else:
jen=''

w=get_num(jen)
w=int(w)
print w
h=get_num(jen)
h=int(h)
print h
value=get_num(jen)
value=int(value)
print value

joe=open(output,"wb")
joe.write('P6'+' '+str(w)+' '+str(h)+' '+str(value)+'\n')

a=numpy.fromfile(gwen,numpy.uint8, w*h*3,'')
c=numpy.reshape(a,(h,w*3))
d=numpy.array([[1,1,1],[0,0,0],[-1,-1,-1]])
new=emboss(c,d)

for i in xrange(h):
for j in xrange(0,w*3,3):
r_value = new[i][j]
r=int(clamp(r_value))
g_value = new[i][j+1]
g=int(clamp(g_value))
b_value = new[i][j+2]
b=int(clamp(b_value))
joe.write('%c%c%c'%(r,g,b))

gwen.close()
joe.close()
``````

``````# renamed
# x -> im (the input image numpy array)
# y -> kernel (the emboss kernel)
# i -> y (the y coordinate)
# j -> x (the x coordinate)
# d -> output (the output numpy array)
# k -> color (the number of the color channel 0-2)
# sum -> sum_ (sum is a built-in, so we shouldn't use that name)
def emboss(im,kernel):
output=numpy.empty((h,w*3),numpy.uint8)
print "len im[0]=",len(im[0])
print "len kernel=", len(kernel)
print "len kernel[0]=", len(kernel[0])
for y in xrange(len(im)):
for x in xrange(0,len(im[0]),3):
for color in xrange(3): #r,g,b loop
#if the next line is used a correct (but not embosed) image results
#output[y][x+color] = im[y][x+color]
sum_ = 0
for l in xrange(0,3,1):
for m in xrange(0,3,1):
#the next line embosses but causes a triple image in the process
sum_ += (im[(y+(l-1))%h][((x+color)+((m-1)*3))%w]) * kernel[l][m]

#the line below adjusts an embossed images brightness
#if not embossing comment out this line
output[y][x+color]=clamp(sum_+127)
return output
``````

``````sum_ += (im[(y+(l-1))%h][((x+color)+((m-1)*3))%w]) * kernel[l][m]
``````

``````sum = sum + ((x[(i+(l-1))%h][((j+k)+((m-1)*3))%(w*3)]) * y[l][m])
``````