def drawImage(image,h,w,psize):
"""
Draw the image as a continuous line on a surface h by w "pixels" where
each continuous line representation of a pixel in image is represented
on the output suface using psize by psize "pixels".
@param image an opencv image with at least 3 channels
@param h integer representing the hight of the output surface
@param w integer representing the width of the output surface
@param psize ammount that each pixel in the input image is scaled up
"""
h = (h/psize)-2
w = (w/psize)-2
size = opencv.cvSize(w,h)
scaled = opencv.cvCreateImage(size,8,3)
red = opencv.cvCreateImage(size,8,1)
blue = opencv.cvCreateImage(size,8,1)
green = opencv.cvCreateImage(size,8,1)
opencv.cvSplit(scaled,blue,green,red,None)
opencv.cvEqualizeHist(red,red)
opencv.cvEqualizeHist(green,green)
opencv.cvEqualizeHist(blue,blue)
opencv.cvMerge(red,green,blue,None,scaled)
opencv.cvResize(image,scaled,opencv.CV_INTER_LINEAR)
opencv.cvNot(scaled,scaled)
# Draw each pixel in the image
xr = range(scaled.width)
whitespace = 0
for y in range(scaled.height):
for x in xr:
s = opencv.cvGet2D(scaled,y,x)
s = [s[j] for j in range(3)]
if (sum(s)/710.0 < 1.0/psize):
whitespace = whitespace+psize
else:
if whitespace is not 0:
line(whitespace,6,(xr[0]>0))
whitespace = 0
drawPixel([j/255.0 for j in s],psize,(xr[0]>0))
if whitespace is not 0:
line(whitespace,6,(xr[0]>0))
whitespace = 0
line(psize,2)
xr.reverse()
displayImage(output)
events = pygame.event.get()
for event in events:
if event.type == QUIT:
exit()
def mask(img, img_mask):
dim = img.width, img.height
depth = img.depth
channels = img.nChannels
r_chan = cv.cvCreateImage(cv.cvSize(*dim), depth, 1)
g_chan = cv.cvCreateImage(cv.cvSize(*dim), depth, 1)
b_chan = cv.cvCreateImage(cv.cvSize(*dim), depth, 1)
combined = cv.cvCreateImage(cv.cvSize(*dim), depth, 3)
cv.cvSplit(img, r_chan, g_chan, b_chan, None)
cv.cvAnd(r_chan, img_mask, r_chan)
cv.cvAnd(g_chan, img_mask, g_chan)
cv.cvAnd(b_chan, img_mask, b_chan)
cv.cvMerge(r_chan, g_chan, b_chan, None, combined)
return combined
def mask(img, img_mask):
dim = img.width, img.height
depth = img.depth
channels = img.nChannels
r_chan = cv.cvCreateImage(cv.cvSize(*dim), depth, 1)
g_chan = cv.cvCreateImage(cv.cvSize(*dim), depth, 1)
b_chan = cv.cvCreateImage(cv.cvSize(*dim), depth, 1)
combined = cv.cvCreateImage(cv.cvSize(*dim), depth, 3)
cv.cvSplit(img, r_chan, g_chan, b_chan, None)
cv.cvAnd(r_chan, img_mask, r_chan)
cv.cvAnd(g_chan, img_mask, g_chan)
cv.cvAnd(b_chan, img_mask, b_chan)
cv.cvMerge(r_chan, g_chan, b_chan, None, combined)
return combined
