def joinImagesH(images, bgcolor=128):
totalWidth = sum([image.width for image in images])
maxHeight = max([image.height for image in images])
maxNChannels = max([image.nChannels for image in images])
if maxNChannels == 3:
images = map(addFakeChannels, images)
bgcolor = cv.ScalarAll(bgcolor)
total = len(images)
result = cv.CreateImage((totalWidth + total - 1, maxHeight), images[0].depth, images[0].nChannels)
cv.Set(result, bgcolor)
curW = 0
for index in xrange(len(images)):
image = images[index]
off = (maxHeight - image.height) / 2
cvext.copyTo(image, result, (curW, off), None)
curW += image.width + 1
return result
def joinImagesV(images, bgcolor=128):
totalHeight = sum([image.height for image in images])
maxWidth = max([image.width for image in images])
maxNChannels = max([image.nChannels for image in images])
if maxNChannels == 3:
images = map(addFakeChannels, images)
bgcolor = cv.ScalarAll(bgcolor)
total = len(images)
result = cv.CreateImage((maxWidth, totalHeight + total - 1), images[0].depth, images[0].nChannels)
cv.Set(result, bgcolor)
curH = 0
for index in xrange(len(images)):
image = images[index]
off = (maxWidth - image.width) / 2
cvext.copyTo(image, result, (off, curH), None)
curH += image.height + 1
return result
def joinImagesH(images, bgcolor=128):
totalWidth = sum([image.width for image in images])
maxHeight = max([image.height for image in images])
maxNChannels = max([image.nChannels for image in images])
if maxNChannels == 3:
images = map(addFakeChannels, images)
bgcolor = cv.ScalarAll(bgcolor)
total = len(images)
result = cv.CreateImage((totalWidth + total - 1, maxHeight), images[0].depth, images[0].nChannels)
cv.Set(result, bgcolor)
curW = 0
for index in xrange(len(images)):
image = images[index]
off = (maxHeight - image.height) / 2
cvext.copyTo(image, result, (curW, off), None)
curW += image.width + 1
return result
def joinImagesV(images, bgcolor=128):
totalHeight = sum([image.height for image in images])
maxWidth = max([image.width for image in images])
maxNChannels = max([image.nChannels for image in images])
if maxNChannels == 3:
images = map(addFakeChannels, images)
bgcolor = cv.ScalarAll(bgcolor)
total = len(images)
result = cv.CreateImage((maxWidth, totalHeight + total - 1), images[0].depth, images[0].nChannels)
cv.Set(result, bgcolor)
curH = 0
for index in xrange(len(images)):
image = images[index]
off = (maxWidth - image.width) / 2
cvext.copyTo(image, result, (off, curH), None)
curH += image.height + 1
return result
n = image[y, x] / 127.5 - 1.0
lst.append(n)
return lst
def resizeNaive(image, size):
result = cv.CreateImage(size, cv.IPL_DEPTH_8U, 1)
cv.Resize(image, result, cv.CV_INTER_CUBIC)
return result
def resizeProp(image, (segW, segH)):
result = cv.CreateImage((segW, segH), image.depth, image.nChannels)
cv.Zero(result)
if image.width <= segW and image.height <= segH:
offW = (segW - image.width) / 2
offH = (segH - image.height) / 2
copyTo(image, result, (offW, offH), None)
else:
scaleW = float(segW) / float(image.width)
newH = image.height * scaleW
if newH <= segH:
offH = (segH - newH) / 2.0
rect = (0, int(offH), segW, int(newH))
else:
scaleH = float(segH) / float(image.height)
newW = image.width * scaleH
offW = (segW - newW) / 2.0
rect = (int(offW), 0, int(newW), segH)
cv.SetImageROI(result, rect)
cv.Resize(image, result, cv.CV_INTER_CUBIC)
cv.ResetImageROI(result)
return result
return lst
def resizeNaive(image, size):
result = cv.CreateImage(size, cv.IPL_DEPTH_8U, 1)
cv.Resize(image, result, cv.CV_INTER_CUBIC)
return result
def resizeProp(image, (segW, segH)):
result = cv.CreateImage((segW, segH), image.depth, image.nChannels)
cv.Zero(result)
if image.width <= segW and image.height <= segH:
offW = (segW - image.width) / 2
offH = (segH - image.height) / 2
copyTo(image, result, (offW, offH), None)
else:
scaleW = float(segW) / float(image.width)
newH = image.height * scaleW
if newH <= segH:
offH = (segH - newH) / 2.0
rect = (0, int(offH), segW, int(newH))
else:
scaleH = float(segH) / float(image.height)
newW = image.width * scaleH
offW = (segW - newW) / 2.0
rect = (int(offW), 0, int(newW), segH)
cv.SetImageROI(result, rect)
cv.Resize(image, result, cv.CV_INTER_CUBIC)
cv.ResetImageROI(result)
return result