def segment(image, addr, extras):
log = cap.logger(extras, image)
components = findComponents(image, log)
log.log(cap.drawComponents(image, components))
angles = map(lambda comp: findAngle(comp, log), components)
angles = filter(lambda angle: angle != 0.0 and abs(angle) <= 27.0, angles)
if len(angles) != 0:
angle = fsum(angles) / len(angles)
image = cap.doRotate(image,
-angle,
fillval=255,
interpolation=cv.CV_INTER_NN)
log.log(image)
components = findComponents(image)
assert (len(components) <= nSegs)
log.log(cap.drawComponents(image, components))
#components = cap.spltCCs(components, cap.partsFromnSegs5(components), projRadius=5, thresh=2)
#components = filtCCs(components, (15, 15), 200, 0.2)
components = map(lambda comp: addBackground(comp, image, bgcolor=96),
components)
segments = map(lambda comp: comp[3], components)
segments = map(removeBadBackground, segments)
log.log(cap.joinImagesH(segments))
segments = map(lambda seg: cap.smoothNoise1(seg, bgcolor=0), segments)
log.log(cap.joinImagesH(segments))
cap.processExtras(log.steps, addr, extras, cap.CAP_STAGE_SEGMENT)
return segments
def preprocess(image, addr, extras):
log = cap.logger(extras, image)
image = removeLightColors(image)
log.log(image)
image = remapColors(image)
log.log(image)
image = smoothNoise2(image)
log.log(image)
image = cap.smoothNoise1(image)
log.log(image)
mask = getNoiseMask(image, 15, 4)
cv.Or(mask, findColor(image, myunkn), mask)
log.log(mask)
image = doInpaint(image, mask)
log.log(image)
image = sharpenColors(image)
log.log(image)
image = cap.repaintCCs(image, doRepaint=lambda comp, col: comp[0] <= 5 or comp[2][2] <= 2 or comp[2][3] <= 2)
log.log(image)
cap.processExtras(log.steps, addr, extras, cap.CAP_STAGE_PREPROCESS)
return image
def segment(image, addr, extras):
log = cap.logger(extras, image)
components = findComponents(image, log)
log.log(cap.drawComponents(image, components))
angles = map(lambda comp: findAngle(comp, log), components)
angles = filter(lambda angle: angle != 0.0 and abs(angle) <= 27.0, angles)
if len(angles) != 0:
angle = fsum(angles) / len(angles)
image = cap.doRotate(image, -angle, fillval=255, interpolation=cv.CV_INTER_NN)
log.log(image)
components = findComponents(image)
assert(len(components) <= nSegs)
log.log(cap.drawComponents(image, components))
#components = cap.spltCCs(components, cap.partsFromnSegs5(components), projRadius=5, thresh=2)
#components = filtCCs(components, (15, 15), 200, 0.2)
components = map(lambda comp: addBackground(comp, image, bgcolor=96), components)
segments = map(lambda comp: comp[3], components)
segments = map(removeBadBackground, segments)
log.log(cap.joinImagesH(segments))
segments = map(lambda seg: cap.smoothNoise1(seg, bgcolor=0), segments)
log.log(cap.joinImagesH(segments))
cap.processExtras(log.steps, addr, extras, cap.CAP_STAGE_SEGMENT)
return segments
def preprocess(image, addr, extras):
log = cap.logger(extras, image)
image = removeLightColors(image)
log.log(image)
image = remapColors(image)
log.log(image)
image = smoothNoise2(image)
log.log(image)
image = cap.smoothNoise1(image)
log.log(image)
mask = getNoiseMask(image, 15, 4)
cv.Or(mask, findColor(image, myunkn), mask)
log.log(mask)
image = doInpaint(image, mask)
log.log(image)
image = sharpenColors(image)
log.log(image)
image = cap.repaintCCs(image,
doRepaint=lambda comp, col: comp[0] <= 5 or comp[2][
2] <= 2 or comp[2][3] <= 2)
log.log(image)
cap.processExtras(log.steps, addr, extras, cap.CAP_STAGE_PREPROCESS)
return image