def preprocess(image, addr, extras):
log = cap.logger(extras, image)
image = cap.doResize(image, factor, cv.CV_INTER_CUBIC)
log.log(image)
image = undistort(image)
log.log(image)
cv.Threshold(image, image, 200, 255, cv.CV_THRESH_BINARY)
log.log(image)
image = cap.repaintCCs(image, doRepaint=lambda comp, col: comp[0] <= 10 and col <= 128)
log.log(image)
cap.processExtras(log.steps, addr, extras, cap.CAP_STAGE_PREPROCESS)
return image
def preprocess(image, addr, extras):
log = cap.logger(extras, image)
image = cap.doResize(image, factor, cv.CV_INTER_CUBIC)
log.log(image)
image = undistort(image)
log.log(image)
cv.Threshold(image, image, 200, 255, cv.CV_THRESH_BINARY)
log.log(image)
image = cap.repaintCCs(
image, doRepaint=lambda comp, col: comp[0] <= 10 and col <= 128)
log.log(image)
cap.processExtras(log.steps, addr, extras, cap.CAP_STAGE_PREPROCESS)
return image
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 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
