def __call__(self, image): if config.dimension() == 2: dbls = oofimage.grayify(image) bools = oofimage.threshold(dbls, self.T) oofimage.setFromBool(image, bools) elif config.dimension() == 3: image.threshold(self.T)
def __call__(self, image): if config.dimension() == 2: dbls = oofimage.grayify(image) bools = oofimage.threshold(dbls,self.T) oofimage.setFromBool(image,bools) elif config.dimension() == 3: image.threshold(self.T)
def __call__(self, image): dbls = oofimage.grayify(image) bools = oofimage.threshold(dbls, self.T) oofimage.setFromBool(image, bools)
def __call__(self, image): dbls = oofimage.grayify(image) bools = oofimage.threshold(dbls, .5) hough = imageops.houghTrans(bools)
def __call__(self, image): dbls = oofimage.grayify(image) bool1 = oofimage.threshold(dbls, .5) imageops.compare(bool1, self.val)
def __call__(self, image): dbls = oofimage.grayify(image) bools = oofimage.threshold(dbls,self.T) oofimage.setFromBool(image,bools)
def __call__(self, image): dbls = oofimage.grayify(image) bools = oofimage.threshold(dbls,.5) hough = imageops.houghTrans(bools)
def __call__(self,image): dbls=oofimage.grayify(image) bool1=oofimage.threshold(dbls,.5) imageops.compare(bool1,self.val)