Eleandro Oliveira

boa noite alguém pode me ajudar sou novo na linguagem python estou fazendo o meu tcc e estou com problema e não consigo resolver. for i in range(1, x / W - 1): for j in range(1, y / W - 1): kernel = gabor_kernel(W, angles[i][j], freqs[i][j]) for k in range(0, W): for l in range(0, W): im_load[i * W + k, j * W + l] = utils.apply_kernel_at( lambda x, y: im_load[x, y], kernel, i * W + k, j * W + l) return im esse e o erro C:\Python27\python.exe C:/tcc/gabor.py images/ppf1.png 16 --save calculating orientation done smoothing angles done computing local ridge frequency done Traceback (most recent call last): File "C:/tcc/gabor.py", line 71, in <module> result = gabor(im, W, angles) File "C:/tcc/gabor.py", line 45, in gabor j * W + l) SystemError: new style getargs format but argument is not a tuple Process finished with exit code 1 código e esse. # Metody biometryczne # Przemyslaw Pastuszka from PIL import Image, ImageDraw import utils import argparse import math import frequency import os def gabor_kernel(W, angle, freq): cos = math.cos(angle) sin = math.sin(angle) yangle = lambda x, y: x * cos + y * sin xangle = lambda x, y: -x * sin + y * cos xsigma = ysigma = 4 return utils.kernel_from_function(W, lambda x, y: math.exp(-( (xangle(x, y) ** 2) / (xsigma ** 2) + (yangle(x, y) ** 2) / (ysigma ** 2)) / 2) * math.cos(2 * math.pi * freq * xangle(x, y))) def gabor(im, W, angles): (x, y) = im.size im_load = im.load() freqs = frequency.freq(im, W, angles) print "computing local ridge frequency done" gauss = utils.gauss_kernel(3) utils.apply_kernel(freqs, gauss) for i in range(1, x / W - 1): for j in range(1, y / W - 1): kernel = gabor_kernel(W, angles[i][j], freqs[i][j]) for k in range(0, W): for l in range(0, W): im_load[i * W + k, j * W + l] = utils.apply_kernel_at( lambda x, y: im_load[x, y], kernel, i * W + k, j * W + l) return im if __name__ == "__main__": parser = argparse.ArgumentParser(description="Gabor filter applied") parser.add_argument("image", nargs=1, help = "Path to image") parser.add_argument("block_size", nargs=1, help = "Block size") parser.add_argument("--save", action='store_true', help = "Save result image as src_image_enhanced.gif") args = parser.parse_args() im = Image.open(args.image[0]) im = im.convert("L") # covert to grayscale im.show() W = int(args.block_size[0]) f = lambda x, y: 2 * x * y g = lambda x, y: x ** 2 - y ** 2 angles = utils.calculate_angles(im, W, f, g) print "calculating orientation done" angles = utils.smooth_angles(angles) print "smoothing angles done" result = gabor(im, W, angles) result.show() if args.save: base_image_name = os.path.splitext(os.path.basename(args.image[0]))[0] im.save(base_image_name + "_enhanced.gif", "GIF")