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import numpy as np
import os
from glob import glob
import scipy.io as sio
from skimage.io import imread, imsave
from skimage.transform import rescale, resize
from time import time
import argparse
import ast
import matplotlib.pyplot as plt
import argparse
from api import PRN
from utils.render import render_texture
import cv2
def texture_editing(prn, args):
# read image
image = imread(args.image_path)
[h, w, _] = image.shape
#-- 1. 3d reconstruction -> get texture.
pos = prn.process(image)
vertices = prn.get_vertices(pos)
image = image/255.
texture = cv2.remap(image, pos[:,:,:2].astype(np.float32), None, interpolation=cv2.INTER_NEAREST, borderMode=cv2.BORDER_CONSTANT,borderValue=(0))
#-- 2. Texture Editing
Mode = args.mode
# change part of texture(for data augumentation/selfie editing. Here modify eyes for example)
if Mode == 0:
# load eye mask
uv_face_eye = imread('Data/uv-data/uv_face_eyes.png', as_grey=True)/255.
uv_face = imread('Data/uv-data/uv_face.png', as_grey=True)/255.
eye_mask = (abs(uv_face_eye - uv_face) > 0).astype(np.float32)
# texture from another image or a processed texture
ref_image = imread(args.ref_path)
ref_pos = prn.process(ref_image)
ref_image = ref_image/255.
ref_texture = cv2.remap(ref_image, ref_pos[:,:,:2].astype(np.float32), None, interpolation=cv2.INTER_NEAREST, borderMode=cv2.BORDER_CONSTANT,borderValue=(0))
# modify texture
new_texture = texture*(1 - eye_mask[:,:,np.newaxis]) + ref_texture*eye_mask[:,:,np.newaxis]
# change whole face(face swap)
elif Mode == 1:
# texture from another image or a processed texture
ref_image = imread(args.ref_path)
ref_pos = prn.process(ref_image)
ref_image = ref_image/255.
ref_texture = cv2.remap(ref_image, ref_pos[:,:,:2].astype(np.float32), None, interpolation=cv2.INTER_NEAREST, borderMode=cv2.BORDER_CONSTANT,borderValue=(0))
ref_vertices = prn.get_vertices(ref_pos)
new_texture = ref_texture#(texture + ref_texture)/2.
else:
print('Wrong Mode! Mode should be 0 or 1.')
exit()
#-- 3. remap to input image.(render)
vis_colors = np.ones((vertices.shape[0], 1))
face_mask = render_texture(vertices.T, vis_colors.T, prn.triangles.T, h, w, c = 1)
face_mask = np.squeeze(face_mask > 0).astype(np.float32)
new_colors = prn.get_colors_from_texture(new_texture)
new_image = render_texture(vertices.T, new_colors.T, prn.triangles.T, h, w, c = 3)
new_image = image*(1 - face_mask[:,:,np.newaxis]) + new_image*face_mask[:,:,np.newaxis]
# Possion Editing for blending image
vis_ind = np.argwhere(face_mask>0)
vis_min = np.min(vis_ind, 0)
vis_max = np.max(vis_ind, 0)
center = (int((vis_min[1] + vis_max[1])/2+0.5), int((vis_min[0] + vis_max[0])/2+0.5))
output = cv2.seamlessClone((new_image*255).astype(np.uint8), (image*255).astype(np.uint8), (face_mask*255).astype(np.uint8), center, cv2.NORMAL_CLONE)
# save output
imsave(args.output_path, output)
print('Done.')
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Texture Editing by PRN')
parser.add_argument('-i', '--image_path', default='TestImages/AFLW2000/image00081.jpg', type=str,
help='path to input image')
parser.add_argument('-r', '--ref_path', default='TestImages/trump.jpg', type=str,
help='path to reference image(texture ref)')
parser.add_argument('-o', '--output_path', default='TestImages/output.jpg', type=str,
help='path to save output')
parser.add_argument('--mode', default=1, type=int,
help='ways to edit texture. 0 for modifying parts, 1 for changing whole')
parser.add_argument('--gpu', default='0', type=str,
help='set gpu id, -1 for CPU')
# ---- init PRN
os.environ['CUDA_VISIBLE_DEVICES'] = parser.parse_args().gpu # GPU number, -1 for CPU
prn = PRN(is_dlib = True)
texture_editing(prn, parser.parse_args())
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