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import os |
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import numpy as np |
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import argparse |
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from manipulate import Manipulator |
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import torch |
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from PIL import Image |
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if __name__ == "__main__": |
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parser = argparse.ArgumentParser(description='Process some integers.') |
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parser.add_argument('--dataset_name',type=str,default='ffhq', |
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help='name of dataset, for example, ffhq') |
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parser.add_argument('--real', action='store_true') |
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args = parser.parse_args() |
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dataset_name=args.dataset_name |
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if not os.path.isdir('./data/'+dataset_name): |
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os.system('mkdir ./data/'+dataset_name) |
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M=Manipulator(dataset_name=dataset_name) |
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np.set_printoptions(suppress=True) |
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print(M.dataset_name) |
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names=os.listdir('./data/'+dataset_name+'/') |
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for name in names: |
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if '.jpg' in name: |
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os.system('rm ./data/'+dataset_name+'/'+name) |
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if args.real: |
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latents=torch.load('./data/'+dataset_name+'/latents.pt') |
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w_plus=latents.cpu().detach().numpy() |
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else: |
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w=np.load('./npy/'+dataset_name+'/W.npy') |
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tmp=w[:50] |
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tmp=tmp[:,None,:] |
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w_plus=np.tile(tmp,(1,M.Gs.components.synthesis.input_shape[1],1)) |
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np.save('./data/'+dataset_name+'/w_plus.npy',w_plus) |
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tmp=M.W2S(w_plus) |
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M.dlatents=tmp |
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M.img_index=0 |
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M.num_images=len(w_plus) |
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M.alpha=[0] |
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M.step=1 |
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lindex,bname=0,0 |
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M.manipulate_layers=[lindex] |
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codes,out=M.EditOneC(bname) |
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for i in range(len(out)): |
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img=out[i,0] |
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img=Image.fromarray(img) |
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img.save('./data/'+dataset_name+'/'+str(i)+'.jpg') |
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