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added 2 commits
October 18, 2021 00:10
hyoyoung
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Apr 2, 2023
| @@ -22,49 +22,50 @@ demo-model-link: https://colab.research.google.com/drive/19NTYFNUT9js78UZ0g_3Isn | |||
| import torch | |||
| use_gpu = True if torch.cuda.is_available() else False | |||
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| # trained on high-quality celebrity faces "celebA" dataset | |||
| # this model outputs 512 x 512 pixel images | |||
| # 유명인들의 고해상도 얼굴사진들로 만든 "celebA" 데이터셋으로 훈련시켰습니ㅏ | |||
| The input to the model is a noise vector of shape `(N, 512)` where `N` is the number of images to be generated. | ||
| It can be constructed using the function `.buildNoiseData`. | ||
| The model has a `.test` function that takes in the noise vector and generates images. | ||
| 모델의 입력값으로 들어가는 노이즈(noise) 벡터는 `(N, 512)` 크기를 갖는데, 이때 `N` 은 생성하고싶은 데이터의 수입니다. |
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이때 N 은 생성하고싶은 데이터의 수입니다.
->
이때 N개의 이미지가 생성 됩니다
| import matplotlib.pyplot as plt | ||
| import torchvision | ||
| grid = torchvision.utils.make_grid(generated_images.clamp(min=-1, max=1), scale_each=True, normalize=True) | ||
| plt.imshow(grid.permute(1, 2, 0).cpu().numpy()) | ||
| # plt.show() | ||
| ``` | ||
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| You should see an image similar to the one on the left. | ||
| 결과를 확인해보면 , 오른쪽의 이미지와 비슷한 사진을 확인 할 수 있을겁니다 |
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라이선스 동의
변경해주시는 내용에 BSD 3항 라이선스가 적용됨을 동의해주셔야 합니다.
동의하시면 아래
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PGAN 모델의 문서를 새로 번역했습니다