问题描述
这个功能是展示对抗性的图像及其概率,我只想下载图像。
def visualize(x,x_adv,x_grad,epsilon,clean_pred,adv_pred,clean_prob,adv_prob):
x = x.squeeze(0) #remove batch dimension # B X C H X W ==> C X H X W
x = x.mul(torch.FloatTensor(std).view(3,1,1)).add(torch.FloatTensor(mean).view(3,1)).numpy()#reverse of normalization op- "unnormalize"
x = np.transpose( x,(1,2,0)) # C X H X W ==> H X W X C
x = np.clip(x,1)
x_adv = x_adv.squeeze(0)
x_adv = x_adv.mul(torch.FloatTensor(std).view(3,1)).numpy()#reverse of normalization op
x_adv = np.transpose( x_adv,0)) # C X H X W ==> H X W X C
x_adv = np.clip(x_adv,1)
x_grad = x_grad.squeeze(0).numpy()
x_grad = np.transpose(x_grad,0))
x_grad = np.clip(x_grad,1)
figure,ax = plt.subplots(1,3,figsize=(80,80))
ax[0].imshow(x_adv)
im = Image.fromarray(x_adv)
im.save("car.jpeg")
files.download('car.jpeg')
plt.show()
TypeError: 无法处理此数据类型:(1,3),
解决方法
尝试改变这个:
im = Image.fromarray(x_adv)
为此:
im = Image.fromarray((x_adv * 255).astype(np.uint8))