const req = yield call(request, `${requestURL}?idUser=10&search=something`, {
method: 'GET'
});
import foolbox
import torch
import torchvision.models as models
import numpy as np
from foolbox.criteria import TargetClassProbability
target_class = 404 #https://gist.github.com/ageitgey/4e1342c10a71981d0b491e1b8227328b
criterion = TargetClassProbability(target_class, p=0.85)
# instantiate the model
resnet18 = models.resnet18(pretrained=True).eval()
if torch.cuda.is_available():
resnet18 = resnet18.cuda()
mean = np.array([0.485, 0.456, 0.406]).reshape((3, 1, 1))
std = np.array([0.229, 0.224, 0.225]).reshape((3, 1, 1))
fmodel = foolbox.models.PyTorchModel(
resnet18, bounds=(0, 1), num_classes=1000, preprocessing=(mean, std))
# get source image and label
image, label = foolbox.utils.imagenet_example(data_format='channels_first')
image = image / 255. # because our model expects values in [0, 1]
print('label', label)
print('predicted class', np.argmax(fmodel.predictions(image)))
# apply attack on source image
attack = foolbox.attacks.LBFGSAttack(fmodel,criterion)
adversarial = attack(image, label)
print('adversarial class', np.argmax(fmodel.predictions(adversarial)))
是否应该给出最大概率，为什么它会在11.00左右而不是应该的> 85？