Update code.py
Browse files
code.py
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
import torch
|
| 2 |
from yolov5 import YOLOv5
|
| 3 |
from art.attacks.evasion import FastGradientMethod
|
| 4 |
-
from art.
|
| 5 |
from PIL import Image
|
| 6 |
import numpy as np
|
| 7 |
import matplotlib.pyplot as plt
|
|
@@ -28,6 +28,7 @@ def predict_fn(x):
|
|
| 28 |
with torch.no_grad():
|
| 29 |
return model(x).xywh[0][:, 4].cpu().numpy() # Retorna as probabilidades de deteção de objetos
|
| 30 |
|
|
|
|
| 31 |
classifier = PyTorchClassifier(
|
| 32 |
model=model.model, # Passando o modelo YOLO para ART
|
| 33 |
loss_fn=torch.nn.CrossEntropyLoss(),
|
|
|
|
| 1 |
import torch
|
| 2 |
from yolov5 import YOLOv5
|
| 3 |
from art.attacks.evasion import FastGradientMethod
|
| 4 |
+
from art.estimators.classification import PyTorchClassifier # Alteração para nova versão do ART
|
| 5 |
from PIL import Image
|
| 6 |
import numpy as np
|
| 7 |
import matplotlib.pyplot as plt
|
|
|
|
| 28 |
with torch.no_grad():
|
| 29 |
return model(x).xywh[0][:, 4].cpu().numpy() # Retorna as probabilidades de deteção de objetos
|
| 30 |
|
| 31 |
+
# Criando o classificador ART
|
| 32 |
classifier = PyTorchClassifier(
|
| 33 |
model=model.model, # Passando o modelo YOLO para ART
|
| 34 |
loss_fn=torch.nn.CrossEntropyLoss(),
|