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import cv2
import matplotlib.pyplot as plt
import numpy as np
import torch
import torch.nn as nn
from torchvision import transforms
from esrgan import ESRGAN
esrgan = ESRGAN()
def viz(module, input):
x = input[0][0]
#最多显示4张图
min_num = np.minimum(4, x.size()[0])
for i in range(min_num):
plt.subplot(1, 4, i+1)
plt.imshow(x[i].cpu())
plt.xticks([]) #去掉横坐标值
plt.yticks([]) #去掉纵坐标值
plt.show()
def main():
t = transforms.Compose([transforms.ToPILImage(),
transforms.Resize((224, 224)),
transforms.ToTensor(),
transforms.Normalize(mean=[0.485, 0.456, 0.406],
std=[0.229, 0.224, 0.225])
])
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
model = esrgan.net
for name, m in model.named_modules():
# if not isinstance(m, torch.nn.ModuleList) and \
# not isinstance(m, torch.nn.Sequential) and \
# type(m) in torch.nn.__dict__.values():
# 这里只对卷积层的feature map进行显示
if isinstance(m, torch.nn.Conv2d):
m.register_forward_pre_hook(viz)
img = cv2.imread('image.png')
img = t(img).unsqueeze(0).to(device)
with torch.no_grad():
model(img)
if __name__ == '__main__':
main()
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