Witryna21 lut 2024 · (Private feedback for you) here is my code : import cv2 import torch import torch.nn as nn import torchvision.transforms as transforms import torchvision import torchvision.datasets as datasets from torch.autograd import Variable import matplotlib.pyplot as plt from PIL import Image import numpy as np #Transformation … Witryna5 votes. def make_grid(self, nrow=8, padding=2, normalize=False, norm_range=None, scale_each=False, pad_value=0): """Use `torchvision.utils.make_grid` to make a grid …
Generative-Dog-Images-GAN/CNN.py at master - Github
Witrynaimshow (torchvision.utils.make_grid (images)) plt.show () print ('GroundTruth: ', ' '.join ('%5s' % classes [labels [j]] for j in range (4))) correct = 0 total = 0 for data in testloader: images, labels = data outputs = net (Variable (images.cuda ())).cpu () _, predicted = torch.max (outputs.data, 1) total += labels.size (0) Witryna30 gru 2024 · PATH = './cifar_net.pth' torch.save(net.state_dict(), PATH) Testing the Trained Model dataiter = iter(testloader) images, labels = dataiter.next() # print images imshow(torchvision.utils.make_grid(images)) print('GroundTruth: ', ' '.join('%5s' % classes[labels[j]] for j in range(4))) GroundTruth: cat ship ship plane grass in corn
Python Examples of torchvision.utils.make_grid - ProgramCreek.com
Witryna9 kwi 2024 · import numpy as np import pandas as pd import random import torch import torch. nn as nn import torch. optim as optim import torchvision import torchvision. … Witryna9 kwi 2024 · import numpy as np import pandas as pd import random import torch import torch. nn as nn import torch. optim as optim import torchvision import torchvision. utils as vutils from torchsummary import summary from torch. optim. lr_scheduler import ReduceLROnPlateau, CosineAnnealingLR ... ax1. set_title ('input image') ax1. … Witrynaimages = [(dataset[i] + 1) / 2 for i in range(16)] # 拿出16张图片 grid_img = torchvision.utils.make_grid(images, nrow=4) # 将其组合成一个4x4的网格 plt.figure(figsize=(6, 6)) plt.imshow(grid_img.permute(1, 2, 0)) # plt接收的图片通道要在最后,所以permute一下 plt.show() ... grass indiana