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UOMOP

Colorization cifar10(gray to color)

import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim import numpy as np import matplotlib.pyplot as plt from torchvision import models,transforms from torchvision.utils import make_grid from torchvision.datasets import CIFAR10 from torch.utils.data.sampler import SubsetRandomSampler from mpl_toolkits.axes_grid1 import ImageGrid #from torchsummary import ..
Research/Semantic Communication 2023. 12. 19. 17:38
JPEG의 header, tail

import numpy as np import torch import torchvision import torchvision.transforms as transforms from PIL import Image import io from matplotlib import pyplot as plt import numpy as np transform = transforms.Compose([transforms.ToTensor()]) trainset = torchvision.datasets.CIFAR10(root='./data', train=True, download=True, transform=transform) trainloader = torch.utils.data.DataLoader(trainset, batc..
Research/Semantic Communication 2023. 12. 6. 17:30
temp_20231205

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Research/Semantic Communication 2023. 12. 5. 19:22
JPEG temp

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Research/Semantic Communication 2023. 12. 5. 19:20
JPEG+LDPC+16QAM python

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Research/Semantic Communication 2023. 12. 5. 15:06
temp : JPEG+LDPG+16QAM

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Research/Semantic Communication 2023. 12. 4. 22:19
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