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dataset transformation pytorch

Innocent Iguana answered on December 4, 2022 Popularity 8/10 Helpfulness 5/10

answer dataset transformation pytorch

related dataset pytorch

dataset transformation pytorch

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import torch
from torch.utils.data import Dataset, DataLoader
from torchvision import transforms

# Custom dataset class
class MyDataset(Dataset):
    def __init__(self, data,transform=None):
        self.data = data
        self.transform = transform

    def __len__(self):
        return len(self.data)

    def __getitem__(self, index):
        return self.data[index]
      
# Generating a random dataset
data = torch.randn(100, 3)  # Example: 100 samples, each with 3 features

# Creating an instance of the custom dataset
dataset = MyDataset(data)

# Custom transform class for normalization
class CustomNormalize(object):
    def __init__(self, mean, std):
        self.mean = mean
        self.std = std

    def __call__(self, sample):
        # Perform the normalization operation
        normalized_sample = (sample - self.mean) / self.std
        return normalized_sample
      
# Applying transformations
transform = transforms.Compose([
    transforms.ToTensor(),  # Convert data to tensor
    CustomNormalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5])  # Custom normalization
])

transformed_dataset = MyDataset(data,transform=transform)
print(transformed_dataset)
print(*transformed_dataset)

# Creating a data loader for batch processing
dataloader = DataLoader(transformed_dataset, batch_size=4, shuffle=True)

# Iterating through the data loader
for batch in dataloader:
    # Accessing the batched data
    print(batch)

Popularity 8/10 Helpfulness 5/10 Language python

Source: Grepper

Tags: dataset python pytorch transformation

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Contributed on May 30 2023

Innocent Iguana

0 Answers Avg Quality 2/10

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dataset pytorch

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class MyDataset(torch.utils.data.Dataset):
    def __init__(self, data, labels):
        self.data = data
        self.labels = labels

    def __len__(self):
        return len(self.data)

    def __getitem__(self, idx):
        return self.data[idx], self.labels[idx]

Popularity 10/10 Helpfulness 4/10 Language python

Source: Grepper

Tags: dataset

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Contributed on Dec 04 2022

Dizzy Dormouse

0 Answers Avg Quality 2/10

dataset transformation pytorch

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