Simon Moe Sørensen simonmoesorensen
simonmoesorensen
/ pytorch_stratified_sampling.py
Last active
October 5, 2023 10:04
Creates a pytorch sampler that samples classes evenly. Utilizes vectorization and pytorch dataloaders to efficiently calculate weights
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| import torch | |
| from torch.utils.data import DataLoader, sampler | |
| from torchvision import datasets | |
| def make_weights_for_balanced_classes(images, nclasses, batch_size): | |
| """ | |
| Adapted from https://gist.github.com/srikarplus/15d7263ae2c82e82fe194fc94321f34e | |
| """ | |
| device = torch.device("cuda" if torch.cuda.is_available() else "cpu") |