newguyme/flir_paired

For modified FLIR

Usage：

from torchvision import transforms
from datasets import load_dataset

dataset_name = "newguyme/flir_paired"
dataset_flir_paired = load_dataset(dataset_name, split="train",use_auth_token=True)
# dataset_flir_paired

flir_preprocess = transforms.Compose(
    [
        transforms.Resize((config.image_size, config.image_size)),
        # transforms.RandomHorizontalFlip(),
        transforms.ToTensor(),
        transforms.Normalize([0.5], [0.5]),
    ]
)

def flir_transform(examples):
    rgb = [flir_preprocess(image.convert("RGB")) for image in examples["rgb"]]
    ir = [flir_preprocess(image.convert("RGB")) for image in examples["ir"]]

    return {"rgb_t_3ch": rgb, "ir_t_3ch":ir}


dataset_flir_paired.set_transform(flir_transform)