nilsleh

split,planet_path,label_path,year_month,missing_label,s1_path,s2_path,missing_s1,missing_s2
train,planet/10N/23E-188N/1311_3077_13/PF-SR,labels/1311_3077_13_10N/Labels/Raster/10N-122W-40N-L3H-SR/10N-122W-40N-L3H-SR-2018_01_01.tif,2018-01,False,sentinel1/1311_3077_13/1311_3077_13_2018_01.tif,sentinel2/1311_3077_13/2018_01.tif,False,False
train,planet/10N/23E-188N/1311_3077_13/PF-SR,labels/1311_3077_13_10N/Labels/Raster/10N-122W-40N-L3H-SR/10N-122W-40N-L3H-SR-2018_02_01.tif,2018-02,False,sentinel1/1311_3077_13/1311_3077_13_2018_02.tif,sentinel2/1311_3077_13/2018_02.tif,False,False
train,planet/10N/23E-188N/1311_3077_13/PF-SR,labels/1311_3077_13_10N/Labels/Raster/10N-122W-40N-L3H-SR/10N-122W-40N-L3H-SR-2018_03_01.tif,2018-03,False,sentinel1/1311_3077_13/1311_3077_13_2018_03.tif,sentinel2/1311_3077_13/2018_03.tif,False,False
train,planet/10N/23E-188N/1311_3077_13/PF-SR,labels/1311_3077_13_10N/Labels/Raster/10N-122W-40N-L3H-SR/10N-122W-40N-L3H-SR-2018_04_01.tif,2018-04,False,sentinel1/1311_3077_13/1311_3077_13_201

nilsleh

train_patcher_kw: 
    patches: 
      time: 15
      lon: 200
      lat: 200
    strides: 
      time: 1
      lon: 50
      lat: 50
    domain_limits: 

nilsleh

experiment:
  experiment_name: "eurosat"
  exp_dir: "/mnt/SSD2/nils/projects/hyper_param/results"
wandb:
  project: eurosat_hparam
  entity: nleh
  mode: offline

model:
  _target_: lightning_uq_box.uq_methods.DeterministicClassification

nilsleh

from glob import glob
import os

import matplotlib.pyplot as plt
import torch
from denoising_diffusion_pytorch import Unet
from denoising_diffusion_pytorch.repaint import GaussianDiffusion as RePaint
from PIL import Image
from torch.utils.data import DataLoader
from torchvision.datasets import VisionDataset

nilsleh

from typing import Any

import deepsensor.torch
import numpy as np
import xarray as xr
from deepsensor.data.loader import TaskLoader
from deepsensor.data.processor import DataProcessor
from deepsensor.train import Trainer
from hydra.utils import instantiate
from omegaconf import DictConfig, OmegaConf

nilsleh

import os
from functools import lru_cache
from typing import Any, Dict, Optional

import kornia.augmentation as K
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import timm
import torch

nilsleh

"""Ocean Bench Datamodules."""

import itertools
import os
from collections import namedtuple
from typing import Any

import hydra
import numpy as np
import ocn_tools._src.geoprocessing.gridding as obgrid

nilsleh

import os
from typing import Sequence

import matplotlib.pyplot as plt
import numpy as np
import torch
import torch.backends.cudnn as cudnn
from lightning import Trainer
from lightning.pytorch import seed_everything
from orig_conformal import ConformalModel

nilsleh

import requests

# Set up authentication with your PAT
headers = {
    'Authorization': 'Bearer YOUR_ACCESS_TOKEN'
}

# Define the repository information
repo_owner = 'repo_owner'
repo_name = 'repo_name'

nilsleh