Nils Lehmann nilsleh
nilsleh
/ laplace_example.py
Last active
January 23, 2024 07:44
Laplace Example Constant UQ Reproduce
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| train_patcher_kw: | |
| patches: | |
| time: 15 | |
| lon: 200 | |
| lat: 200 | |
| strides: | |
| time: 1 | |
| lon: 50 | |
| lat: 50 | |
| domain_limits: |
nilsleh
/ dynamic_earthnet_metadata.csv
Created
March 20, 2025 06:23
dynamic earthnet metadat and paths
We can make this file beautiful and searchable if this error is corrected: It looks like row 5 should actually have 9 columns, instead of 6 in line 4.
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| 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 |
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