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import torch
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter
from torchvision.utils import save_image
from tqdm import tqdm
from collections import defaultdict

class EarlyStoppingCheckpoint:
    def __init__(self, model, save_path, metric_name, mode='max', patience=10):
        self.model = model

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# Restart kernel after installation
import IPython
IPython.Application.instance().kernel.do_shutdown(True)

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# lmdbloader.py

import os
import lmdb
import pyarrow
import lz4framed
import numpy as np
from typing import Any
import nonechucks as nc
from torch.utils.data import Dataset, DataLoader

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# lmdbconverter.py

import os
import cv2
import fire
import glob
import lmdb
import logging
import pyarrow
import lz4framed

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