Pikaliov
4ff36ce188
Add dataloaders (v1/v2), analysis scripts, and documentation for working with UAV-GeoLoc (World-UAV). Co-authored-by: Cursor <cursoragent@cursor.com>
89 lines
1.9 KiB
Python
89 lines
1.9 KiB
Python
import os
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import sys
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import random
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import errno
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import time
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import torch
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import numpy as np
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from datetime import timedelta
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class AverageMeter:
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"""
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Computes and stores the average and current value
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"""
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def __init__(self):
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self.val = 0
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self.avg = 0
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self.sum = 0
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self.count = 0
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def reset(self):
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self.val = 0
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self.avg = 0
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self.sum = 0
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self.count = 0
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def update(self, val):
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self.val = val
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self.sum += val
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self.count += 1
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self.avg = self.sum / self.count
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def setup_system(seed, cudnn_benchmark=True, cudnn_deterministic=True) -> None:
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'''
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Set seeds for for reproducible training
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'''
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# python
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random.seed(seed)
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# numpy
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np.random.seed(seed)
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# pytorch
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torch.manual_seed(seed)
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torch.cuda.manual_seed_all(seed)
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if torch.cuda.is_available():
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torch.backends.cudnn_benchmark_enabled = cudnn_benchmark
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torch.backends.cudnn.deterministic = cudnn_deterministic
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def mkdir_if_missing(dir_path):
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try:
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os.makedirs(dir_path)
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except OSError as e:
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if e.errno != errno.EEXIST:
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raise
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class Logger(object):
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def __init__(self, fpath=None):
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self.console = sys.stdout
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self.file = None
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if fpath is not None:
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mkdir_if_missing(os.path.dirname(fpath))
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self.file = open(fpath, 'w')
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def __del__(self):
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self.close()
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def __enter__(self):
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pass
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def __exit__(self, *args):
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self.close()
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def write(self, msg):
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self.console.write(msg)
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if self.file is not None:
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self.file.write(msg)
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def flush(self):
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self.console.flush()
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if self.file is not None:
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self.file.flush()
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os.fsync(self.file.fileno())
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def close(self):
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self.console.close()
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if self.file is not None:
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self.file.close() |