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utils.py
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import os
import sys
import torch
import importlib
import shutil
import logging
from configs.config import cfg
def import_from_file(def_file, cover=True):
folder = os.path.dirname(def_file)
file = os.path.basename(def_file)
# save setting file
save_file = os.path.join(cfg.OUTPUT_DIR, file)
if not os.path.exists(save_file) or cover:
shutil.copy(def_file, os.path.join(cfg.OUTPUT_DIR, file))
# import setting
path = os.path.abspath(folder)
sys.path.append(path)
model_file = importlib.import_module(file[:-3])
sys.path.remove(path)
return model_file
def get_accuracy(output, target, topk=(1,), ignore=None):
"""Computes the precision@k for the specified values of k"""
maxk = max(topk)
assert output.shape[0] == target.shape[0]
if ignore is not None:
assert isinstance(ignore, int)
keep = (target != ignore).nonzero().view(-1)
output = output[keep]
target = target[keep]
batch_size = target.size(0)
_, pred = output.topk(maxk, 1, True, True)
pred = pred.t()
correct = pred.eq(target.view(1, -1).expand_as(pred))
res = []
for k in topk:
correct_k = correct[:k].view(-1).float().sum(0, keepdim=True)
res.append(correct_k.mul_(1.0 / batch_size))
return res
class AverageMeter(object):
"""Computes and stores the average and current value"""
def __init__(self):
self.reset()
def reset(self):
self.val = 0
self.avg = 0
self.sum = 0
self.count = 1e-14
def update(self, val, n=1):
self.val = val
self.sum += val * n
self.count += n
self.avg = self.sum / self.count
def get_logger(log_file):
# FORMAT = '%(levelname)s %(filename)s:%(lineno)4d: %(message)s'
FORMAT = '%(message)s'
logging.root.handlers = []
logging.basicConfig(filename=log_file, format=FORMAT)
logger = logging.getLogger()
logger.setLevel(logging.INFO)
console = logging.StreamHandler()
console.setLevel(logging.INFO)
logger.addHandler(console)
return logger