train.py
#-------------------------------------#
# 对数据集进行训练
#-------------------------------------#
import datetime
import os
from functools import partialimport numpy as np
import torch
import torch.backends.cudnn as cudnn
import torch.distributed as dist
import torch.nn as nn
import torch.optim as optim
from torch import nn
from torch.utils.data import DataLoaderfrom nets.yolo import YoloBody
from nets.yolo_training import (YOLOLoss, get_lr_scheduler, set_optimizer_lr,weights_init)
from utils.callbacks import EvalCallback, LossHistory
from utils.dataloader import YoloDataset, yolo_dataset_collate
from utils.utils import (get_anchors, get_classes, seed_everything,show_config, worker_init_fn)
from utils.utils_fit import fit_one_epoch'''
训练自己的目标检测模型一定需要注意以下几点：
1、训练前仔细检查自己的格式是否满足要求，该库要求数据集格式为VOC格式，需要准备好的内容有输入图片和标签输入图片为.jpg图片，无需固定大
