pytorch 测试 shuffle yolov3

 

# coding='utf-8'
import os
import sys
import time
import datetime
import logging
import torch
import torch.nn as nn
import torch.optim as optim

torch.backends.cudnn.benchmark = True

MY_DIRNAME = os.path.dirname(os.path.abspath(__file__))
sys.path.insert(0, os.path.join(MY_DIRNAME, '..'))
from nets.model_main import ModelMain
from nets.yolo_loss import YOLOLayer
from common.coco_dataset import COCODataset


TRAINING_PARAMS = \
{
    "model_params": {
        "backbone_name": "darknet_53",
        "backbone_pretrained":"", #  set empty to disable
        # "backbone_pretrained":"../weights/mobilenetv2_weights.pth", #  set empty to disable
    },
    "yolo": {
        "anchors": "16,24, 23,39, 25,84, 31,66, 42,54, 46,38, 56,81, 59,121, 74