首页 > 其他 > 详细

猫狗识别——PyTorch

时间:2019-09-16 09:39:22      阅读:345      评论:0      收藏:0      [点我收藏+]

1. 要导入的包

技术分享图片
import os
import time
import numpy as np

import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from torch.utils import data
from torchvision import transforms as T
from PIL import Image
import

2. 模型配置

技术分享图片
###################################
# SETTINGS
###################################

class Config(object):
    
    batch_size = 32
    max_epoch = 30
    num_workers = 2
    lr = 0.001
    lr_decay = 0.95
    weight_decay = 0.0001
    
    train_data_root = /home/dong/Documents/DATASET/train
    test_data_root = /home/dong/Documents/DATASET/test
    
    load_dict_path = None

opt = Config()
SETTINGS

3. 选择DEVICE

device = cuda:0 if torch.cuda.is_available() else cpu

 

 

猫狗识别——PyTorch

原文:https://www.cnblogs.com/xxxxxxxxx/p/11525583.html

(1)
(1)
   
举报
评论 一句话评论(0
关于我们 - 联系我们 - 留言反馈 - 联系我们:wmxa8@hotmail.com
© 2014 bubuko.com 版权所有
打开技术之扣,分享程序人生!