#!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
@Time        : 2022/4/25 08:19
@Author      : Albert Darren
@Contact     : 2563491540@qq.com
@File        : read_data.py
@Version     : Version 1.0.0
@Description : TODO 继承Dataset抽象类，实现__getitem__和__len__两个方法完成获取每一个样本的数据及标签
@Created By  : PyCharm
"""
from torch.utils.data import Dataset
import os

from PIL import Image


class MyData(Dataset):

    def __init__(self, root_dir, label_dir):
        self.root_dir = root_dir
        self.label_dir = label_dir
        self.path = os.path.join(self.root_dir, self.label_dir)
        self.img_path = os.listdir(self.path)

    def __getitem__(self, idx):
        img_name = self.img_path[idx]
        img_item_path = os.path.join(self.path, img_name)
        img = Image.open(img_item_path)
        return img, self.label_dir

    def __len__(self):
        return len(self.img_path)


if __name__ == '__main__':
    root_folder = "hymenoptera_data/train"
    ants_label_folder = "ants_image"
    ants_dataset = MyData(root_folder, ants_label_folder)
    bees_label_folder = "bees_image"
    bees_dataset = MyData(root_folder, bees_label_folder)
    print(ants_dataset)