深度学习（一）读取数据 图片数据

若label作为文件夹名字，图片存放在里面：

from torch.utils.data import Dataset
import  os
import  cv2 as  cv
 
 
 
class MyData(Dataset):
 
    def __init__(self,root_dir,label_dir):
        self.root_dir = root_dir #读取训练集的路径
        self.label_dir = label_dir #读取label的名字
        self.path = os.path.join(self.root_dir,self.label_dir) #这是图片的路径
        self.img_path = os.listdir(self.path) #把一条条路径变成列表
 
 
    def __getitem__(self, idx):
        img_name = self.img_path[idx]
        img_item_path = os.path.join(self.root_dir,self.label_dir,img_name)
        img = cv.imread(img_item_path)
        label = self.label_dir
        return  img,label
    def __len__(self):
        return len(self.img_path)
 
root_dir = "dataset/train1"
ants_label_dir = "ants"
bees_label_dir = "bees"
ants_dataset = MyData(root_dir,ants_label_dir)
bees_dataset = MyData(root_dir,bees_label_dir)
 
train_dataset = ants_dataset + bees_dataset;
 

若label和图片分别在不同文件夹：

 
from torch.utils.data import Dataset
import  os
import  cv2 as  cv
 
 
class MyData(Dataset):
 
    def __init__(self,root_dir,img_dir,label_dir):
        self.root_dir = root_dir #读取训练集的路径
        self.label_dir = label_dir #读取label的名字
        self.img_dir = img_dir
 
        self.img_path = os.path.join(self.root_dir,self.img_dir) #这是图片的路径
        self.label_path = os.path.join(self.root_dir, self.label_dir)  # 这是标签的路径
 
        self.img_path_list = os.listdir(self.img_path) #把一条条路径变成列表
        self.label_path_list = os.listdir(self.label_path)  # 把一条条路径变成列表
 
 
    def __getitem__(self, idx):
        img_name = self.img_path_list[idx]
        img_item_path = os.path.join(self.img_path,img_name)
        img = cv.imread(img_item_path)
        label_name = self.label_path_list[idx]
        label_item_path = os.path.join(self.label_path, label_name)
        label = open(label_item_path,encoding = 'utf-8')
        content = label.read()
        return  img,content
    def __len__(self):
        return len(self.img_path_list)
 
root_dir = "dataset2/train"
label_dir = "ants_label"
img_dir = "ants_image"
ants_dataset = MyData(root_dir,img_dir,label_dir)