可以说土堆真的保姆级

学习读取数据集中的各类数据

from torch.utils.data import Dataset
from PIL import Image
import osclass MyData(Dataset):def __init__(self,root_dir,label_dir):self.root_dir = root_dirself.label_dir = label_dirself.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.root_dir,self.label_dir,img_name)img = Image.open(img_item_path)label = self.label_dirreturn img,labeldef __len__(self):return len(self.img_path)root_dir = "dataset/train"
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

python console

C:\ProgramData\Anaconda3\envs\pytorch\python.exe "C:\D\ccpython\PyCharm Community Edition 2021.3.1\plugins\python-ce\helpers\pydev\pydevconsole.py" --mode=client --port=53938
import sys; print('Python %s on %s' % (sys.version, sys.platform))
sys.path.extend(['C:\\Users\\26940\\Desktop\\learn_pytorchc', 'C:/Users/26940/Desktop/learn_pytorchc'])
Python 3.6.13 |Anaconda, Inc.| (default, Mar 16 2021, 11:37:27) [MSC v.1916 64 bit (AMD64)]
Type 'copyright', 'credits' or 'license' for more information
IPython 6.1.0 -- An enhanced Interactive Python. Type '?' for help.
PyDev console: using IPython 6.1.0
Python 3.6.13 |Anaconda, Inc.| (default, Mar 16 2021, 11:37:27) [MSC v.1916 64 bit (AMD64)] on win32
from torch.utils.data import Dataset
from PIL import Image
import os
class MyData(Dataset):def __init__(self,root_dir,label_dir):self.root_dir = root_dirself.label_dir = label_dirself.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.root_dir,self.label_dir,img_name)img = Image.open(img_item_path)label = self.label_dirreturn img,labeldef __len__(self):return len(self.img_path)root_dir = "dataset/train"
ants_label_dir = "ants"
ants_dataset = MyData(root_dir,ants_label_dir)
root_dir = "dataset/train"
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
len(train_dataset)
Out[7]: 245
img,label=train_dataset[124]
img.show()

蜜蜂蚂蚁数据集：

https://download.pytorch.org/tutorial/hymenoptera_data.ziphttps://download.pytorch.org/tutorial/hymenoptera_data.zip

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conception 观念

irritate 激怒

lapse 失误

accommodate 容纳

fiber 纤维素

maneuver 演习

intelligible 可理解的

ashore 上岸

amplify 放大

discreet 谨慎的

council 委员会

lateral 侧面的

illustration 例证

breeze 微风

strain 拉紧

marital 夫妻的

indicative 表示的

therapy 治疗

transplant 迁移

moral 道德的

nasty 烦人的

ingenious 精致的

arena 竞技场

explicit 明确的

assimilate 同化

presumably 大概

liberty 自由

stalk 跟踪

stimulate 刺激

ancestor 祖宗

sway 摇摆

evaporate 蒸发

dread 恐惧

terminate 结束

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wy补录，投wb，bz

明天一面md