正确的类名应该是ArgumentParser而不是argumentparser。Python是大小写敏感的,因此使用错误的类名会导致ImportError。 提供正确的导入语句: python from argparse import ArgumentParser 解释为什么用户的代码是错误的: 在Python中,类名、函数名以及模块名都是大小写敏感的。argp
from argparse import ArgumentParser from collections.abc import Iterator from pathlib import Pathfrom datasets import Dataset, Image, Sequence from huggingface_hub import HfApi from pydantic import BaseModelfrom labbench import HF_DATASET_REPO, Eval, EvalSet, EvaluatorREPO...
接下来,我们将创建一个简单的命令行接口,允许用户输入当前路径并获取上一层路径。 importargparsedefmain():parser=argparse.ArgumentParser(description='返回到上一层目录的工具')parser.add_argument('current_directory',type=str,help='当前工作目录')args=parser.parse_args()try:parent_directory=navigate_to_pare...
import textwrap from argparse import ArgumentParser, RawDescriptionHelpFormatter from os import environ from .. import db, remove_all_labels def main(): parser = ArgumentParser( formatter_class=RawDescriptionHelpFormatter, description=textwrap.dedent(""" formatter_class=RawDescriptionHelpFormatter, descrip...
from __future__ import print_function import sys import os from argparse import ArgumentParser, SUPPRESS import cv2 import numpy as np import logging as log from openvino.inference_engine import IECore def build_argparser(): parser = ArgumentParser(add_help=False) args = pa...
ap = argparse.ArgumentParser() ap.add_argument("-p","--prototxt", required=True,help="path to Caffe 'deploy' prototxt file") ap.add_argument("-m","--model", required=True,help="path to Caffe pre-trained model") ap.add_argument("-v","--video", required=True,help="path to input...
# Parse CLI parameters.importargparse parser = argparse.ArgumentParser(description='MindSpore Lenet Example') parser.add_argument('--data_url',type=str, default="./Data",help='path where the dataset is saved') parser.add_argument('--train_url',type=str, default="./Model",help='if is te...
parser = argparse.ArgumentParser() parser.add_argument('--weights',type=str, default='./yolov5s.pt',help='weights path')# from yolov5/models/parser.add_argument('--img-size', nargs='+',type=int, default=[640,640],help='image size')# height, widthparser.add_argument('--batch-size...
importargparsedef args_parser(): parser = argparse.ArgumentParser() # federated arguments (Notation for the arguments followed from paper) parser.add_argument('--epochs', type=int, default=10, help="number of rounds of training") parser.add_argument('--num_users', type=int, default=100, ...
from argparse import ArgumentParser from datasets import load_dataset from pathlib import Path from shutil import rmtree from tqdm import tqdm import json import os import re def write_program(self, assistant_output, out_fname): old_program = "" if Path(out_fname).exists(): with open(out_...