当你遇到错误 "cannot import name 'int_classes' from 'torch._six'" 时,这通常意味着你的代码试图从一个在新版本的PyTorch中已经被移除或更改的模块中导入一个不再存在的类。这里有几个可能的解决方案来帮助你解决这个问题: 确认环境信息: 确认你的Python版本和PyTorch版本。根据提供的信息,这个问题通常出现在...
cannot import name get_num_classes from torchmetrics.utilities.data这个错误提示并不是因为函数不存在,而是因为函数没有被正确导入。我们只需要在代码中添加一行导入语句,就可以解决这个问题。 在PyTorch的开发者社区中,get_num_classes函数是一个非常有用的函数,它可以帮助我们统计数据集中各个类别的数量。但是,有时...
Importerror: cannot import name url from django.conf.urls Importerror: cannot import name ‘pillow_version’ from ‘pil’ Conclusion In conclusion, the“ImportError: cannot import name get_num_classes from torchmetrics.utilities.data”error is a common issue that occurs when the Python ...
代码报错:ImportError: cannot import name ‘get_num_classes’ from ‘torchmetrics.utilities.data’ 根据报错指示进行查看,发现报错位置是torchmetrics文件。 ✍初步判断,安装的torchmetrics版本与代码要求的版本不一致。 注意:千万不要手欠去修改源码 正确解决方案:更换torchmetrics版本为0.5版本。
报错解决——ImportError: cannot import name ‘container_abcs‘ from ‘torch._six‘ (/home/csj/anaconda3/envs/p,将fromtorch._siximportcontainer_abcs,string_classes,int_classes改成:string_classes=strint_classes=intimportcollections.abcascontainer_abcs
❓ Questions and Help Description I'm using pytorch2.0.0, the version of torchtext is 0.15.2, when I import "Field" and "BucketIterator" in the code(from torchtext.data import Field, BucketIterator), I got an error from this sentence: Imp...
import argparse import os import platform import sys from pathlib import Path from PIL import ImageDraw, ImageFont import torch import numpy as np import time import pyrealsense2 as rs import math import threading FILE = Path(__file__).resolve() ROOT = FILE.parents[1] # YOLOv5 root directo...
import requests from pathlib import Path from PIL import Image import torchvision import torch import numpy as np from scipy.special import softmax import openvino as ov MODEL_DIR = Path("model") DATA_DIR = Path("data") MODEL_DIR.mkdir(exist_ok=True) DATA_...
special import softmax import openvino as ov MODEL_DIR = Path("model") DATA_DIR = Path("data") MODEL_DIR.mkdir(exist_ok=True) DATA_DIR.mkdir(exist_ok=True) MODEL_NAME = "regnet_y_800mf" image = Image.open(requests.get("https://farm9.staticflickr.com/8225/851140...
('work_dir', None) is None: # use config filename as default work_dir if cfg.work_dir is None cfg.work_dir = osp.join('./work_dirs', osp.splitext(osp.basename(args.config))[0]) # enable automatic-mixed-precision training if args.amp is True: from mmengine.optim import AmpOptim...