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使用Detectron2预训练模型时触发NotImplementedError问题求助

使用Detectron2预训练模型时触发NotImplementedError

执行以下代码初始化Detectron2的DefaultPredictor时出现NotImplementedError:

安装与导入代码

import torch
torch.__version__
import torchvision
#torchvision.__version__
!pip install detectron2 -f https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.7/index.html
import detectron2
from detectron2.utils.logger import setup_logger
setup_logger()

import numpy as np
import os, json, cv2, random
import matplotlib.pyplot as plt
%matplotlib inline
from detectron2 import model_zoo
from detectron2.engine import DefaultPredictor
from detectron2.config import get_cfg
from detectron2.utils.visualizer import Visualizer
from detectron2.data import MetadataCatalog, DatasetCatalog
from detectron2.structures import BoxMode

配置与初始化代码

cfg = get_cfg()
cfg.merge_from_file(model_zoo.get_config_file("COCOInstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml"))
cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.5 
cfg.MODEL.WEIGHTS = model_zoo.get_checkpoint_url("COCOInstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml")
predictor = DefaultPredictor(cfg)

错误信息

---------------------------------------------------------------------------
NotImplementedError                       Traceback (most recent call last)
<ipython-input-27-699e754fc9df> in <module>
----> 1 predictor = DefaultPredictor(cfg)

4 frames
/usr/local/lib/python3.8/dist-packages/iopath/common/file_io.py in _isfile(self, path, **kwargs)
    438             bool: true if the path is a file
    439         """
--> 440         raise NotImplementedError()
    441 
    442     def _isdir(self, path: str, **kwargs: Any) -> bool:

NotImplementedError: 

解决方法

  • 升级iopath库:该错误通常由iopath版本不兼容导致,执行以下命令升级:

    pip install --upgrade iopath
    
  • 确保版本匹配:检查PyTorch、CUDA与Detectron2版本是否对应。当前使用的是CUDA10.2+PyTorch1.7,需确保安装的Detectron2轮子适配该环境,版本不匹配会引发依赖问题。

  • 手动加载本地权重:若自动下载权重出现问题,可手动下载后本地加载:

    1. 下载权重:
      wget https://dl.fbaipublicfiles.com/detectron2/COCOInstanceSegmentation/mask_rcnn_R_50_FPN_3x/137849600/model_final_f10217.pkl
      
    2. 修改配置中的权重路径:
      cfg.MODEL.WEIGHTS = "./model_final_f10217.pkl"
      
  • 重新安装Detectron2:若上述方法无效,彻底卸载后重装对应版本:

    pip uninstall detectron2 -y
    pip install detectron2 -f https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.7/index.html --force-reinstall
    

内容的提问来源于stack exchange,提问作者Keshav Khanal

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最近更新时间:2026.08.07 17:15:27