ModuleNotFoundError:当我尝试"pot -h“时，没有名为”libs.open_model_zoo“的模块

Question

目前，pot 1.0 (培训后优化)已经安装完毕。我可以在命令pip list的结果列表中看到POT1.0。但是当我尝试测试pot -h时，我收到了一条错误消息

ModuleNotFoundError:没有名为“libs.open_model_zoo”的模块

然后我用pip list检查了列表，其中没有"libs“。什么时候应该安装libs软件包，以及如何安装？顺便说一句，我在笔记本上成功地运行了模型优化器和推理机。

以下是系统变量“PYTHONPATH”的变量值：

%INTEL_OPENVINO_DIR%\python\python3.7;
%INTEL_OPENVINO_DIR%\deployment_tools\model_optimizer;
%INTEL_OPENVINO_DIR%\deployment_tools\open_model_zoo;

以下是系统变量“OPENVINOPATH”的变量值：

%INTEL_OPENVINO_DIR%\deployment_tools\inference_engine\bin\intel64\Release;
%INTEL_OPENVINO_DIR%\deployment_tools\inference_engine\bin\intel64\Debug;
%HDDL_INSTALL_DIR%\bin;
%INTEL_OPENVINO_DIR%\opencv\bin;
%INTEL_OPENVINO_DIR%\openvx\bin;
%INTEL_OPENVINO_DIR%\deployment_tools\ngraph\lib;
%INTEL_OPENVINO_DIR%\deployment_tools\inference_engine\external\tbb\bin;

%OPENVINO_PATH%被添加到PATH变量中。

下面是我收到的错误消息：

(3D-Medical-Segmentation-GAN) PS C:\WINDOWS\system32> pot -h
Traceback (most recent call last):
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\lib\site-packages\pot-1.0-py3.7.egg\compression\utils\ac_imports.py", line 15, in <module>
from libs.open_model_zoo.tools.accuracy_checker.\
ModuleNotFoundError: No module named 'libs.open_model_zoo'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\Scripts\pot-script.py", line 30, in <module>
sys.exit(load_entry_point('pot==1.0', 'console_scripts', 'pot')())
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\Scripts\pot-script.py", line 22, in importlib_load_entry_point
return next(matches).load()
File "C:\Users\310091560\AppData\Roaming\Python\Python37\site-packages\importlib_metadata\__init__.py", line 178, in load
module = import_module(match.group('module'))
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\lib\importlib\__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\lib\site-packages\pot-1.0-py3.7.egg\app\run.py", line 20, in <module>
from compression.configs.config import Config
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\lib\site-packages\pot-1.0-py3.7.egg\compression\__init__.py", line 13, in <module>
from .algorithms.quantization.accuracy_aware.algorithm import AccuracyAwareQuantization
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\lib\site-packages\pot-1.0-py3.7.egg\compression\algorithms\quantization\accuracy_aware\algorithm.py", line 20, in <module>
from .utils import create_metric_config, is_preset_performance, \
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\lib\site-packages\pot-1.0-py3.7.egg\compression\algorithms\quantization\accuracy_aware\utils.py", line 20, in <module>
from ....algorithms.quantization import utils as eu
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\lib\site-packages\pot-1.0-py3.7.egg\compression\algorithms\quantization\utils.py", line 19, in <module>
from ...engines.ac_engine import ACEngine
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\lib\site-packages\pot-1.0-py3.7.egg\compression\engines\ac_engine.py", line 22, in <module>
from ..data_loaders.ac_data_loader import ACDataLoader
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\lib\site-packages\pot-1.0-py3.7.egg\compression\data_loaders\ac_data_loader.py", line 16, in <module>
from ..utils.ac_imports import Dataset, DatasetWrapper
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\lib\site-packages\pot-1.0-py3.7.egg\compression\utils\ac_imports.py", line 24, in <module>
from accuracy_checker.evaluators.quantization_model_evaluator import create_model_evaluator
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\lib\site-packages\accuracy_checker-0.8.7-py3.7.egg\accuracy_checker\evaluators\__init__.py", line 17, in <module>
from .model_evaluator import ModelEvaluator
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\lib\site-packages\accuracy_checker-0.8.7-py3.7.egg\accuracy_checker\evaluators\model_evaluator.py", line 21, in <module>
from ..utils import get_path, extract_image_representations, is_path
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\lib\site-packages\accuracy_checker-0.8.7-py3.7.egg\accuracy_checker\utils.py", line 41, in <module>
from shapely.geometry.polygon import Polygon
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\lib\site-packages\shapely\geometry\__init__.py", line 4, in <module>
from .base import CAP_STYLE, JOIN_STYLE
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\lib\site-packages\shapely\geometry\base.py", line 19, in <module>
from shapely.coords import CoordinateSequence
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\lib\site-packages\shapely\coords.py", line 8, in <module>
from shapely.geos import lgeos
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\lib\site-packages\shapely\geos.py", line 154, in <module>
_lgeos = CDLL(os.path.join(sys.prefix, 'Library', 'bin', 'geos_c.dll'))
File "C:\Users\310091560\Miniconda3\envs\3D-Medical-Segmentation-GAN\lib\ctypes\__init__.py", line 364, in __init__
self._handle = _dlopen(self._name, mode)
OSError: [WinError 126] The specified module could not be found

Answer 1

如果您正在使用OpenVINO™工具包包，那么“™”应该包含在安装包中。但是，如果您使用的是开放源码OpenVINO，则可以尝试运行以下命令来检查安装：

git克隆zoo.git

-E _ copy_directory ./open_model_copy_directory//deployment_tools/open_model_copy_directory/

然后，通过引用PyPI安装锅来安装这个罐子

Answer 2

模型优化器是一种工具，用于导入、转换和优化在流行框架中培训过的模型，使其成为Intel工具，特别是推理机可以使用的格式。推理机是运行深度学习模型的引擎。它包括一组库，以便于将推理集成到应用程序中。因此，模型优化器和推理引擎不依赖于"libs.open_model_zoo“。好像你的安装有问题。您可以重新安装OpenVINO 2021.4。然后，通过引用以下链接尝试重新安装和设置POT：套餐