我正在尝试在 Google Colab 上运行 TensorFlow 对象检测 API
,以在自定义数据集上训练 SSD-Mobilenet
模型。但我面临着这个NoModuleError。它没有找到模块'nets'
。我已经发现有人面临类似的问题,尽管他们没有在 Google Colab 中运行 Trining。以下是一些链接:
ImportError: No module named 'nets'
ModuleNotFoundError: No module named 'nets' (TensorFlow)
在上面的所有地方,我都发现了添加 slim
和 research
文件夹的 PYTHONPATH
的建议,并且我全部完成了。以下是我已经添加的路径:
! echo $PYTHONPATH
import os
os.environ['PYTHONPATH'] += ":/models"
os.environ['PYTHONPATH'] += ":/models/research"
os.environ['PYTHONPATH'] += ":/models/research/slim"
# I copied the `nets` folder inside models folder and
# additionally here adding this folder to python path such that it becomes available to `faster_rcnn_inception_resnet_v2_feature_extractor.py` file for importing.
os.environ['PYTHONPATH'] += ":/models/nets"
! echo $PYTHONPATH
%cd '/content/gdrive/My Drive/Computer_vision_with_deep_learning/TFOD/models/research/'
!python setup.py build
!python setup.py install
%cd '/content/gdrive/My Drive/Computer_vision_with_deep_learning/TFOD'
但仍然出现此错误。以下是我在 Colab 上遇到的错误:
Traceback (most recent call last):
File "training/train.py", line 26, in <module>
from object_detection import model_lib
File "/content/gdrive/My Drive/Computer_vision_with_deep_learning/TFOD/training/object_detection/model_lib.py", line 28, in <module>
from object_detection import exporter as exporter_lib
File "/content/gdrive/My Drive/Computer_vision_with_deep_learning/TFOD/training/object_detection/exporter.py", line 23, in <module>
from object_detection.builders import model_builder
File "/content/gdrive/My Drive/Computer_vision_with_deep_learning/TFOD/training/object_detection/builders/model_builder.py", line 59, in <module>
from object_detection.models import faster_rcnn_inception_resnet_v2_feature_extractor as frcnn_inc_res
File "/content/gdrive/My Drive/Computer_vision_with_deep_learning/TFOD/training/object_detection/models/faster_rcnn_inception_resnet_v2_feature_extractor.py", line 30, in <module>
from nets import inception_resnet_v2
ModuleNotFoundError: No module named 'nets'
正如我注意到的,错误产生行是文件faster_rcnn_inception_resnet_v2_feature_extractor.py
的from nets import inception_resnet_v2
。因此,我另外将 nets
文件夹复制到其范围内,以便它可以找到该模块。但它仍然说同样的话,尽管现在没有必要找不到这个模块。这里还可能出了什么问题?
最佳答案
我遇到了同样的错误,但我找到了可能的解决方案。 您需要在 slim 目录中运行上面的代码。
%cd drive/My\ Drive/<path to slim>/slim
!python setup.py build
!python setup.py install
此代码运行 slim 的 setup.py
,实际上它设置了所需的所有模块。
您可能还需要将 slim 路径添加到环境变量中。
os.environ['PYTHONPATH'] = '/env/python/drive/My Drive/slim'
或者
! export PYTHONPATH=$PYTHONPATH:pwd:pwd/slim
以下是对我有用的链接。
https://github.com/tensorflow/models/issues/1842
希望这会有所帮助。
关于python - 模块未找到错误: No module named 'nets' on Google Colab,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/61934198/