我正在尝试TensorFlow Object Detection API在Google Colab上运行以SSD-Mobilenet在自定义数据集上训练模型。但是我面临着这个NoModuleError。找不到模块'nets'。我已经发现人们面临类似的问题，尽管他们没有在Google Colab中运行Trining。以下是一些链接：
ModuleNotFoundError：没有名为“ nets”（TensorFlow）的模块
上面到处都是，我发现添加的建议PYTHONPATH的slim和research文件夹和我做了他们所有。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'
但是仍然出现此错误。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'
如我所知，错误产生线是from nets import inception_resnet_v2file的faster_rcnn_inception_resnet_v2_feature_extractor.py。因此，我另外nets在该范围内复制了该文件夹，以便它可以找到该模块。但是，尽管现在不应该找不到该模块，但仍在说同样的话。还有什么可能出问题了？
好的！我设法使用中的以下方法解决了该问题Colab。如果您认为所有必需的软件包都已安装并且可以正确使用，请从数字点开始4：
model使用以下命令进行安装：
!git clone --depth 1 https://github.com/tensorflow/models
还将以下软件包安装在同一目录中：
!apt-get install -qq protobuf-compiler python-pil python-lxml python-tk
!pip install -q Cython contextlib2 pillow lxml matplotlib
!pip install -q pycocotools
现在转到研究文件夹以编译.proto文件。为此，请先research运行以下命令转到该文件夹：
%cd /content/models/research
现在编译.proto文件：
!protoc object_detection/protos/*.proto --python_out=.
现在添加执行以下代码的python-path：
import os
os.environ['PYTHONPATH'] += ':/content/models/research/:/content/models/research/slim/'
如果您还面临以下问题，tf-slim请安装以下软件包：
!pip install git+https://github.com/google-research/tf-slim
做完了！
注意：
tensorflow 1.x基本上tensorflow 1.15.2由提供Colab。本文收集自互联网，转载请注明来源。
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我来说两句