Python 设置Tensorflow对象检测

我一直在尝试设置目标检测环境

但我被困在这条线上

python object_detection/builders/model_builder_test.py

它吐出了这个错误

Traceback (most recent call last):
  File "object_detection/builders/model_builder_test.py", line 21, in <module>
    from object_detection.builders import model_builder
ImportError: No module named object_detection.builders

pip freeze>requirements.txt

altgraph==0.10.2
appnope==0.1.0
backports-abc==0.5
backports.shutil-get-terminal-size==1.0.0
backports.weakref==1.0rc1
bdist-mpkg==0.5.0
bleach==1.5.0
bonjour-py==0.3
certifi==2017.4.17
configparser==3.5.0
decorator==4.0.11
entrypoints==0.2.3
enum34==1.1.6
funcsigs==1.0.2
functools32==3.2.3.post2
html5lib==0.9999999
ipykernel==4.6.1
ipython==5.4.1
ipython-genutils==0.2.0
ipywidgets==6.0.0
Jinja2==2.9.6
jsonschema==2.6.0
jupyter==1.0.0
jupyter-client==5.0.1
jupyter-console==5.1.0
jupyter-core==4.3.0
lxml==3.8.0
macholib==1.5.1
Markdown==2.2.0
MarkupSafe==1.0
matplotlib==1.3.1
mistune==0.7.4
mock==2.0.0
modulegraph==0.10.4
nbconvert==5.2.1
nbformat==4.3.0
nose==1.3.7
notebook==5.0.0
numpy==1.13.0
olefile==0.44
pandocfilters==1.4.1
pathlib2==2.3.0
pbr==3.1.1
pexpect==4.2.1
pickleshare==0.7.4
Pillow==4.1.1
prompt-toolkit==1.0.14
protobuf==3.3.0
ptyprocess==0.5.1
py2app==0.7.3
Pygments==2.2.0
pyobjc-core==2.5.1
pyobjc-framework-Accounts==2.5.1
pyobjc-framework-AddressBook==2.5.1
pyobjc-framework-AppleScriptKit==2.5.1
pyobjc-framework-AppleScriptObjC==2.5.1
pyobjc-framework-Automator==2.5.1
pyobjc-framework-CFNetwork==2.5.1
pyobjc-framework-Cocoa==2.5.1
pyobjc-framework-Collaboration==2.5.1
pyobjc-framework-CoreData==2.5.1
pyobjc-framework-CoreLocation==2.5.1
pyobjc-framework-CoreText==2.5.1
pyobjc-framework-DictionaryServices==2.5.1
pyobjc-framework-EventKit==2.5.1
pyobjc-framework-ExceptionHandling==2.5.1
pyobjc-framework-FSEvents==2.5.1
pyobjc-framework-InputMethodKit==2.5.1
pyobjc-framework-InstallerPlugins==2.5.1
pyobjc-framework-InstantMessage==2.5.1
pyobjc-framework-LatentSemanticMapping==2.5.1
pyobjc-framework-LaunchServices==2.5.1
pyobjc-framework-Message==2.5.1
pyobjc-framework-OpenDirectory==2.5.1
pyobjc-framework-PreferencePanes==2.5.1
pyobjc-framework-PubSub==2.5.1
pyobjc-framework-QTKit==2.5.1
pyobjc-framework-Quartz==2.5.1
pyobjc-framework-ScreenSaver==2.5.1
pyobjc-framework-ScriptingBridge==2.5.1
pyobjc-framework-SearchKit==2.5.1
pyobjc-framework-ServiceManagement==2.5.1
pyobjc-framework-Social==2.5.1
pyobjc-framework-SyncServices==2.5.1
pyobjc-framework-SystemConfiguration==2.5.1
pyobjc-framework-WebKit==2.5.1
pyOpenSSL==0.13.1
pyparsing==2.0.1
python-dateutil==2.6.0
pytz==2013.7
pyzmq==16.0.2
qtconsole==4.3.0
scandir==1.5
scipy==0.13.0b1
simplegeneric==0.8.1
singledispatch==3.4.0.3
six==1.10.0
tensorflow==1.2.0
terminado==0.6
testpath==0.3.1
tornado==4.5.1
traitlets==4.3.2
vboxapi==1.0
virtualenv==15.1.0
wcwidth==0.1.7
webencodings==0.5.1
Werkzeug==0.12.2
widgetsnbextension==2.0.0
xattr==0.6.4
zope.interface==4.1.1

如果有人有线索，请告诉我

编辑1

我正在使用virtualenv，但找不到tensorflow/models/目录

(objectDetects) $ pip show tensorflow
Name: tensorflow
Version: 1.2.0
Summary: TensorFlow helps the tensors flow
Home-page: http://tensorflow.org/
Author: Google Inc.
Author-email: opensource@google.com
License: Apache 2.0
Location: /tensorflow/objectDetects/lib/python2.7/site-packages
Requires: bleach, werkzeug, html5lib, six, markdown, backports.weakref, wheel, numpy, mock, protobuf

所以我试着从根文件夹导出它，它抛出了一个新的错误

(objectDetects) $ export PYTHONPATH=$PYTHONPATH:`pwd`:`pwd`/slim
(objectDetects) $ python object_detection/builders/model_builder_test.py
Traceback (most recent call last):
  File "object_detection/builders/model_builder_test.py", line 21, in <module>
    from object_detection.builders import model_builder
  File "/tensorflow/objectDetects/object_detection/builders/model_builder.py", line 30, in <module>
    from object_detection.models import faster_rcnn_inception_resnet_v2_feature_extractor as frcnn_inc_res
  File "/tensorflow/objectDetects/object_detection/models/faster_rcnn_inception_resnet_v2_feature_extractor.py", line 29, in <module>
    from nets import inception_resnet_v2
ImportError: No module named nets

（objectDetects）$export PYTHONPATH=$PYTHONPATH:`pwd`:`pwd`/slim
（objectDetects）$python object\u detection/builders/model\u builder\u test.py
回溯（最近一次呼叫最后一次）：
文件“object\u detection/builders/model\u builder\u test.py”，第21行，在
从object_detection.builders导入模型_builder
文件“/tensorflow/objectDetects/object_detection/builders/model_builder.py”，第30行，在
从object\u detection.models导入更快的\u rcnn\u inception\u resnet\u v2\u feature\u提取器作为frcnn\u inc\u res
文件“/tensorflow/objectDetects/object\u detection/models/faster\rcnn\u inception\u resnet\u v2\u feature\u extractor.py”，第29行，在
从网络导入初始值\u resnet\u v2
ImportError:没有名为nets的模块

尝试将库添加到python路径。
从tensorflow/models目录运行以下命令。

# From tensorflow/models/
export PYTHONPATH=$PYTHONPATH:`pwd`:`pwd`/slim

现在代码将成功运行。此命令需要从您启动的每个新终端运行。如果希望避免手动运行此命令，可以将其作为新行添加到~/.bashrc文件的末尾。

---

有关更多信息，请检查：将库添加到PYTHON路径部分。

为避免每次将PYTHONPATH添加到~/.bashrc文件时出现此错误。以下是供参考的文件

LOCAL_DIR=$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )
var=$(printf 'export PYTHONPATH="${PYTHONPATH}:%s/slim"' "$LOCAL_DIR")
echo $var >> ~/.bashrc

从

tensorflow/models/research/

运行上面的行，然后从同一目录运行下面的行

---

python object\u detection/builders/model\u builder\u test.py

我正在使用virtualven，因此找不到tensorflow/models目录。（请参阅原始帖子上的新编辑）如果您想更改

virtualenv

中使用的

PYTHONPATH

，您可以在您的virtualenv的

bin/activate

文件中添加以下行：

导出PYTHONPATH=“/the/path/you/want”

了解更多详细信息[此链接]（），而此链接可能会回答问题，最好在这里包括答案的基本部分，并提供链接供参考。如果链接页面发生更改，则仅链接的答案可能无效。

LOCAL_DIR=$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )
var=$(printf 'export PYTHONPATH="${PYTHONPATH}:%s/slim"' "$LOCAL_DIR")
echo $var >> ~/.bashrc