**嘿伙计们，目前正在进行张量流对象检测并由于错误而卡住。网上的方法都试过了，还是不行。 ** 我使用tensorflow == 2.10.0，模型是http://download.tensorflow.org/models/object_detection/tf2/20200711/ssd_mobilenet_v2_fpnlite_320x320_coco17_tpu-8.tar.gz 并使用jupyter笔记本，python版本= Python 3.10.9，无tensorflow gpu
以下是与错误相关的所有内容：
(odball) C:\Users\someone\Desktop\website\2023\TensorFlow Object Detection\TFODBall>python Tensorflow\models\research\object_detection\model_main_tf2.py --model_dir=Tensorflow\workspace\models\my_ssd_mobnet --pipeline_config_path=Tensorflow\workspace\models\my_ssd_mobnet\pipeline.config --num_train_steps=4000
Traceback (most recent call last):
File "C:\Users\someone\Desktop\website\2023\TensorFlow Object Detection\TFODBall\Tensorflow\models\research\object_detection\model_main_tf2.py", line 31, in <module>
from object_detection import model_lib_v2
ImportError: cannot import name 'model_lib_v2' from 'object_detection' (C:\Users\someone\Desktop\website\2023\TensorFlow Object Detection\TFODBall\odball\lib\site-packages\object_detection\__init__.py)
[C:\Users\someone\Desktop\website\2023\TensorFlow Object Detection\TFODBall\Tensorflow\models\research\object_detection\model_main_tf2.py](https://i.stack.imgur.com/mSaqo.png)
The "from object detection" of the image have indicator
说报告缺少导入“对象检测”无法解决
我尝试过的解决方案：
以下是点列表：
Package Version Editable project location
------------------------------- --------------- ---------------------------------------------------------------------------------------------------------
absl-py 2.1.0
anyio 4.3.0
apache-beam 2.54.0
argon2-cffi 23.1.0
argon2-cffi-bindings 21.2.0
arrow 1.3.0
asttokens 2.4.1
astunparse 1.6.3
async-lru 2.0.4
attrs 23.2.0
avro-python3 1.10.2
Babel 2.14.0
beautifulsoup4 4.12.3
bleach 6.1.0
cachetools 5.3.3
certifi 2024.2.2
cffi 1.16.0
charset-normalizer 3.3.2
colorama 0.4.6
comm 0.2.1
contextlib2 21.6.0
contourpy 1.2.0
cycler 0.12.1
Cython 3.0.8
debugpy 1.8.1
decorator 5.1.1
defusedxml 0.7.1
dm-tree 0.1.8
docutils 0.20.1
exceptiongroup 1.2.0
executing 2.0.1
fastjsonschema 2.19.1
flatbuffers 23.5.26
fonttools 4.49.0
fqdn 1.5.1
gast 0.4.0
google-auth 2.28.1
google-auth-oauthlib 0.4.6
google-pasta 0.2.0
grpcio 1.62.0
h11 0.14.0
h5py 3.10.0
httpcore 1.0.4
httpx 0.27.0
idna 3.6
importlib-metadata 7.0.1
ipykernel 6.29.3
ipython 8.22.1
ipywidgets 8.1.2
isoduration 20.11.0
jaraco.classes 3.3.1
jedi 0.19.1
Jinja2 3.1.3
json5 0.9.17
jsonpointer 2.4
jsonschema 4.21.1
jsonschema-specifications 2023.12.1
jupyter 1.0.0
jupyter_client 8.6.0
jupyter-console 6.6.3
jupyter_core 5.7.1
jupyter-events 0.9.0
jupyter-lsp 2.2.3
jupyter_server 2.12.5
jupyter_server_terminals 0.5.2
jupyterlab 4.1.2
jupyterlab_pygments 0.3.0
jupyterlab_server 2.25.3
jupyterlab_widgets 3.0.10
keras 2.10.0
Keras-Preprocessing 1.1.2
keyring 24.3.1
kiwisolver 1.4.5
libclang 16.0.6
lvis 0.5.3
lxml 5.1.0
Markdown 3.5.2
markdown-it-py 3.0.0
MarkupSafe 2.1.5
matplotlib 3.8.3
matplotlib-inline 0.1.6
mdurl 0.1.2
mistune 3.0.2
ml-dtypes 0.3.2
more-itertools 10.2.0
namex 0.0.7
nbclient 0.9.0
nbconvert 7.16.1
nbformat 5.9.2
nest-asyncio 1.6.0
nh3 0.2.15
notebook 7.1.1
notebook_shim 0.2.4
numpy 1.26.4
oauthlib 3.2.2
object-detection 0.1
opencv-python 4.9.0.80
opt-einsum 3.3.0
overrides 7.7.0
packaging 23.2
pandas 2.2.1
pandocfilters 1.5.1
parso 0.8.3
pillow 10.2.0
pip 24.0
pkginfo 1.9.6
platformdirs 4.2.0
portalocker 2.8.2
prometheus_client 0.20.0
prompt-toolkit 3.0.43
protobuf 3.19.6
psutil 5.9.8
pure-eval 0.2.2
pyasn1 0.5.1
pyasn1-modules 0.3.0
pycocotools 2.0.7
pycparser 2.21
Pygments 2.17.2
pyparsing 2.4.7
PyQt5 5.15.10
PyQt5-Qt5 5.15.2
PyQt5-sip 12.13.0
python-dateutil 2.8.2
python-json-logger 2.0.7
pytz 2024.1
pywin32 306
pywin32-ctypes 0.2.2
pywinpty 2.0.13
PyYAML 6.0.1
pyzmq 25.1.2
qtconsole 5.5.1
QtPy 2.4.1
readme_renderer 43.0
referencing 0.33.0
regex 2023.12.25
requests 2.31.0
requests-oauthlib 1.3.1
requests-toolbelt 1.0.0
rfc3339-validator 0.1.4
rfc3986 2.0.0
rfc3986-validator 0.1.1
rich 13.7.0
rpds-py 0.18.0
rsa 4.9
sacrebleu 2.2.0
scipy 1.12.0
Send2Trash 1.8.2
setuptools 65.5.0
six 1.16.0
slim 0.1 c:\users\someone\desktop\website\2023\tensorflow object detection\tfodball\tensorflow\models\research\slim
sniffio 1.3.1
soupsieve 2.5
stack-data 0.6.3
tabulate 0.9.0
tensorboard 2.10.1
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.1
tensorflow 2.10.0
tensorflow-estimator 2.10.0
tensorflow-io 0.31.0
tensorflow-io-gcs-filesystem 0.31.0
tensorflow-object-detection-api 0.1.1
termcolor 2.4.0
terminado 0.18.0
tf-models-official 2.15.0
tf-slim 1.1.0
tinycss2 1.2.1
tomli 2.0.1
tornado 6.4
traitlets 5.14.1
twine 5.0.0
types-python-dateutil 2.8.19.20240106
typing_extensions 4.10.0
uri-template 1.3.0
urllib3 2.2.1
wcwidth 0.2.13
webcolors 1.13
webencodings 0.5.1
websocket-client 1.7.0
Werkzeug 3.0.1
wget 3.2
wheel 0.42.0
widgetsnbextension 4.0.10
wrapt 1.16.0
zipp 3.17.0
我尝试过的解决方案：
1. pip install tensorflow-object-detection-api
2. uninstall and reinstall tensorflow
3. restart kernel
我期待物体检测能够得到解决，不幸的是它仍然存在导致错误
我发现了问题，代码已经过时，并且tensorflow 2不支持某些旧版本的软件包。另外，除非我使用其他方法，否则没有特定版本是不可能的。解决方案是学习受支持的新技术并阅读最新的文档和 github 存储库来完成项目。