Models: When fine tune Pet dataset. ImportError: No module named deployment

[mattdingmeng]

I follow the instruction to fine tune the PET dataset.
In the /tensorflow/models, I used 'python object_detection/train.py --logtostderr --pipeline_config_path=${} ......'
But I got the ImportError:
Traceback (most recent call last):
File "object_detection/train.py", line 51, in
from object_detection import trainer
File "/home/aaa/tensorflow/models/object_detection/trainer.py", line 33, in
from deployment import model_deploy
ImportError: No module named deployment

[heroinlin]

see models/object_detection/g3doc/installation.md

the deployment folder belong to slim folder.

you should add slim to PYTHONPATH .

[shivaniag]

Please reopen this issue if the above mentioned solution didn't work for you.

[aoancea]

I'm not quite sure how you run this on Windows.

What I did was to copy over all packages that appeared to be missing when running tensorflow. Basically you can look up the those packages inside modelsslim and copy them over to Python35Libsite-packages

[heroinlin]

I used PyCharm to run the project. Add model/slim to Interpreter Paths,
like this

[aoancea]

Is that a global fix for when you run it from command line(cmd) as well?

[heroinlin]

It's not a global fix, only run in PyCharm.

2017-09-02 14:10 GMT+08:00 Alex Oancea [e-mail]:

Is that a global fix for when you run it from command line(cmd) as well?

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[ghost]

@aoancea what are this packages ?

[aoancea]

@madekwe probably some libraries needed to run object_detection. They might also be required to be in PATH but it seemed to be a better idea to just copy them over :)

[Viveco]

from slim.deployment import model_deploy

[CHAMOD]

This work for me in windows:

• Copy relevant deployment files from the modelsslim directory
• paste it to PythonLibsite-packages directory

then run again.It will work!