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tryolabs / luminoth

Deep Learning toolkit for Computer Vision.
https://tryolabs.com
BSD 3-Clause "New" or "Revised" License
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Hitting a problem as soon as I run lumi #303

Closed mbhoshen closed 3 years ago

mbhoshen commented 3 years ago

(luminoth) C:\Users\moshe\luminoth>lumi checkpoint refresh Luminoth requires a TensorFlow >= 1.5 installation.

Depending on your use case, you should install either tensorflow or tensorflow-gpu packages manually or via PyPI.

I installed specially tensorflow 1.5, to get is as simple as possible (not GPU, though with a GPU and tensorflow-gpu I got the same) python 3.6 Windows 10 and then pip install luminoth running lumi --help, or any other lumi command I get this error

in a special conda environment in a python shell I can import tensorflow Any ideas what might be wrong?

Thanks!!

AlphonsG commented 3 years ago

So other lumi commands work, only lumi checkpoint refresh doesnt?

mbhoshen commented 3 years ago

Thanks Any lumi command raises the error. It just does not see the package, even though within the environment, python does see it. I was trying to run luminoth as a basis for Tabulo, and that is where I started seeing the problem. I found that I was hitting an exception being raised on the tensorflow issue. It seems to happen within lumi.exe, not within python, so I can't fix the code, but it must be something to do with the installation, where something must be wrong. I am really looking for a good program to detect tables and their structure, and this looked just great, but I am hitting a brick wall. Any help would be much appreciated

AlphonsG commented 3 years ago

Okay, try a new environment and install luminoth with tensorflow 1.15. If that doesn't work, create another environment and try pip install luminoth[tf] or pip install luminoth[tf-gpu] as the Readme says.

Btw, I would use this repo https://github.com/open-mmlab/mmdetection instead of this one now. Luminoth is nice, but it's no longer supported while mmdetection should be better in every single way.

IanTayler commented 3 years ago

Okay, try a new environment and install luminoth with tensorflow 1.15. If that doesn't work, create another environment and try pip install luminoth[tf] or pip install luminoth[tf-gpu] as the Readme says.

Btw, I would use this repo https://github.com/open-mmlab/mmdetection instead of this one now. Luminoth is nice, but it's no longer supported while mmdetection should be better in every single way.

Agreed.

Facebook's Detectron 2 is another good option.

Luminoth is not going to be mantained in the future so if you're starting a new project I'd recommend against using Luminoth.

mbhoshen commented 3 years ago

Okay, try a new environment and install luminoth with tensorflow 1.15. If that doesn't work, create another environment and try pip install luminoth[tf] or pip install luminoth[tf-gpu] as the Readme says. Btw, I would use this repo https://github.com/open-mmlab/mmdetection instead of this one now. Luminoth is nice, but it's no longer supported while mmdetection should be better in every single way.

Agreed.

Facebook's Detectron 2 is another good option.

Luminoth is not going to be mantained in the future so if you're starting a new project I'd recommend against using Luminoth.

Thanks https://github.com/AIanTaylor and https://github.com/AlphonsGwatimba did try that option of installing a new venv and pip install luminoth[tf-gpu] but it ended up the same way So I will have to just move on, perhaps with detectron2, though that means developing in Linux, when my organisation is all Windows, but that is where the knowledge is .. Thanks!