CascadeTabNet
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MMDetection doesn't works for Windows or without CUDA. Please suggest a workaround.
Newer versions of MMdetection have a CPU-only installation option, however utilizing that may require training new CascadeTabNet models. Not an immediate option.
You could spin up a cloud computing instance. It may cost a little money. I was able to get MMDetection working with what seems like a modestly priced instance (although my understanding of this space is limited)
Here is my AWS instance configuration:
- Deep Learning AMI (Ubuntu 18.04) Version 43.0
- p2.xlarge (- ECUs, 4 vCPUs, 2.7 GHz, -, 61 GiB memory, EBS only)
You can use this branch of this repo. This repo has pre-trained weights for CPU instances and support MMDetection 2.0.
https://github.com/iiLaurens/CascadeTabNet
@VishalPrasadIITGn It works for windows. if you are facing the issues for mmcv ,let me know got the solution and run in windows
@themohitkumar Have you have able to install mmcv on Windows + CPU machine? If yes, could you help? Thanks!