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[detection / classification] Train upcoming detection architecture & orientation models #1459
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Is anyone working on this ? I would love to contribute in any way possible. This is something I look forward to learn as well :) |
Hi @SkaarFacee :) |
Oh understood. Is there any other similar issue I can work on instead? If not can you suggest some issues ? |
Hey @SkaarFacee sure :) #1375 Should be super easy and fast to solve :) Or if you want to work on something bigger and more deep learning specific: |
Hey, I'll take a look at them. Thanks again |
Hi @SkaarFacee and @felixdittrich92, |
Hey @TomekPro yep we finished some fixes and experiments today and will spin up the final runs now so we will publish the checkpoints one by one in the next weeks (1 model takes ~ 1week) |
Great, thanks! Those will be on pytorch or TF? |
We start with pytorch first :) |
@felixdittrich92 any update on this? Thanks! |
Yep after crashing two machines it is running now i think we can publish on monday the first checkpoint 😅 |
Yeah, we got a bit (too) unlucky this time 😅 Sorry for the delay, model checkpoint will be released soon |
@TomekPro First model available (including reparameterization by default - if used with the |
🚀 The feature
FAST - Detection model
PyTorch:
fast_tiny
fast_small
fast_base
TF:
fast_tiny
fast_small
fast_base
Orientation models:
Train-Skripts:
https://github.com/mindee/doctr/blob/main/references/classification/train_pytorch_orientation.py
https://github.com/mindee/doctr/blob/main/references/classification/train_tensorflow_orientation.py
TF & PT Crop: (with the recognition dataset)
mobilenet_v3_small_orientation
(running)TF & PT Page: (with the detection dataset)
mobilenet_v3_small_page_orientation
(related [orientation] Add page orientation interface & integration #1460)The text was updated successfully, but these errors were encountered: