Comments (4)
Hi, actually, I have not seen that part necessary and I didn't implemented. BUt you may implement that part. Right now I have no TensorFlow and I cannot help you.
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Thank You..
I'm try to implement muti gpus
and
I trained using dexined tf2 with custom data set. the results are good
I retrain the model with new data. using the trained dexined tf2 model..
the results are poor compared to the existing dexined tf2 model
does dexined tf2 support retraining ..
from dexined.
Thank You.. I'm try to implement muti gpus
and
I trained using dexined tf2 with custom data set. the results are good I retrain the model with new data. using the trained dexined tf2 model.. the results are poor compared to the existing dexined tf2 model
does dexined tf2 support retraining ..
Hi,
so the first procedure is, you used pretrained weights from dexined Biped and this is good.
In the second procedure, I am afraid that the poor results depends on your data, because you trained dexined from the scratch.
And yes, it should gives you good results id the data used for training is curated, with good annotations. Maybe can you show me a sample o your data?
Cheers,
Xavier
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first procedure is Training with Custom Data Set.. Results are good... saved that model
Second Procedure is Retraining using the first procedure Model.. Those results are bad
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Related Issues (20)
- about evaluation HOT 2
- Works once but stops working after testing own image HOT 3
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- Size of the CLASSIC images
- About args.double_img HOT 5
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