Comments (2)
Hi. I've just started trying N2V and got the same problem.
Did you find any solution by any chance ?
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Hi @YaswinTeja, very sorry about never answering this issue! Somehow it completely slipped my attention. Thank you for bringing it up again @rdemets.
In the posted snipped I can't see the training of the model and also not how the model was loaded after training.
Wild guess: If you use model = N2V(config, basedir='...', name='...')
then a new N2V instance is created which is not trained. If you want to load the trained model you have to omit config
and load the model like this: model = N2V(None, basedir='...', name='...')
.
Let me know if this helps.
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Related Issues (20)
- Problem with config HOT 5
- denoising 1D data HOT 2
- Issue with creating the network model from StructN2V HOT 2
- Unable to get sample notebooks to run HOT 5
- GPU training doesn't work? HOT 5
- Fiji error when runnnig n2v-sem demo model with bioimage.io HOT 3
- Tensorflow-gpu version 2.4.1 is not compatile with Windows HOT 12
- 'ReduceLROnPlateau' object has no attribute '_implements_predict_batch_hooks' HOT 2
- making patch size smaller in the given 3D example notebook lead to nan loss HOT 2
- Examples fails due to auth login data HOT 4
- Prediction: allocation exceeds 10% of system memory
- kernel dies during prediction after "allocation of system memory exceeds 10%"
- 2D RGB data not accessible anymore: 502 Bad Gateway HOT 5
- Issue with XLA devices HOT 1
- Issue when training HOT 1
- The direction of the 3D data test result is inconsistent with the original data HOT 4
- Check license / copyright holders HOT 1
- Verbosity management
- Model export does not work for N2V2 HOT 1
- Add 3D support for N2V2
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