Comments (9)
This was happening for me both on the latest release and on a fresh install from the latest master commit.
This was NOT on one of the examples - I substituted my own TIFs in. I suppose thinking about it, it could be an issue with the bit-depth of the files used maybe? I'll test this and get back to you.
from n2v.
Hello, I could reproduce this with your data and a new installation following the instructions.
Environment details after following the instructions:
conda_list_env.txt
Here is a renamed notebook file with the error trace:
01_training_rename.txt
Should the problem lie on my side, please let me know.
Edit: The workaround above does the trick
from n2v.
I've solved this issue by downgrading keras from to 2.3.1 to 2.2.5. I will do some more debugging and update master branch as needed
from n2v.
new version released
from n2v.
My tests with the new version are successful. Thank you.
from n2v.
Hello @weinberz,
Thank you for reporting this issue. Unfortunately we are not able to reproduce it.
Does the issue come up if you run one of our examples or is it a completely different run? Are you currently working on the latest master or on the latest release?
Thank you for your help.
from n2v.
I get the exact same error with my own TIFs
from n2v.
What are the dimensions of the TIFs you are using?
Would it be possible to get such a TIF or maybe even a minimal example showcasing the bug?
Hope we can figure out where this issue is coming from! 🤞
from n2v.
Will be pushing updated version 0.1.9 to pip. No code changes, just updated README and failsafe setup.py
from n2v.
Related Issues (20)
- Model export does not work for N2V2 HOT 1
- Add 3D support for N2V2
- M1 Mac: Graph execution error on 3D data HOT 4
- error in predicting model HOT 2
- Multi-channel tiff (YXC) file denoising problem HOT 7
- Config should not need X HOT 2
- N2V Fiji crashes HOT 2
- train HOT 2
- How to run through the code HOT 2
- tensor dimension input error when running 3D N2V HOT 7
- Updating N2V to N2V2 settings HOT 4
- Wrong shape in training data generation
- Peculiar behavior of N2V2 prediction HOT 6
- How to employ multiple GPUs during training HOT 1
- Poor performance HOT 5
- the filepath provided must end in `.weights.h5` HOT 2
- N2V for large datasets HOT 3
- save_tiff_imagej_compatible('pred_train.tif', pred_train, axes='YX') HOT 3
- "weights_best.h5" is not working HOT 4
- Running N2V prediction on a GPU cluster fails
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from n2v.