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Hi @josedolz , I'm wondering, would 1000 be too much for the number of samples? E.g. for a dataset of 5 subjects, 200 samples would be extracted from each subject in a subEpoch, but there would be ma…
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Hello, I have trained the vnet using the promise dataset, without modifying any part of the network using spatial_window_size = (64, 64, 64) . However, when I do inference over the trained model, the …
amh28 updated
6 years ago
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Contents of testing script:
```sh
#!/bin/bash
```
Scripts (regardless of actual content) with a `/bin/bash` shebang are seemingly crashing randomly.
```
{"app_name":"iSH","app_cohort":"2|da…
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hi .
i train my data on gpu Iteration over 100 thousand times.
But the result is very bad.
Even a very result is just a full black image.
i can't solve this problem,i need you help , thank you!
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In the appended file I've written down some ideas on getting throughput way past the GB/s region that @sk1p and I had discussed. What do you think?
[Ideas for scalable architecture.docx](https://gith…
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Kitty randomly crashes on the current macOS, recently released (10.14.4).
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Hi
Dear Mr. Konstantinos,
thanks for your great work and support.I have a question related to the DSC metric.
I used your software available at https://github.com/Kamnitsask/deepmedic. In this rega…
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Hi there,
I'm having a very weird problem dealing with a two-class segmentation problem: during training, the loss (generalized Dice) on both training and validation set looks reasonable (see figur…
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Please include this information:
- What Grafana version are you using? v4.6.2
- What datasource are you using? Graphite v0.9.15
- What OS are you running grafana on? CentOS 6
- What did you do? No…
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Hi all,
I am trying to train my own images with crfasrnn. My classes are background and people.
But my training does not converge, the loss values do not decrease.
And the prediction output of my netw…