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Is there a layer implemented for Nearest Neighbour Upsampling for 3D Images?
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This error start appearing a day ago when I was testing several strategies.
I didnt changed anything in my codes before this happened.
The backtest doesnt continue and and the chart does not appea…
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The right-click menu of the Viewer allows users to add rulers and comments, change the background color, and toggle the upsampling of pixels. These are useful features and would benefit from being exp…
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I want to thank all the authors for the great work that they have done with this paper.
I am trying to reproduce the Librispeech model training to get a better sense of how the model is training i…
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Hello.
I want no upsampling.
but, I have issues.
config.py
> self.upsampling = [False] + [False]*4 + [False]
`bash launch_gconv_train.sh `
> chair
> 6778 pclouds were loaded. They bel…
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Thank you for your excellent job. I wonder which dataset is "Upsampling 256x256 model (280M parameters, trained for 500K iterations)" is trained on?
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Is it alright to replace nn.upsampling and conv by ConvTransposed2d in upsampling blocks?
If not, what's the difference between them?
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```
What steps will reproduce the problem?
1. Build libwebp 0.4.2 with gcc 4.8 for linux / aarch64
What is the expected output? What do you see instead?
[ 128s] In file included from upsampling_neo…
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Reported by: **[atskler](https://launchpad.net/~atskler)**
Date: 2022-01-25T23:04:18Z
Status: Confirmed
Importance: Wishlist
Launchpad Issue: [lp1959055](https://bugs.launchpad.net/bugs/1959055)
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I am trying to implement a fully convolutional neural network which requires an upsampling step before softmaxout. The small score maps need to be upsampled to the same size as the ground-truth label.…