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Hi,
I'm researching capsule neural networks for brain image segmentation. For my project, I should do 3D convolutions on tensors that have 6 dimensions:
input size: (N, P, C_in, D_in, H_in, W_in…
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Dear All,
So I have some basic experience with frcnn and 3D CNN classifier. Wanted to try to create 3D frcnn code. Was able to modify the code for the purpose quite a bit. Having a hard time to mod…
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I am proposing to be able to include a 3D deformable convolution within keras-cv
## Background
A recent paper has used deformable convolutions as a key building block in order to have a CNN be sta…
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Dear lucidrains,
Thank you so much for this amazing code. I've tried to adapt the ViT to my 3D Brain CT images but unfortunately the training did not work as wished. I would be very greatful if you …
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Can you provide pretrained model on waymo dataset and some guides for running the inference code? Although there is README file for using the sparse conv, i still stuck in runing the inference code. …
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How to use the raw RGB instead of the grayscaled image ?
I have some troubles with the neural networks shape which doesn't match the observation shape (84,84,3) ?
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TensorFlow Graphics was [first released](https://blog.tensorflow.org/2019/05/introducing-tensorflow-graphics_9.html) at Google I/O in 2019, and since, the library grew a lot, both in terms of core com…
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## 🚀 Feature
I suggest torch teams to add 'Sparse Convolution' as default nn module.
## Motivation
I want to use Sparse Convolution without external libraries like 'SPConv', 'Mincowski Engine',…
demul updated
3 years ago
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Grouped convolution is supported well in `pytorch`'s convolution layers / ops. If possible, it would a great to add that ability to `torchsparse`.
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Hi Lin, thanks for your work for implementing the GCNetwork.
I try to run test.py to test the driving dataset. With the original image size the memory will run out and show ResourceExhaustedError. …