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Hi,
I have trained three ssd models, using vgg16_reduced, mobilenet_512 and mobilenet_608. After that I am running inference on a video, using batches of a single frame and comparing the speed of t…
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In the README you mention the intention to compare Temporal Fusion Transformers to the SeriesNet. What did you find in terms of training time and accuracy on the model?
While I am familiar with Wa…
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### Prerequisite
- [X] I have searched [the existing and past issues](https://github.com/open-mmlab/mmyolo/issues) but cannot get the expected help.
- [X] I have read the [FAQ documentation](https://…
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_This is a copy of a presentation for MIOpen team I held a couple of years ago, when we've introduced and implemented the Solver/Solution architecture. It does not cover the recent additions like GetW…
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I noticed that doing a simple 2D convolution using Jax's scipy backend is significantly slower than using scipy itself:
```python
import numpy as np
import jax.scipy.signal
import scipy.signal
…
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i try to use group convolution to speed up the operation，this is my cfg file，this can train ，but When I tested, there was no output。hope to get everyone's help
I added a group to each set of convol…
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_Note:_ machine learning is not magic. It can’t predict a random sequence, and you have to be very careful of your own biases when training models.
For example, twitter and reddit data correlates w…
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Has anybody tried to bring LZ to the web?
There is this new WebAssembly thing. We could take some C library that implements all the needed ML operations (convolutions, etc.), feed it the weights, u…
klueq updated
4 years ago
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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