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Are you planning on integrating Googles FindMy Network into this, so to use the same trackers both in Apples and Googles network?
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![Screenshot from 2024-06-10 15-36-24](https://github.com/open-mmlab/OpenPCDet/assets/114443046/d836c88c-c6c2-4463-9d37-1b3539efa852)
The current project contains only training loss and learning rate…
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Hi, Thank you for sharing this work. Currently, the .ipynb file only provides a demo for mesh input. Could you advise on how to proceed when the input is a point cloud? I see from the render_point_clo…
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In the README.md, why did you say that "it's not needed to run the models pruned by the nn_pruning tools"?
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> A PyTorch-Based Framework for Deep Learning in Computer Vision
- **待完善**
- [Image Classification](https://github.com/youansheng/torchcv/tree/master/methods/cls)
- VGG: Very Deep Convolu…
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Thanks for the terrific work and codes!
1. When I run ./benchmark/run_spmm_spatha.sh, I find some shapes are not working. For example, (M=192, K=192, N=3168), which possibly occurs for linear layers …
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Thank you for your excellent work, network design gives me a lot of inspiration.
But there's one thing I never understood. I noticed that the training loss function in the paper only focuses on pixel…
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The output layer in these networks is often a bottleneck, because you have to do a `(batch_size, hidden_dim)` by `(hidden_dim, num_classes)` dense matrix multiplication. It doesn't seem like you'd ge…
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I have an inverse problem where the parameter function is a function of the solution, what is the correct way to implement it?
```julia
using ModelingToolkit, NeuralPDE, Lux, Random, NNlib
using Op…
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I used this code to apply genetic algorithm on other data. I have changed the code accordingly
[train.txt](https://github.com/harvitronix/neural-network-genetic-algorithm/files/4683728/train.txt)
[m…