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Hi author, a question for you, if I want to make my own dataset for training, and the depth map uses a projection of the point cloud, how do I get the true value of the depth map (dense depth map), or…
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### System Info
TensorRT Model Optimizer: 0.15.1
TensortRT-LLM version: 0.14.0.dev2024100100
Python version
OS: Ubuntu 22.04
CPU Arch: x86_63
Driver version: 555.42.02
CUDA Version:12.5
### Who can…
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Tried to run rl with new gym wrapper code and it gives out the following error
`expected dense_input to have shape (1, 10) but got array with shape (1, 2)`
this is the code `import asyncio
from…
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I don't know whether it's premature to do so, but since we're thinking about how Flux interacts with AD, I tried out a few very simple cases. Exactly the same cases as in https://github.com/EnzymeAD/E…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Environment
```markdown
- Milvus version:
milvus==2.3.8
milvus-lite==2.4.10
milvus-model==0.2.5
pymilvus==…
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I defined the following DANN models. The DANN model starts performing well, then the accuracy drops (under 0.1 for some cases) for both unadapted and adapted models. Can you explain this behavior and …
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Add a data type `:vec`, for indexing dense numeric vectors and search based on similarity.
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This is essentially equivalent to natural gradient descent https://arxiv.org/abs/1703.00209
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I am trying to finetune (or train from scratch as an alternative) a Sam2 model with a custom training and eval set.
For simplicity (and to check that my model can actually overfit and, thus, work …
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When the map is really large and centered on a dense city (like Paris or London Marathon), we could avoid drawing each tiny street, to lighten the filesize.
What do you think @JulesL2 ?