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Hi, thank you for this amazing work !! I was trying out your torchgeo_demo.ipynb on my local machine. I only changed the 'max_epochs' parameter and ran the rest of the code blocks as it is.
I let t…
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Thank you for providing the good work!
I'm implementing lsd using the code in this repository in my pytorch training pipeline. I found that computing lsd on cpu takes much more time than training (…
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Every time when I want to train a scene, it will have a error in epoch 20000 as shown as below:
Optimizing output/kitchen_24_SparseGS
Output folder: output/kitchen_24_SparseGS [14/09 04:53:08]
…
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Hi, I'm training tiny-yolov2 on one TITAN Xp with `--gpu 0.9` and `--batch 64`, and found the training speed is very slow, say 8500 steps / 15 hrs. CPU utility keeps ~400%, but GPU utility is mostly 0…
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### Issue Type
Documentation Bug
### Source
binary
### Keras Version
keras_cv 0.9.0
### Custom Code
No
### OS Platform and Distribution
macOS, Windows, Ubuntu
### Python version
3.12.4
###…
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When I'm reading the pretraining code, the comment says `drop_remainder` should be `true` when it is training and should be false when evaluating, but the code confuses me a lot. I am not sure whethe…
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As the title. When I train on the CPU, it works fine.
But training on GPU produces nan after the first block.
Please advise.
Thanks.
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When I try to train any network larger than the default size on GPU, I pretty quickly run into the error:
cuda runtime error (77) : an illegal memory access was encountered at /tmp/luarocks_cutorch-sc…
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I created a console project in Visual Studio 2022 version 17.8.4 and added a machine learning to this console project. Then I selected the text classification option in ML Builder.
I get my data se…
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Dear Xiaoyang,
Thanks for your excellent work. Recently, I have been trying to use this code base to reproduce some instance segmentation algorithms. So, I followed the data augmentation methods of…