Comments (17)
Thanks for your interest in our work. We do have a plan to release training and evaluation code in the future. However, the schedule is not clear yet. Please stay tuned for future updates.
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I've started refactoring and cleaning the code (in my part-time πͺ) and will release it as soon as it's ready and tested.
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@markkua @toshas @nandometzger, could you please provide a status update on whether you plan to release the training code? If not, it's okay if you don't want to provide a reason, I'm just curious if it's in the plans at all.
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Now that the paper is accepted by CVPR2024. looking forward to the training codeοΌ
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This is really a fantastic project, thank you for your effort! On the other hand, I'm also curious to know if you will provide methods for training or fine-tuning this model?
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Training code has been released.
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Me too! Thanks!
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That would be awesome.
from marigold.
Looking forward to the training code!
from marigold.
Same ! An approximative schedule would be much appreciated :)
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Same
from marigold.
Super excited! I can't wait:)
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I can't imagine how excited I would be if I saw the training code you released. I look forward to seeing your training code released soon
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Really very looking forward to the training code! Thank you very much!!
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Also waiting excitedly for this
from marigold.
Please consider releasing the training code π
from marigold.
I'm working on it. coming soon
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Related Issues (20)
- Validation Error
- Fine-tune the base model
- What does the consistent value of 721.5377 represent in eigen_test_files_with_gt.txt? HOT 1
- Questions about LCM model training HOT 2
- noob questions about code understanding. HOT 3
- Multi-GPU Training HOT 1
- Clarification Needed: Training and Inference Pipeline HOT 4
- Any reason for not using vae.std to generate RGB latent? HOT 1
- do you plan to release better and more accurate models for this original marigold? HOT 1
- The purpose of using v_prediction as the target? HOT 1
- where can I get the "output/marigold_base/checkpoint/latest" HOT 1
- The demo 3D looks ok but not match with the predicted depth image HOT 1
- How to organize the vkitti data HOT 1
- train the model on my custom dataset HOT 1
- Unusual slow training speed HOT 8
- About some problems that arise during training HOT 9
- issue with reproducing results in the paper HOT 1
- Is it possible to train the model by feeding it rgb images + 8-bit relative depth maps ? HOT 1
- Muti-GPUs training
- Data cannot be read during training HOT 1
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