Comments (3)
markkua
commented on August 15, 2024
The processed Hypersim dataset is much smaller. You can download and process it part-by-part (need some modifications to the preprocessing script though).
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water221
commented on August 15, 2024
The processed Hypersim dataset is much smaller. You can download and process it part-by-part (need some modifications to the preprocessing script though).
Can you tell me how many Gs there are in the processed Hypersim dataset, and can you provide a modified preprocessing script? I am a beginner in this area and I would appreciate it if you could provide it
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markkua
commented on August 15, 2024
The processed training set would be around 95GB.
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Related Issues (20)
- 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
- 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 1
- noob questions about code understanding. HOT 3
- [HuggingFace] is it possible to fine-tune Marigold using the AutoTrainer on my custom dataset ?
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