Comments (3)
Please refer to the video branch, which loads image generation for video generation training.
For your problem, it seems like a pytorch env problem or error in the downloaded file. Please make sure you can run the inference before you start.
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Thank you for your suggention.
I find another resolution of 272×736 is also supported, how can i change the code?
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Yes, we do not include the implementation here. You can change the resolution through config, but you have to change the code for BEV map encoder, to have the same embedding size as the image latent (similar logic as ControlNet). Other parts should be fine.
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Related Issues (20)
- Bug in nuscenes_t_dataset HOT 1
- Your Loss is NaN HOT 9
- What's the meaning of several parametes in default.yaml? HOT 1
- Adding objects HOT 1
- version of some packpages HOT 2
- Code for Quantitative Evaluation (Image Branch) HOT 1
- The training time for the entire nuscenes dataset is too long HOT 2
- Machine and time query request HOT 1
- Problems about training on one mechine 8 A100 HOT 7
- Issues related to FID calculation and BEVfusion HOT 7
- How long train 61 frames? HOT 5
- Can 61 frames pretrained weight be released? HOT 3
- Running on local URL: http://0.0.0.0:7860 To create a public link, set `share=True` in `launch()`. HOT 2
- docker images for magicdrive HOT 1
- ERROR: Could not build wheels for xformers, which is required to install pyproject.toml-based projects HOT 2
- Question about initialize class_tokens HOT 1
- AttributeError: 'NoneType' object has no attribute 'update' HOT 5
- cannot import name 'visualize_camera' from 'mmdet3d.core.utils'
- No velocity on *** in sample: ***
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