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Follow up optimisations for #2827
- Improve sync flow. Since #2692 contract deployment has been non blocking. The blob deployment process first deploys blocking blob txs then a non blocking create …
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Greetings!
I want to do parameter inference using chi2 loss.
In the original powerbox library one can set a as an argument (get_variance) which, if True, also returns the variance estimation of …
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Hi Jonathan:
When I use the distribution generated by kernel density estimation for sampling, it takes a lot of time. And I use the distribution generated by sklearn's KDE for sampling, which is ve…
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There is a discrepancy between measured/reported filesystem `free` space and actual usable `available` space on `ext4` if running as a regular user.
Seaweedfs will report a certain size as disk `Free…
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Thank you so much for the work and also including downloadable checkpoints.
Could you give some background how those models were trained since you used two datasets in you paper. Is it trained on M…
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Currently, Space Calibrator naiively adds any pose from a tracker into a sample unless it's not tracking at all or the device is turned off. This fails as sometimes, in the case of lighthouse tracked …
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Hello, thanks for the code.
I tried running it on a COLMAP-based dataset, but I am encountering an issue where the training performance degrades as training progresses. Could you please let me know …
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Bug description
When running model training using the dlc_pytorch branch, I got the following error:
…
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This is step 2 in the obstacle avoidance pipeline, after #122
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It seems that the hugging face models for metric depth are not producing depth values.
https://huggingface.co/depth-anything/Depth-Anything-V2-Metric-Indoor-Base-hf
If I download the raw model weig…