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Hi, congrats on the fantastic work! These results are amazing.
To address the issue of RAM usage with large datasets, is there a technique available to concatenate two outputs in case of overlap?
something like this:
Hi, congrats on the fantastic work! These results are amazing.
To address the issue of RAM usage with large datasets, is there a technique available to concatenate two outputs in case of overlap?
something like this:
`
output1 = inference(pairs1, model, device, batch_size=batch_size)
scene1 = global_aligner(output1, device=device, mode=GlobalAlignerMode.PointCloudOptimizer)
output2 = inference(pairs2, model, device, batch_size=batch_size)
scene2 = global_aligner(output2, device=device, mode=GlobalAlignerMode.PointCloudOptimizer)
`
Then concatenate scene1 and scene2 together?
Thanks again for the wonderful work!
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