Hi,
I'd like to compare the storage memory usage for both quantized and non-quantized model.
I was thinking of comparing the size of the checkpoint file from non-quantized training (using train.py from the original 3DGS paper) and the files that are being loaded from the --load_quant option.
However, since files used from --load_quant option are not the only files for restoring the scene, I cannot compute the exact storage memory required for restoring a scene.
So, I'd like to know if there is any way to compare the storage memory usage for both quantized and non-quantized models.
Thanks.
Hi, I'd like to compare the storage memory usage for both quantized and non-quantized model.
I was thinking of comparing the size of the checkpoint file from non-quantized training (using train.py from the original 3DGS paper) and the files that are being loaded from the --load_quant option. However, since files used from --load_quant option are not the only files for restoring the scene, I cannot compute the exact storage memory required for restoring a scene.
So, I'd like to know if there is any way to compare the storage memory usage for both quantized and non-quantized models. Thanks.