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General / Metashape 1.6 out of core method very slow with photos from certain camera
« on: January 22, 2020, 12:34:39 AM »
Hi,
I was using RC last few years, but as they totally fucked up their pricing model, I'm really thinking about going back to Metashape (plase don't make the same mistake like they did).
I've seen that since 1.6, metashape is now using similar Out-of-core method of reconstructing model like RC, which is great (and you should really make much more advertising about it, because this is the most important feature you have ever added). Great work!
So I wanted to try it, but first I was very disappointed by the speed of the reconstruction. I took dataset with around 70 photos taken with Sony A6000 and only depthmap computation took about 40 minutes (on high detail). That's basically no diffrence between out of core and older method without using ooc.
But then I tried different dataset with 115 photos from differrent cameras (Canon EOS 600D) and it was much faster - only about 5 minutes for creating depthmaps.
So finally I took third dataset of 70 photos taken with Sony A7R and it was very fast again - only about 10 minutes, which is pretty surprising, because A7R has bigger resolution than A6000 (32 Mpix versus 24 Mpix)
So for better clarity, here's recapitulation:
Sony A6000 (24Mpix) - 40 minutes
Sony A7R (32 Mpix) - 10 minutes
Canon EOS 600D (18 Mpix) - 5 minutes
Could you please take look at this dataset taken with A6000 and try to find, why is it so slow? It's not only case of this dataset, I tried even different one from same camera and it was really slow either, so it looks like everything from this camera will be slow.
Link for dataset download: https://mega.nz/#!asREzCCT!zN9Rry5aqbK0A-BdNf1xyNcPx1YLQzhfbateT8zEuUU
Thanks!
I was using RC last few years, but as they totally fucked up their pricing model, I'm really thinking about going back to Metashape (plase don't make the same mistake like they did).
I've seen that since 1.6, metashape is now using similar Out-of-core method of reconstructing model like RC, which is great (and you should really make much more advertising about it, because this is the most important feature you have ever added). Great work!
So I wanted to try it, but first I was very disappointed by the speed of the reconstruction. I took dataset with around 70 photos taken with Sony A6000 and only depthmap computation took about 40 minutes (on high detail). That's basically no diffrence between out of core and older method without using ooc.
But then I tried different dataset with 115 photos from differrent cameras (Canon EOS 600D) and it was much faster - only about 5 minutes for creating depthmaps.
So finally I took third dataset of 70 photos taken with Sony A7R and it was very fast again - only about 10 minutes, which is pretty surprising, because A7R has bigger resolution than A6000 (32 Mpix versus 24 Mpix)
So for better clarity, here's recapitulation:
Sony A6000 (24Mpix) - 40 minutes
Sony A7R (32 Mpix) - 10 minutes
Canon EOS 600D (18 Mpix) - 5 minutes
Could you please take look at this dataset taken with A6000 and try to find, why is it so slow? It's not only case of this dataset, I tried even different one from same camera and it was really slow either, so it looks like everything from this camera will be slow.
Link for dataset download: https://mega.nz/#!asREzCCT!zN9Rry5aqbK0A-BdNf1xyNcPx1YLQzhfbateT8zEuUU
Thanks!
