Hi all, PixInsight newbie, but I just wanted to report that - having removed /Applications/PixInsight/bin/StarNet-pxm.dylib - I have PixInsight working very happily on my new Apple MacBook Air (13 inch) M1 chip, with 16gb memory, i.e. the fanless model. So far this week I've run blink, debayer, star alignment, image integration, STF, crop, DBE, ABE, Background neut, CC, PCC, histogram transformation, multi scale linear transform, and I've had no issues at all. I'm only beginning and not a large stack (just 7 lights), but the MacBook's also running a 4K display, YouTube videos, all my files are on OneDrive (including pixinsight) and are on constant back-up, and I have a word doc open documenting my steps, but as I say it's all good. At start-up the process control tells me its using 8 logical processors, with thread CPU affinity control enabled. It all feels pretty 'zippy', and seems to be working at the same sort of pace as the tutorials I'm watching, if not faster. Just thought that might help. Would be great if the star-net issue might be addressed, because if it were then PI would be fully-functioning 'out of the box' on M1, at least for a newbie/amateur. (But then only those in that category would be using such a machine for this!)
Thanks to PixInsight for all the hard work,
B
PS. PI actually has the M1 to thank for my trialling PI: I was using DSS through Parallels for stacking on my last MacBook Air, but Parallels has not yet released an M1 compatible version, so I had to look elsewhere...
PPS. Happy to trial any amended version of StarNet to see if PI can then load.
PPS. I've attached the PI benchmark test, having just run it in 'real-life conditions', i.e. after 3 hours up-time, 4k display running, OneDrive, outlook and word open etc.