Tempo di processo estremamente lungo

[cvfder43]

How did you install WebODM (docker, installer, etc.)?

installer (a pagamento)
What's your browser and operating system? (Copy/paste the output of https://www.whatismybrowser.com/)

firefox, Window 11 home
What is the problem?
Buongiorno, con la nuova versione di Webodm il tempo per l'elaborazione di un set di 350 foto con le seguenti opzioni "auto-boundary:true, cameras:{"dji m3t 2048 1536 brown 0.6666":{"projection_type":"brown","width":2048,"height":1536,"focal_x":0.6008161565001133,"focal_y":0.6008161565001133,"c_x":-0.0014563531888890304,"c_y":-0.0018262585364729141,"k1":0.05062610870306775,"k2":-0.14594767558104177,"p1":0.00036421642825358125,"p2":-0.0003153012597007504,"k3":0.04732148798348372}}, orthophoto-resolution:2, radiometric-calibration:camera, split:50, split-overlap:75
ha già superato le 10 ore! Sembra non procedere. (Allego il file del processo). Sto usando un HP Pavilion 15-EH con Ryzen 7 7730U con Radeon Graphics e 16 Gb di ram. Ho usato anche la funzione"split" per elaborare in piccoli gruppi, ma non pare avere ealcun effetto sul tempo di elaborazione. Cosa sbaglio? potete aiutarmi per favore?

How can we reproduce this? (What steps trigger the problem? What parameters are you using for processing? Include screenshots. If you are having issues processing a dataset, you must include a copy of your dataset uploaded on Dropbox, Google Drive or https://dronedb.app/)
[Type answer here]
"auto-boundary:true, cameras:{"dji m3t 2048 1536 brown 0.6666":{"projection_type":"brown","width":2048,"height":1536,"focal_x":0.6008161565001133,"focal_y":0.6008161565001133,"c_x":-0.0014563531888890304,"c_y":-0.0018262585364729141,"k1":0.05062610870306775,"k2":-0.14594767558104177,"p1":0.00036421642825358125,"p2":-0.0003153012597007504,"k3":0.04732148798348372}}, orthophoto-resolution:2, radiometric-calibration:camera, split:50, split-overlap:75

console.txt

[github-actions]

Thanks for the report, but it looks like you didn't include a copy of your dataset for us to reproduce this issue? Please make sure to follow our issue guidelines 🙏

p.s. I'm just an automated script, not a human being.