That does make sense Shadow, and not a bad idea at all. Although it would require a good amount of strict control to ensure set variables are consistent between the shoots. - More of a additional test to see how the difference that image quality makes. It could easily become quite in depth fast and ties into what i was suggesting with the test scene. And yes Chris also UAV flights can produce great results.
Jpg vs Raw
Resolution differences
Quantity of Images
Various ISO levels
Various Focal Lengths
Sensor Sizes
Bayer vs Foveon
Optical Stabilisation on/off
… the list goes on
These are just some of the things we know make a difference, but to quantify them would be really nice.
I have been making progress. - On the technical side. Start with the least fun and trickiest bits.
I now have a script/batch file that loads up any set of images, goes through all the motions and spits out the following below as a txt file. No other apps required, just click and go.
I think the output is *mostly relevant. - Have I missed anything obvious ?
I couldn’t interrogate the hardware deep as I wanted without external apps. - However I think if that can be avoided it will be far better.
Start time 1:07:29.43
Alignment Time 12 seconds
Reconstruction Time 48 seconds
Simplification Time 6 Seconds
Texturing Time 124 seconds
End Time 1:10:45.11
NumberOfProcessors
1
Name=Intel(R) Core™ i7-6700K CPU @ 4.00GHz
NumberOfCores=4
NumberOfLogicalProcessors=8
GPUName
NVIDIA GeForce GTX 1080 Ti
TotalPhysicalMemory
34272317440
Capacity PartNumber Speed
8589934592 CMK16GX4M2B3200C16 3200
8589934592 CMK16GX4M2B3200C16 3200
8589934592 CMK16GX4M2B3200C16 3200
8589934592 CMK16GX4M2B3200C16 3200
Model
Samsung SSD 850 EVO 500GB
Size 500105249280
Windows Version
10.0.16299
Pagefile Peak Usage
40
Next stage is to parse the data onto a easily uploadable online *database*, which can then nicely display the results to us all.
Hopefully next week, we should have something to test out.