Hi.
Im hoping you can point out what I need to upgrade on my computer.
I have started the build dense cloud process on a job which contains 356 pictures/cameras of 4928x3264 uncompressed TIF's. All pictures is shot by our drone.
Dense cloud settings are High quality, and agressive depth filtering.
I've tried twich and both times the job has failed due to not enough memory, but at different intervals.
In console it says:
[GPU] estimating 652x1883x128 disparity using 652x942x32f tiles, offset 0
timings: rectify: 0.118 disparity: 0.258 borders: 0.023 filter: 0.039 fill: 0
[GPU] estimating 813x2251x160 disparity using 813x751x32f tiles, offset 0
timings: rectify: 0.651 disparity: 0.742 borders: 0.066 filter: 0.066 fill: 0
Error: bad allocation
finished depth reconstruction in 2140.63 seconds
Device 1 performance: 362.593 million samples/sec (GeForce GTX 770)
Device 2 performance: 363.933 million samples/sec (GeForce GTX 770)
Total performance: 726.526 million samples/sec
Error: bad allocation
Finished processing in 2304.95 sec (exit code -1)
Some key specs about my computer
Intel I7 4770K
16GB 1600Mhz DDR3 RAM
2GB Geforce GTX770
Windows 7 Pro
My questions are:
Is there any settings in Photoscan that can remove this problem?
I have done a similar job with success, although with fewer pictures (around 200), but according to the table found on your Tips and tricks section 16GB should be more than enough when using Hight field.
Is it the RAM that needs upgrading or the GPU?
Should I go for a GTX770 SLI config or just make my boss buy TITAN (or maybe SLI Titan)
BR
Marius Skancke