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Tuesday, September 13, 2016
EdgeDetector 3D: greatly reduced the memory requirements.
On BPD_N01 test dataset (from BiCal sample set), the Max Used memory was reduced about x10 times from 750MB down to 73 MB. This was done by introducing a specialized simplified function for most common scenarios. This simplified function avoids generation of the Gradient Map which is extremely memory consuming.
Also, this function is applicable throughout FireVoxel where only the Edge Magnitude map or Binary Edge are sufficient.
On BPD_N01 test dataset (from BiCal sample set), the Max Used memory was reduced about x10 times from 750MB down to 73 MB. This was done by introducing a specialized simplified function for most common scenarios. This simplified function avoids generation of the Gradient Map which is extremely memory consuming.
Also, this function is applicable throughout FireVoxel where only the Edge Magnitude map or Binary Edge are sufficient.
EdgeDetector 3D: greatly reduced the memory requirements.
On BPD_N01 test dataset (from BiCal sample set), the Max Used memory was reduced about x10 times from 750MB down to 73 MB. This was done by introducing a specialized simplified function for most common scenarios. This simplified function avoids generation of the Gradien Map which is extremely memory consuming.
On BPD_N01 test dataset (from BiCal sample set), the Max Used memory was reduced about x10 times from 750MB down to 73 MB. This was done by introducing a specialized simplified function for most common scenarios. This simplified function avoids generation of the Gradien Map which is extremely memory consuming.
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