Comments (2)
Hi Dimitris,
Can you let me know how large your array is and how fast it is executing (and what you are expecting) how much memory it is using (and what you are expecting)? Unfortunately, even if the final array fits in 255, usually at least 10x the number of provisional labels are assigned during the calculation and so using uint8 is rarely possible except for fairly simple images.
Will
from connected-components-3d.
Hi Will,
Indeed 256 is unlikely to be useful. But asking for the 3000 largest objects might be the case.
My volumes, semantic segmentation binary results, might vary from as small as 1kx1kx1k voxels to 10k x 10k x 4k voxels with most common in the middle of these sizes.
More important for me and possible others is to understand the maximum expected memory requirement of the algorithm for a given volume size.
Currently I am using an overlapping workaround to allow processing volumes that do not fit memory.
I would like to be able to use something like:
z_chunk_size = min( int( max_memory_footprint / (z_size * (dest_cube.dtype.itemsize + source_cube.dtype.itemsize)) ), z_size, )
to estimate the z direction cube chunk size that will fit my memory availability defined in the parameter max_memory_footprint
.
Understanding what one has to put in the denominator (z_size * (dest_cube.dtype.itemsize + source_cube.dtype.itemsize))
will be a great help.
Best,
Dimitris
from connected-components-3d.
Related Issues (20)
- dust sugnature HOT 1
- Massive memory Leak HOT 7
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- Cannot find reference 'dust' in 'cc3d.py' HOT 2
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- Does cc3d also work with memmory-mapped numpy arrays and array-like data? HOT 14
- cc3d.statistics["bounding_boxes"] are wrong HOT 1
- largest_k fails for transposed arrays HOT 6
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- Statistics output HOT 7
- Question on the output of contacts HOT 9
- Periodic Boundary Conditions HOT 4
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- Add a better error for type support. HOT 4
- Any way to make this GPU Compatible? HOT 6
- voxel_connectivity_graph and contacts can not be applied in 2D label HOT 5
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from connected-components-3d.