- Reimplemented dense mask IoU/IoS computation using matrix multiplication on flattened masks instead of constructing a full `(N, M, H, W)` overlap tensor
- Significantly reduced memory usage and improved performance for large mask sets while preserving identical IoU/IoS results
- Added automatic precision handling for large masks to keep intersection and area counts numerically accurate
- Improved memory-limit handling and chunking logic to reflect actual matmul memory usage
- Added validation that compared mask sets share the same spatial dimensions
- Added validation for invalid mask tensor ranks and input shapes
- Added safe handling for empty-mask inputs
- Added warnings when inputs exceed the minimum memory footprint that chunking cannot reduce
- Fixed large-mask area calculations that could produce incorrect IoU values
- Suppressed spurious runtime warnings during valid matrix-multiplication computations
- Added regression coverage for correctness, chunking, rectangular matrices, empty inputs, shape mismatches, large-mask precision, and memory-limit edge cases
---------
Co-authored-by: jirka <6035284+Borda@users.noreply.github.com>
Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
11a586c133