Mojo function
cubic_kernel
cubic_kernel(x: Float32) -> Float32
Cubic interpolation kernel matching PyTorch/torchvision's BICUBIC filter.
This uses the Catmull-Rom variant (Robidoux cubic) with a = -0.75, which is what PyTorch uses in get_cubic_upsample_coefficients. (Source). This also matches OpenCV's interpolateCubic.
Args:
- x (
Float32): Distance from the center point.
Returns:
Float32: Weight contribution based on the distance.
cubic_kernel(x: SIMD[dtype, size]) -> SIMD[dtype, size]
Cubic interpolation kernel matching PyTorch/torchvision's BICUBIC filter.
This uses the Catmull-Rom variant (Robidoux cubic) with a = -0.75, which is what PyTorch uses in get_cubic_upsample_coefficients. (Source). This also matches OpenCV's interpolateCubic.
Args:
- x (
SIMD): Distance from the center point.
Returns:
SIMD: Weight contribution based on the distance.
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