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avfilter/scale_cuda: add lanczos algorithm
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@ -182,4 +182,7 @@ static inline __device__ float fabsf(float a) { return __builtin_fabsf(a); }
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static inline __device__ float fabs(float a) { return __builtin_fabsf(a); }
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static inline __device__ double fabs(double a) { return __builtin_fabs(a); }
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static inline __device__ float __sinf(float a) { return __nvvm_sin_approx_f(a); }
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static inline __device__ float __cosf(float a) { return __nvvm_cos_approx_f(a); }
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#endif /* COMPAT_CUDA_CUDA_RUNTIME_H */
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@ -31,7 +31,7 @@
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#define LIBAVFILTER_VERSION_MAJOR 7
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#define LIBAVFILTER_VERSION_MINOR 88
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#define LIBAVFILTER_VERSION_MICRO 101
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#define LIBAVFILTER_VERSION_MICRO 102
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#define LIBAVFILTER_VERSION_INT AV_VERSION_INT(LIBAVFILTER_VERSION_MAJOR, \
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@ -59,6 +59,7 @@ enum {
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INTERP_ALGO_NEAREST,
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INTERP_ALGO_BILINEAR,
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INTERP_ALGO_BICUBIC,
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INTERP_ALGO_LANCZOS,
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INTERP_ALGO_COUNT
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};
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@ -293,6 +294,12 @@ static av_cold int cudascale_config_props(AVFilterLink *outlink)
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s->interp_use_linear = 0;
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s->interp_as_integer = 0;
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break;
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case INTERP_ALGO_LANCZOS:
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scaler_ptx = vf_scale_cuda_bicubic_ptx;
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function_infix = "_Lanczos";
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s->interp_use_linear = 0;
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s->interp_as_integer = 0;
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break;
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default:
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av_log(ctx, AV_LOG_ERROR, "Unknown interpolation algorithm\n");
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return AVERROR_BUG;
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@ -601,6 +608,7 @@ static const AVOption options[] = {
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{ "nearest", "nearest neighbour", 0, AV_OPT_TYPE_CONST, { .i64 = INTERP_ALGO_NEAREST }, 0, 0, FLAGS, "interp_algo" },
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{ "bilinear", "bilinear", 0, AV_OPT_TYPE_CONST, { .i64 = INTERP_ALGO_BILINEAR }, 0, 0, FLAGS, "interp_algo" },
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{ "bicubic", "bicubic", 0, AV_OPT_TYPE_CONST, { .i64 = INTERP_ALGO_BICUBIC }, 0, 0, FLAGS, "interp_algo" },
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{ "lanczos", "lanczos", 0, AV_OPT_TYPE_CONST, { .i64 = INTERP_ALGO_LANCZOS }, 0, 0, FLAGS, "interp_algo" },
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{ "passthrough", "Do not process frames at all if parameters match", OFFSET(passthrough), AV_OPT_TYPE_BOOL, { .i64 = 1 }, 0, 1, FLAGS },
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{ "force_original_aspect_ratio", "decrease or increase w/h if necessary to keep the original AR", OFFSET(force_original_aspect_ratio), AV_OPT_TYPE_INT, { .i64 = 0 }, 0, 2, FLAGS, "force_oar" },
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{ "disable", NULL, 0, AV_OPT_TYPE_CONST, {.i64 = 0 }, 0, 0, FLAGS, "force_oar" },
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@ -22,6 +22,30 @@
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#include "cuda/vector_helpers.cuh"
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typedef float4 (*coeffs_function_t)(float);
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__device__ inline float4 lanczos_coeffs(float x)
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{
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const float pi = 3.141592654f;
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float4 res = make_float4(
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pi * (x + 1),
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pi * x,
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pi * (x - 1),
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pi * (x - 2));
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res.x = res.x == 0.0f ? 1.0f :
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__sinf(res.x) * __sinf(res.x / 2.0f) / (res.x * res.x / 2.0f);
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res.y = res.y == 0.0f ? 1.0f :
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__sinf(res.y) * __sinf(res.y / 2.0f) / (res.y * res.y / 2.0f);
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res.z = res.z == 0.0f ? 1.0f :
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__sinf(res.z) * __sinf(res.z / 2.0f) / (res.z * res.z / 2.0f);
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res.w = res.w == 0.0f ? 1.0f :
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__sinf(res.w) * __sinf(res.w / 2.0f) / (res.w * res.w / 2.0f);
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return res / (res.x + res.y + res.z + res.w);
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}
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__device__ inline float4 bicubic_coeffs(float x)
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{
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const float A = -0.75f;
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@ -35,10 +59,8 @@ __device__ inline float4 bicubic_coeffs(float x)
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return res;
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}
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__device__ inline void bicubic_fast_coeffs(float x, float *h0, float *h1, float *s)
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__device__ inline void derived_fast_coeffs(float4 coeffs, float x, float *h0, float *h1, float *s)
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{
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float4 coeffs = bicubic_coeffs(x);
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float g0 = coeffs.x + coeffs.y;
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float g1 = coeffs.z + coeffs.w;
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@ -48,7 +70,7 @@ __device__ inline void bicubic_fast_coeffs(float x, float *h0, float *h1, float
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}
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template<typename V>
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__device__ inline V bicubic_filter(float4 coeffs, V c0, V c1, V c2, V c3)
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__device__ inline V apply_coeffs(float4 coeffs, V c0, V c1, V c2, V c3)
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{
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V res = c0 * coeffs.x;
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res += c1 * coeffs.y;
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@ -59,7 +81,8 @@ __device__ inline V bicubic_filter(float4 coeffs, V c0, V c1, V c2, V c3)
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}
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template<typename T>
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__device__ inline void Subsample_Bicubic(cudaTextureObject_t src_tex,
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__device__ inline void Subsample_Bicubic(coeffs_function_t coeffs_function,
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cudaTextureObject_t src_tex,
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T *dst,
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int dst_width, int dst_height, int dst_pitch,
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int src_width, int src_height,
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@ -81,17 +104,17 @@ __device__ inline void Subsample_Bicubic(cudaTextureObject_t src_tex,
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float factor = bit_depth > 8 ? 0xFFFF : 0xFF;
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float4 coeffsX = bicubic_coeffs(fx);
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float4 coeffsY = bicubic_coeffs(fy);
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float4 coeffsX = coeffs_function(fx);
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float4 coeffsY = coeffs_function(fy);
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#define PIX(x, y) tex2D<floatT>(src_tex, (x), (y))
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dst[yo * dst_pitch + xo] = from_floatN<T, floatT>(
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bicubic_filter<floatT>(coeffsY,
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bicubic_filter<floatT>(coeffsX, PIX(px - 1, py - 1), PIX(px, py - 1), PIX(px + 1, py - 1), PIX(px + 2, py - 1)),
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bicubic_filter<floatT>(coeffsX, PIX(px - 1, py ), PIX(px, py ), PIX(px + 1, py ), PIX(px + 2, py )),
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bicubic_filter<floatT>(coeffsX, PIX(px - 1, py + 1), PIX(px, py + 1), PIX(px + 1, py + 1), PIX(px + 2, py + 1)),
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bicubic_filter<floatT>(coeffsX, PIX(px - 1, py + 2), PIX(px, py + 2), PIX(px + 1, py + 2), PIX(px + 2, py + 2))
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apply_coeffs<floatT>(coeffsY,
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apply_coeffs<floatT>(coeffsX, PIX(px - 1, py - 1), PIX(px, py - 1), PIX(px + 1, py - 1), PIX(px + 2, py - 1)),
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apply_coeffs<floatT>(coeffsX, PIX(px - 1, py ), PIX(px, py ), PIX(px + 1, py ), PIX(px + 2, py )),
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apply_coeffs<floatT>(coeffsX, PIX(px - 1, py + 1), PIX(px, py + 1), PIX(px + 1, py + 1), PIX(px + 2, py + 1)),
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apply_coeffs<floatT>(coeffsX, PIX(px - 1, py + 2), PIX(px, py + 2), PIX(px + 1, py + 2), PIX(px + 2, py + 2))
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) * factor
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);
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@ -101,7 +124,8 @@ __device__ inline void Subsample_Bicubic(cudaTextureObject_t src_tex,
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/* This does not yield correct results. Most likely because of low internal precision in tex2D linear interpolation */
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template<typename T>
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__device__ inline void Subsample_FastBicubic(cudaTextureObject_t src_tex,
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__device__ inline void Subsample_FastBicubic(coeffs_function_t coeffs_function,
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cudaTextureObject_t src_tex,
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T *dst,
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int dst_width, int dst_height, int dst_pitch,
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int src_width, int src_height,
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@ -123,10 +147,13 @@ __device__ inline void Subsample_FastBicubic(cudaTextureObject_t src_tex,
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float factor = bit_depth > 8 ? 0xFFFF : 0xFF;
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float4 coeffsX = coeffs_function(fx);
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float4 coeffsY = coeffs_function(fy);
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float h0x, h1x, sx;
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float h0y, h1y, sy;
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bicubic_fast_coeffs(fx, &h0x, &h1x, &sx);
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bicubic_fast_coeffs(fy, &h0y, &h1y, &sy);
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derived_fast_coeffs(coeffsX, fx, &h0x, &h1x, &sx);
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derived_fast_coeffs(coeffsY, fy, &h0y, &h1y, &sy);
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#define PIX(x, y) tex2D<floatT>(src_tex, (x), (y))
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@ -157,7 +184,7 @@ extern "C" {
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int src_width, int src_height, \
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int bit_depth) \
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{ \
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Subsample_Bicubic<T>(src_tex, dst, \
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Subsample_Bicubic<T>(&bicubic_coeffs, src_tex, dst, \
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dst_width, dst_height, dst_pitch, \
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src_width, src_height, \
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bit_depth); \
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@ -171,4 +198,26 @@ BICUBIC_KERNEL(ushort)
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BICUBIC_KERNEL(ushort2)
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BICUBIC_KERNEL(ushort4)
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#define LANCZOS_KERNEL(T) \
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__global__ void Subsample_Lanczos_ ## T(cudaTextureObject_t src_tex, \
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T *dst, \
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int dst_width, int dst_height, int dst_pitch, \
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int src_width, int src_height, \
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int bit_depth) \
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{ \
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Subsample_Bicubic<T>(&lanczos_coeffs, src_tex, dst, \
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dst_width, dst_height, dst_pitch, \
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src_width, src_height, \
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bit_depth); \
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}
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LANCZOS_KERNEL(uchar)
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LANCZOS_KERNEL(uchar2)
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LANCZOS_KERNEL(uchar4)
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LANCZOS_KERNEL(ushort)
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LANCZOS_KERNEL(ushort2)
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LANCZOS_KERNEL(ushort4)
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}
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