#include #include #include #include #define H 5 #define W 500 float kx[3]={0.25,0.5,0.25}; float ky[3]={0.25,0.5,0.25}; float32x4_t kx_0={kx[0],kx[0],kx[0],kx[0]}; float32x4_t kx_1={kx[1],kx[1],kx[1],kx[1]}; float32x4_t kx_2={kx[2],kx[2],kx[2],kx[2]}; float32x4_t ky_0={ky[0],ky[0],ky[0],ky[0]}; float32x4_t ky_1={ky[1],ky[1],ky[1],ky[1]}; float32x4_t ky_2={ky[2],ky[2],ky[2],ky[2]}; void applySeparableGaussianBlur(float src[H][W], float dst[H][W], int h, int w, float kx[3], float ky[3]) { float buf[H][W-1]={0}; for(int k = 0; k< h; ++k) { for (int j = 1; j < w - 1;j+=4) { float32x4_t left =vld1q_f32(&src[k][j-1]); float32x4_t mid =vld1q_f32(&src[k][j]); float32x4_t right =vld1q_f32(&src[k][j+1]); float32x4_t result =vmulq_f32(left, kx_0); result=vmlaq_f32(result,mid,kx_1); result=vmlaq_f32(result,right,kx_2); vst1q_f32(&buf[k][j],result); } } //开始进行可分离卷积 for (int i = 2; i < h ; i++) { // 计算当前行的行内卷积 for (int j = 1; j < w - 1; j+=4) { float32x4_t left1 =vld1q_f32(&src[i][j-1]); float32x4_t mid1 =vld1q_f32(&src[i][j]); float32x4_t right1 =vld1q_f32(&src[i][j+1]); float32x4_t result1 =vmulq_f32(left1, ky_0); result1=vmlaq_f32(result1,mid1,ky_1); result1=vmlaq_f32(result1,right1,ky_2); vst1q_f32(&dst[i-1][j],result1); } } } int main() { float inputImage[H][W]={0}; float dst[H][W]={0}; float a[H][W]={0}; for(int i=0;i