计算图像的积分图。
| 示意图像 |
|---|
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算子的原理为累积从原点到点(X, Y)矩形中的像素值,将其作为点(X,Y)处的像素值,计算公式如下:
sum(X,Y)=x<X,y<Y∑src(x,y)
在神经网络中,积分图的常见应用场景为获取一块区域的像素值积分,计算公式如下:
x1⩽x<xx,y1⩽y<y2∑image(x,y)=sum(x2,y2)−sum(x1,y2)−sum(x2,y1)+sum(x1,y1)
int32_t hbVPIntegral(hbUCPTaskHandle_t *taskHandle,
hbVPImage *dstImg,
hbVPImage const *srcImg);
详细接口信息请查看 hbVPIntegral 。
// Include the header
#include "hobot/hb_ucp.h"
#include "hobot/vp/hb_vp.h"
#include "hobot/vp/hb_vp_integral.h"
// init Image, allocate memory for image data
hbUCPSysMem src_mem;
hbUCPMallocCached(&src_mem, src_stride * src_height, 0);
hbVPImage src_img{HB_VP_IMAGE_FORMAT_Y,
HB_VP_IMAGE_TYPE_U8C1,
src_width,
src_height,
src_stride,
src_mem.virAddr,
src_mem.phyAddr,
nullptr,
0,
0};
hbUCPSysMem dst_mem;
hbUCPMallocCached(&dst_mem, dst_stride * dst_height, 0);
hbVPImage dst_img{HB_VP_IMAGE_FORMAT_Y,
HB_VP_IMAGE_TYPE_S32C1,
dst_width,
dst_height,
dst_stride,
dst_mem.virAddr,
dst_mem.phyAddr,
nullptr,
0,
0};
// init task handle and schedule param
hbUCPTaskHandle_t task_handle{nullptr};
hbUCPSchedParam sched_param;
HB_UCP_INITIALIZE_SCHED_PARAM(&sched_param);
sched_param.backend = HB_UCP_DSP_CORE_0;
// create task
hbVPIntegral(&task_handle, &dst_img, &src_img);
// submit task
hbUCPSubmitTask(task_handle, &sched_param);
// wait for task done
hbUCPWaitTaskDone(task_handle, 0);
// release task handle
hbUCPReleaseTask(task_handle);
// release memory
hbUCPFree(&src_mem);
hbUCPFree(&dst_mem);
