Files
openvision/src/face/common/common.cpp

134 lines
3.0 KiB
C++

#include "../common.h"
#include <math.h>
#ifdef OV_VULKAN
#include "gpu.h"
#endif // OV_VULKAN
void FreeRectVector(RectVector *p) {
if (p->rects != NULL) {
free(p->rects);
p->rects = NULL;
}
}
void FreeFaceInfoVector(FaceInfoVector *p) {
if (p->faces != NULL) {
free(p->faces);
p->faces = NULL;
}
}
void NewFaceInfoVector(FaceInfoVector *v, int num) {
v->length = num;
v->faces = (FaceInfo*)(malloc(num * sizeof(FaceInfo)));
}
void FreeTrackedFaceInfoVector(TrackedFaceInfoVector *p) {
if (p->faces != NULL) {
free(p->faces);
p->faces = NULL;
}
}
namespace ovface {
void qsort_descent_inplace(std::vector<FaceInfo>& objects, int left, int right)
{
int i = left;
int j = right;
float p = objects[(left + right) / 2].score;
while (i <= j)
{
while (objects[i].score > p)
i++;
while (objects[j].score < p)
j--;
if (i <= j)
{
// swap
std::swap(objects[i], objects[j]);
i++;
j--;
}
}
#pragma omp parallel sections
{
#pragma omp section
{
if (left < j) qsort_descent_inplace(objects, left, j);
}
#pragma omp section
{
if (i < right) qsort_descent_inplace(objects, i, right);
}
}
}
void qsort_descent_inplace(std::vector<FaceInfo>& objects)
{
if (objects.empty())
return;
qsort_descent_inplace(objects, 0, objects.size() - 1);
}
void nms_sorted_bboxes(const std::vector<FaceInfo>& objects, std::vector<int>& picked, float nms_threshold)
{
picked.clear();
const int n = objects.size();
std::vector<float> areas(n);
for (int i = 0; i < n; i++)
{
areas[i] = objects[i].rect.area();
}
for (int i = 0; i < n; i++)
{
const FaceInfo& a = objects[i];
int keep = 1;
for (int j = 0; j < (int)picked.size(); j++)
{
const FaceInfo& b = objects[picked[j]];
// intersection over union
float inter_area = InterRectArea(a.rect, b.rect);
float union_area = areas[i] + areas[picked[j]] - inter_area;
// float IoU = inter_area / union_area
if (inter_area / union_area > nms_threshold)
keep = 0;
}
if (keep)
picked.push_back(i);
}
}
float CalculateSimilarity(const std::vector<float>&feature1, const std::vector<float>& feature2, int threads_num) {
if (feature1.size() != feature2.size()) {
return 10003;
}
float inner_product = 0.0f;
float feature_norm1 = 0.0f;
float feature_norm2 = 0.0f;
#ifdef OV_OPENMP
#pragma omp parallel for num_threads(threads_num)
#endif
for(int i = 0; i < kFaceFeatureDim; ++i) {
inner_product += feature1[i] * feature2[i];
feature_norm1 += feature1[i] * feature1[i];
feature_norm2 += feature2[i] * feature2[i];
}
return inner_product / sqrt(feature_norm1) / sqrt(feature_norm2);
}
}