[RKNN2] Fix bugs (#851)

* 修复picodet格式

* * 修正错误文档
* 修复rknpu2 backend后端的部分错误
* 更新pphumanseg example格式

* * 更新pphumanseg example格式

* * 更新picodet example格式

* * 更新scrfd example格式

* * 更新ppseg rknpu2 python example中的错误

* * 修复代码格式问题

* * 修复代码格式问题

* * 修复代码格式问题

* * 修复代码格式问题

* * 修复代码格式问题

* * 修复代码格式问题

Co-authored-by: Jason <jiangjiajun@baidu.com>
This commit is contained in:
Zheng_Bicheng
2022-12-12 15:37:31 +08:00
committed by GitHub
parent af4c28d4ae
commit 188dcedc02
14 changed files with 309 additions and 261 deletions

View File

@@ -12,7 +12,10 @@
// See the License for the specific language governing permissions and
// limitations under the License.
#include "fastdeploy/vision/detection/contrib/rknpu2/utils.h"
float clamp(float val, int min, int max) {
namespace fastdeploy {
namespace vision {
namespace detection {
float Clamp(float val, int min, int max) {
return val > min ? (val < max ? val : max) : min;
}
@@ -35,59 +38,56 @@ float DeqntAffineToF32(int8_t qnt, int32_t zp, float scale) {
return ((float)qnt - (float)zp) * scale;
}
static float CalculateOverlap(float xmin0, float ymin0, float xmax0, float ymax0, float xmin1, float ymin1, float xmax1, float ymax1)
{
static float CalculateOverlap(float xmin0, float ymin0, float xmax0,
float ymax0, float xmin1, float ymin1,
float xmax1, float ymax1) {
float w = fmax(0.f, fmin(xmax0, xmax1) - fmax(xmin0, xmin1) + 1.0);
float h = fmax(0.f, fmin(ymax0, ymax1) - fmax(ymin0, ymin1) + 1.0);
float i = w * h;
float u = (xmax0 - xmin0 + 1.0) * (ymax0 - ymin0 + 1.0) + (xmax1 - xmin1 + 1.0) * (ymax1 - ymin1 + 1.0) - i;
float u = (xmax0 - xmin0 + 1.0) * (ymax0 - ymin0 + 1.0) +
(xmax1 - xmin1 + 1.0) * (ymax1 - ymin1 + 1.0) - i;
return u <= 0.f ? 0.f : (i / u);
}
int NMS(int validCount,
std::vector<float> &outputLocations,
std::vector<int> &class_id,
std::vector<int> &order,
float threshold,
bool class_agnostic)
{
int NMS(int valid_count, std::vector<float>& output_locations,
std::vector<int>& class_id, std::vector<int>& order, float threshold,
bool class_agnostic) {
// printf("class_agnostic: %d\n", class_agnostic);
for (int i = 0; i < validCount; ++i)
{
if (order[i] == -1)
{
for (int i = 0; i < valid_count; ++i) {
if (order[i] == -1) {
continue;
}
int n = order[i];
for (int j = i + 1; j < validCount; ++j)
{
for (int j = i + 1; j < valid_count; ++j) {
int m = order[j];
if (m == -1)
{
if (m == -1) {
continue;
}
if (!class_agnostic && class_id[n] != class_id[m]){
if (!class_agnostic && class_id[n] != class_id[m]) {
continue;
}
float xmin0 = outputLocations[n * 4 + 0];
float ymin0 = outputLocations[n * 4 + 1];
float xmax0 = outputLocations[n * 4 + 0] + outputLocations[n * 4 + 2];
float ymax0 = outputLocations[n * 4 + 1] + outputLocations[n * 4 + 3];
float xmin0 = output_locations[n * 4 + 0];
float ymin0 = output_locations[n * 4 + 1];
float xmax0 = output_locations[n * 4 + 0] + output_locations[n * 4 + 2];
float ymax0 = output_locations[n * 4 + 1] + output_locations[n * 4 + 3];
float xmin1 = outputLocations[m * 4 + 0];
float ymin1 = outputLocations[m * 4 + 1];
float xmax1 = outputLocations[m * 4 + 0] + outputLocations[m * 4 + 2];
float ymax1 = outputLocations[m * 4 + 1] + outputLocations[m * 4 + 3];
float xmin1 = output_locations[m * 4 + 0];
float ymin1 = output_locations[m * 4 + 1];
float xmax1 = output_locations[m * 4 + 0] + output_locations[m * 4 + 2];
float ymax1 = output_locations[m * 4 + 1] + output_locations[m * 4 + 3];
float iou = CalculateOverlap(xmin0, ymin0, xmax0, ymax0, xmin1, ymin1, xmax1, ymax1);
float iou = CalculateOverlap(xmin0, ymin0, xmax0, ymax0, xmin1, ymin1,
xmax1, ymax1);
if (iou > threshold)
{
if (iou > threshold) {
order[j] = -1;
}
}
}
return 0;
}
}
} // namespace detection
} // namespace vision
} // namespace fastdeploy