ZF/insightface
1
0
Fork 0
mirror of https://github.com/deepinsight/insightface.git synced 2026-05-02 03:30:16 +00:00
Code Issues Packages Projects Releases Wiki Activity

Update

Browse Source
This commit is contained in:
tunm
2025-05-22 16:07:26 +08:00
parent efb5639ec6
commit 7e25e4e482
168 changed files with 6434 additions and 2527 deletions
Download Patch File Download Diff File Expand all files Collapse all files

24
cpp-package/inspireface/cpp/test/unit/api/test_benchmark.cpp
View File

@@ -34,7 +34,7 @@ TEST_CASE("test_BenchmarkFaceDetect", "[benchmark]") {
ret = CVImageToImageStream(image, imgHandle);
REQUIRE(ret == HSUCCEED);
inspirecv::TimeSpend timeSpend("Face Detect@160");
inspire::SpendTimer timeSpend("Face Detect@160");
for (size_t i = 0; i < loop; i++) {
timeSpend.Start();
// Extract basic face information from photos
@@ -68,7 +68,7 @@ TEST_CASE("test_BenchmarkFaceDetect", "[benchmark]") {
ret = CVImageToImageStream(image, imgHandle);
REQUIRE(ret == HSUCCEED);
inspirecv::TimeSpend timeSpend("Face Detect@320");
inspire::SpendTimer timeSpend("Face Detect@320");
for (size_t i = 0; i < loop; i++) {
timeSpend.Start();
// Extract basic face information from photos
@@ -102,7 +102,7 @@ TEST_CASE("test_BenchmarkFaceDetect", "[benchmark]") {
ret = CVImageToImageStream(image, imgHandle);
REQUIRE(ret == HSUCCEED);
inspirecv::TimeSpend timeSpend("Face Detect@640");
inspire::SpendTimer timeSpend("Face Detect@640");
for (size_t i = 0; i < loop; i++) {
timeSpend.Start();
// Extract basic face information from photos
@@ -141,7 +141,7 @@ TEST_CASE("test_BenchmarkFaceTrack", "[benchmark]") {
ret = CVImageToImageStream(image, imgHandle);
REQUIRE(ret == HSUCCEED);
inspirecv::TimeSpend timeSpend("Face Track");
inspire::SpendTimer timeSpend("Face Track");
for (size_t i = 0; i < loop; i++) {
timeSpend.Start();
// Extract basic face information from photos
@@ -186,7 +186,7 @@ TEST_CASE("test_BenchmarkFaceExtractWithAlign", "[benchmark]") {
ret = HFExecuteFaceTrack(session, imgHandle, &multipleFaceData);
REQUIRE(ret == HSUCCEED);
inspirecv::TimeSpend timeSpend("Face Extract With Align");
inspire::SpendTimer timeSpend("Face Extract With Align");
for (size_t i = 0; i < loop; i++) {
timeSpend.Start();
// Extract basic face information from photos
@@ -257,7 +257,7 @@ TEST_CASE("test_BenchmarkFaceComparison", "[benchmark]") {
featureZyQuery.size = featureNum;
REQUIRE(ret == HSUCCEED);
inspirecv::TimeSpend timeSpend("Face Comparison");
inspire::SpendTimer timeSpend("Face Comparison");
for (int i = 0; i < loop; ++i) {
timeSpend.Start();
HFloat compRes;
@@ -333,7 +333,7 @@ TEST_CASE("test_BenchmarkFaceHubSearchPersistence", "[benchmark]") {
searchFeature.data = searchFeat.data();
HFloat confidence = 0.0f;
HFFaceFeatureIdentity mostSimilar = {0};
inspirecv::TimeSpend timeSpend("Face Search 1k@Persistence");
inspire::SpendTimer timeSpend("Face Search 1k@Persistence");
for (size_t i = 0; i < loop; i++) {
timeSpend.Start();
ret = HFFeatureHubFaceSearch(searchFeature, &confidence, &mostSimilar);
@@ -401,7 +401,7 @@ TEST_CASE("test_BenchmarkFaceHubSearchPersistence", "[benchmark]") {
searchFeature.data = searchFeat.data();
HFloat confidence = 0.0f;
HFFaceFeatureIdentity mostSimilar = {0};
inspirecv::TimeSpend timeSpend("Face Search 5k@Persistence");
inspire::SpendTimer timeSpend("Face Search 5k@Persistence");
for (size_t i = 0; i < loop; i++) {
timeSpend.Start();
ret = HFFeatureHubFaceSearch(searchFeature, &confidence, &mostSimilar);
@@ -469,7 +469,7 @@ TEST_CASE("test_BenchmarkFaceHubSearchPersistence", "[benchmark]") {
searchFeature.data = searchFeat.data();
HFloat confidence = 0.0f;
HFFaceFeatureIdentity mostSimilar = {0};
inspirecv::TimeSpend timeSpend("Face Search 10k@Persistence");
inspire::SpendTimer timeSpend("Face Search 10k@Persistence");
for (size_t i = 0; i < loop; i++) {
timeSpend.Start();
ret = HFFeatureHubFaceSearch(searchFeature, &confidence, &mostSimilar);
@@ -534,7 +534,7 @@ TEST_CASE("test_BenchmarkFaceHubSearchMemory", "[benchmark]") {
searchFeature.data = searchFeat.data();
HFloat confidence = 0.0f;
HFFaceFeatureIdentity mostSimilar = {0};
inspirecv::TimeSpend timeSpend("Face Search 1k@Memory");
inspire::SpendTimer timeSpend("Face Search 1k@Memory");
for (size_t i = 0; i < loop; i++) {
timeSpend.Start();
ret = HFFeatureHubFaceSearch(searchFeature, &confidence, &mostSimilar);
@@ -592,7 +592,7 @@ TEST_CASE("test_BenchmarkFaceHubSearchMemory", "[benchmark]") {
searchFeature.data = searchFeat.data();
HFloat confidence = 0.0f;
HFFaceFeatureIdentity mostSimilar = {0};
inspirecv::TimeSpend timeSpend("Face Search 5k@Memory");
inspire::SpendTimer timeSpend("Face Search 5k@Memory");
for (size_t i = 0; i < loop; i++) {
timeSpend.Start();
ret = HFFeatureHubFaceSearch(searchFeature, &confidence, &mostSimilar);
@@ -651,7 +651,7 @@ TEST_CASE("test_BenchmarkFaceHubSearchMemory", "[benchmark]") {
searchFeature.data = searchFeat.data();
HFloat confidence = 0.0f;
HFFaceFeatureIdentity mostSimilar = {0};
inspirecv::TimeSpend timeSpend("Face Search 10k@Memory");
inspire::SpendTimer timeSpend("Face Search 10k@Memory");
for (size_t i = 0; i < loop; i++) {
timeSpend.Start();
ret = HFFeatureHubFaceSearch(searchFeature, &confidence, &mostSimilar);