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[Benchmark] Remove pmap and use mem api (#1309)
* add GPL lisence * add GPL-3.0 lisence * add GPL-3.0 lisence * add GPL-3.0 lisence * support yolov8 * add pybind for yolov8 * add yolov8 readme * add cpp benchmark * add cpu and gpu mem * public part split * add runtime mode * fixed bugs * add cpu_thread_nums * deal with comments * deal with comments * deal with comments * rm useless code * add FASTDEPLOY_DECL * add FASTDEPLOY_DECL * fixed for windows * mv rss to pss * mv rss to pss * Update utils.cc * use thread to collect mem * Add ResourceUsageMonitor * rm useless code * fixed bug * fixed typo * update ResourceUsageMonitor * fixed bug * fixed bug * add note for ResourceUsageMonitor * deal with comments * add macros * deal with comments * deal with comments * deal with comments * re-lint * rm pmap and use mem api * rm pmap and use mem api * add mem api * Add PrintBenchmarkInfo func * Add PrintBenchmarkInfo func * Add PrintBenchmarkInfo func * deal with comments --------- Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
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benchmark/cpp/benchmark_yolov5.cc
Normal file → Executable file
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benchmark/cpp/benchmark_yolov5.cc
Normal file → Executable file
@@ -12,8 +12,8 @@
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "flags.h"
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#include "macros.h"
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#include "flags.h"
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#include "option.h"
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int main(int argc, char* argv[]) {
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@@ -25,6 +25,7 @@ int main(int argc, char* argv[]) {
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PrintUsage();
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return false;
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}
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PrintBenchmarkInfo();
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auto model_yolov5 =
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fastdeploy::vision::detection::YOLOv5(FLAGS_model, "", option);
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fastdeploy::vision::DetectionResult res;
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