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[Benchmark] Add ClassifyDiff to compare ClassifyResult diff (#1381)

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* 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

* fixed enable_paddle_to_trt

* add log for paddle_trt

* support ppcls benchmark

* use new trt option api

* update benchmark info

* simplify benchmark.cc

* simplify benchmark.cc

* deal with comments

* Add ppseg && ppocr benchmark

* add OCR rec img

* add ocr benchmark

* fixed trt shape

* add trt shape

* resolve conflict

* add ENABLE_BENCHMARK define

* Add ClassifyDiff

* Add Resize for ClassifyResult

* deal with comments

---------

Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
This commit is contained in:
WJJ1995
2023-02-21 18:01:13 +08:00
committed by GitHub
parent 18e33bae5c
commit 721e6efb81
8 changed files with 150 additions and 26 deletions
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26
benchmark/cpp/benchmark_ppcls.cc
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@@ -16,6 +16,9 @@
#include "macros.h"
#include "option.h"
namespace vision = fastdeploy::vision;
namespace benchmark = fastdeploy::benchmark;
int main(int argc, char* argv[]) {
#if defined(ENABLE_BENCHMARK) && defined(ENABLE_VISION)
// Initialization
@@ -31,9 +34,28 @@ int main(int argc, char* argv[]) {
auto model_file = FLAGS_model + sep + "inference.pdmodel";
auto params_file = FLAGS_model + sep + "inference.pdiparams";
auto config_file = FLAGS_model + sep + "inference_cls.yaml";
auto model_ppcls = fastdeploy::vision::classification::PaddleClasModel(
auto model_ppcls = vision::classification::PaddleClasModel(
model_file, params_file, config_file, option);
fastdeploy::vision::ClassifyResult res;
vision::ClassifyResult res;
// Run once at least
model_ppcls.Predict(im, &res);
// 1. Test result diff
std::cout << "=============== Test result diff =================\n";
// Save result to -> disk.
std::string cls_result_path = "ppcls_result.txt";
benchmark::ResultManager::SaveClassifyResult(res, cls_result_path);
// Load result from <- disk.
vision::ClassifyResult res_loaded;
benchmark::ResultManager::LoadClassifyResult(&res_loaded, cls_result_path);
// Calculate diff between two results.
auto cls_diff =
benchmark::ResultManager::CalculateDiffStatis(&res, &res_loaded);
std::cout << "Labels diff: mean=" << cls_diff.labels.mean
<< ", max=" << cls_diff.labels.max
<< ", min=" << cls_diff.labels.min << std::endl;
std::cout << "Scores diff: mean=" << cls_diff.scores.mean
<< ", max=" << cls_diff.scores.max
<< ", min=" << cls_diff.scores.min << std::endl;
BENCHMARK_MODEL(model_ppcls, model_ppcls.Predict(im, &res))
#endif
return 0;