mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-04 16:22:57 +08:00
d3845eb4e1
* avoid mem copy for cpp benchmark * set CMAKE_BUILD_TYPE to Release * Add SegmentationDiff * change pointer to reference * fixed bug * cast uint8 to int32 * Add diff compare for OCR * Add diff compare for OCR * rm ppocr pipeline * Add yolov5 diff compare * Add yolov5 diff compare * deal with comments * deal with comments * fixed bug * fixed bug
59 lines
2.3 KiB
C++
59 lines
2.3 KiB
C++
// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
|
|
//
|
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
|
// you may not use this file except in compliance with the License.
|
|
// You may obtain a copy of the License at
|
|
//
|
|
// http://www.apache.org/licenses/LICENSE-2.0
|
|
//
|
|
// Unless required by applicable law or agreed to in writing, software
|
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
// See the License for the specific language governing permissions and
|
|
// limitations under the License.
|
|
|
|
#include "flags.h"
|
|
#include "macros.h"
|
|
#include "option.h"
|
|
|
|
DEFINE_string(rec_label_file, "", "Path of Recognization label file of PPOCR.");
|
|
|
|
int main(int argc, char* argv[]) {
|
|
#if defined(ENABLE_BENCHMARK) && defined(ENABLE_VISION)
|
|
// Initialization
|
|
auto option = fastdeploy::RuntimeOption();
|
|
if (!CreateRuntimeOption(&option, argc, argv, true)) {
|
|
return -1;
|
|
}
|
|
auto im = cv::imread(FLAGS_image);
|
|
// Recognition Model
|
|
auto rec_model_file = FLAGS_model + sep + "inference.pdmodel";
|
|
auto rec_params_file = FLAGS_model + sep + "inference.pdiparams";
|
|
if (FLAGS_backend == "paddle_trt") {
|
|
option.paddle_infer_option.collect_trt_shape = true;
|
|
}
|
|
if (FLAGS_backend == "paddle_trt" || FLAGS_backend == "trt") {
|
|
option.trt_option.SetShape("x", {1, 3, 48, 10}, {4, 3, 48, 320},
|
|
{8, 3, 48, 2304});
|
|
}
|
|
auto model_ppocr_rec = fastdeploy::vision::ocr::Recognizer(
|
|
rec_model_file, rec_params_file, FLAGS_rec_label_file, option);
|
|
std::string text;
|
|
float rec_score;
|
|
// Run once at least
|
|
model_ppocr_rec.Predict(im, &text, &rec_score);
|
|
// 1. Test result diff
|
|
std::cout << "=============== Test result diff =================\n";
|
|
std::string text_expect = "上海斯格威铂尔大酒店";
|
|
float res_score_expect = 0.993308;
|
|
// Calculate diff between two results.
|
|
auto ppocr_rec_text_diff = text.compare(text_expect);
|
|
auto ppocr_rec_score_diff = rec_score - res_score_expect;
|
|
std::cout << "PPOCR Rec text diff: " << ppocr_rec_text_diff << std::endl;
|
|
std::cout << "PPOCR Rec score diff: " << abs(ppocr_rec_score_diff)
|
|
<< std::endl;
|
|
BENCHMARK_MODEL(model_ppocr_rec,
|
|
model_ppocr_rec.Predict(im, &text, &rec_score));
|
|
#endif
|
|
return 0;
|
|
} |