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* [RKNPU2]support rknpu2 ClasModel #957 * [RKNPU2]support rknpu2 ClasModel #957 * [RKNPU2]support rknpu2 add Resnet50_vd example #957 * [RKNPU2]support rknpu2 add Resnet50_vd example #957 * [RKNPU2]support rknpu2, improve doc #957 * [RKNPU2]support rknpu2, improve doc #957 * [RKNPU2]support rknpu2, improve doc #957 * [RKNPU2]support rknpu2, improve doc #957 * [RKNPU2]support rknpu2, improve doc #957 * [RKNPU2]support rknpu2, improve doc #957 * [RKNPU2]support rknpu2, improve doc #957
59 lines
1.9 KiB
C++
Executable File
59 lines
1.9 KiB
C++
Executable File
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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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 "fastdeploy/vision.h"
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void RKNPU2Infer(const std::string& model_dir, const std::string& image_file) {
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auto model_file = model_dir + "/ResNet50_vd_infer_rk3588.rknn";
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auto params_file = "";
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auto config_file = model_dir + "/inference_cls.yaml";
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auto option = fastdeploy::RuntimeOption();
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option.UseRKNPU2();
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auto format = fastdeploy::ModelFormat::RKNN;
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auto model = fastdeploy::vision::classification::PaddleClasModel(
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model_file, params_file, config_file,option,format);
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if (!model.Initialized()) {
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std::cerr << "Failed to initialize." << std::endl;
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return;
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}
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model.GetPreprocessor().DisablePermute();
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fastdeploy::TimeCounter tc;
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tc.Start();
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auto im = cv::imread(image_file);
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fastdeploy::vision::ClassifyResult res;
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if (!model.Predict(im, &res)) {
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std::cerr << "Failed to predict." << std::endl;
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return;
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}
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// print res
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std::cout << res.Str() << std::endl;
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tc.End();
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tc.PrintInfo("PPClas in RKNPU2");
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}
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int main(int argc, char* argv[]) {
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if (argc < 3) {
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std::cout
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<< "Usage: rknpu_test path/to/model_dir path/to/image run_option, "
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"e.g ./rknpu_test ./ppclas_model_dir ./images/ILSVRC2012_val_00000010.jpeg"
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<< std::endl;
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return -1;
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}
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RKNPU2Infer(argv[1], argv[2]);
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return 0;
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}
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