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examples/resnet/cpp/src/main.cpp
Executable file
63
examples/resnet/cpp/src/main.cpp
Executable file
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#include <iostream>
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#include <vector>
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#include <string>
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#include <filesystem>
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#include <opencv2/opencv.hpp>
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#include "nn_sdk.h"
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#include "postprocess.h"
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namespace fs = std::filesystem;
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int main(int argc, char** argv) {
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if (argc < 4) {
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std::cout << "Usage: " << argv[0] << " <model.adla> <image_dir> <labels.txt>\n";
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return 0;
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}
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auto labels = load_labels(argv[3]);
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aml_config cfg{};
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cfg.typeSize = sizeof(cfg);
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cfg.modelType = ADLA_LOADABLE;
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cfg.nbgType = NN_ADLA_FILE;
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cfg.path = argv[1];
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void* ctx = aml_module_create(&cfg);
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if (!ctx) return -1;
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std::vector<float> input_buffer(kInputW * kInputH * 3);
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for (auto& it : fs::directory_iterator(argv[2])) {
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cv::Mat img = cv::imread(it.path().string());
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if (img.empty()) continue;
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std::cout << "============================================================" << std::endl;
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std::cout << "Processing: " << it.path().filename() << std::endl;
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preprocess(img, input_buffer.data());
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nn_input in{};
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in.typeSize = sizeof(in);
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in.input_type = BINARY_RAW_DATA;
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in.input = (unsigned char*)input_buffer.data();
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in.size = input_buffer.size() * sizeof(float);
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in.info.valid = 1;
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in.info.input_format = AML_INPUT_MODEL_NHWC;
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in.info.input_data_type = AML_INPUT_FP32;
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aml_module_input_set(ctx, &in);
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aml_output_config_t outcfg{};
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outcfg.typeSize = sizeof(outcfg);
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outcfg.format = AML_OUTDATA_FLOAT32;
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nn_output* out = (nn_output*)aml_module_output_get(ctx, outcfg);
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if (out && out->num > 0) {
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float* data = (float*)out->out[0].buf;
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int size = out->out[0].size / sizeof(float);
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postprocess_topk(data, size, labels, 5);
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}
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std::cout << "============================================================\n" << std::endl;
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}
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aml_module_destroy(ctx);
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return 0;
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}
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