68 lines
2.8 KiB
C++
68 lines
2.8 KiB
C++
#include "bmp_loader.h"
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#include "result_json.h"
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#include "yolo_runtime.h"
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#include <cstdlib>
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#include <iostream>
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#include <memory>
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#include <string_view>
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static const char* value_after(int argc, char** argv, std::string_view option) {
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for (int index = 1; index + 1 < argc; ++index)
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if (argv[index] == option) return argv[index + 1];
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return nullptr;
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}
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struct RuntimeDeleter {
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void operator()(yolo_runtime_t* runtime) const { yolo_runtime_destroy(runtime); }
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};
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int main(int argc, char** argv) {
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const char* config = value_after(argc, argv, "--config");
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const char* image_path = value_after(argc, argv, "--image");
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const char* json_path = value_after(argc, argv, "--json");
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if (!config || !image_path || !json_path) {
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std::cerr << "Usage: yolo_cpp_example --config model.yaml --image sample.bmp --json result.json\n";
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return 2;
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}
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if (yolo_runtime_get_abi_version() != YOLO_RUNTIME_ABI_VERSION) return 3;
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unsigned char* raw_pixels = nullptr;
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int width = 0, height = 0;
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if (load_bmp_rgb(image_path, &raw_pixels, &width, &height) != 0) return 4;
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std::unique_ptr<unsigned char, decltype(&free_bmp_rgb)> pixels(raw_pixels, free_bmp_rgb);
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yolo_runtime_t* raw_runtime = nullptr;
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if (yolo_runtime_create(config, &raw_runtime) != YOLO_STATUS_OK || !raw_runtime) return 5;
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std::unique_ptr<yolo_runtime_t, RuntimeDeleter> runtime(raw_runtime);
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if ((yolo_runtime_get_capabilities(runtime.get()) & YOLO_CAPABILITY_INFER_IMAGE) == 0) return 6;
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yolo_image_view_t image{};
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image.struct_size = sizeof(image);
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image.abi_version = YOLO_IMAGE_VIEW_ABI_VERSION;
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image.data = pixels.get();
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image.width = width;
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image.height = height;
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image.row_stride_bytes = width * 3;
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image.pixel_format = YOLO_PIXEL_FORMAT_RGB888;
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yolo_result_list_t results{};
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const int status = yolo_runtime_infer_image(runtime.get(), &image, &results);
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if (status != YOLO_STATUS_OK) {
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std::cerr << "Inference failed: " << yolo_runtime_last_error(runtime.get()) << '\n';
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return 7;
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}
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std::cout << "results=" << results.count
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<< " preprocess=" << results.performance.preprocess_ms
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<< "ms inference=" << results.performance.inference_ms
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<< "ms postprocess=" << results.performance.postprocess_ms
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<< "ms total=" << results.performance.total_ms << "ms\n";
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for (int index = 0; index < results.count; ++index) {
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const auto& result = results.results[index];
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std::cout << '[' << index << "] class=" << result.class_id
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<< " label=" << result.label << " score=" << result.score
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<< " angle=" << result.bbox.angle << '\n';
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}
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return write_result_json(json_path, config, &results) == 0 ? 0 : 8;
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}
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