83 lines
3.4 KiB
C++
83 lines
3.4 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 <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* value) const { yolo_runtime_destroy(value); }
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};
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struct ResultDeleter {
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void operator()(yolo_result_set_t* value) const { yolo_result_set_release(value); }
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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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const char* geometry_name = value_after(argc, argv, "--seg-geometry");
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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 "
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"--json result.json [--seg-geometry rect|circle]\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_error_info_v1_t error{};
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error.struct_size = sizeof(error);
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error.version = YOLO_ERROR_INFO_VERSION;
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yolo_runtime_t* raw_runtime = nullptr;
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if (yolo_runtime_create(config, &raw_runtime, &error) != YOLO_STATUS_OK || !raw_runtime) {
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std::cerr << "Create failed: " << error.message << '\n';
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return 5;
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}
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std::unique_ptr<yolo_runtime_t, RuntimeDeleter> runtime(raw_runtime);
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yolo_runtime_info_v1_t info{};
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info.struct_size = sizeof(info);
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info.version = YOLO_RUNTIME_INFO_VERSION;
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if (yolo_runtime_get_info(runtime.get(), &info) != YOLO_STATUS_OK) return 6;
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yolo_image_view_v1_t image{};
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image.struct_size = sizeof(image);
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image.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_infer_options_v1_t options{};
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options.struct_size = sizeof(options);
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options.version = YOLO_INFER_OPTIONS_VERSION;
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options.seg_geometry_mode = info.task == YOLO_TASK_SEG
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? (geometry_name && std::string_view(geometry_name) == "circle"
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? YOLO_SEG_GEOMETRY_MIN_ENCLOSING_CIRCLE : YOLO_SEG_GEOMETRY_MIN_AREA_RECT)
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: YOLO_SEG_GEOMETRY_NONE;
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yolo_result_set_t* raw_results = nullptr;
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error = {};
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error.struct_size = sizeof(error);
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error.version = YOLO_ERROR_INFO_VERSION;
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const auto status =
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yolo_runtime_infer_image(runtime.get(), &image, &options, &raw_results, &error);
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if (status != YOLO_STATUS_OK || !raw_results) {
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std::cerr << "Inference failed: " << error.message << '\n';
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return 7;
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}
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std::unique_ptr<yolo_result_set_t, ResultDeleter> results(raw_results);
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uint32_t count = 0;
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yolo_result_set_get_count(results.get(), &count);
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std::cout << "task=" << info.task << " results=" << count << '\n';
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return write_result_json(json_path, config, results.get(), info.task) == 0 ? 0 : 8;
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}
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