// 演示与对拍工具:读一张原始像素转储,推理并打印框。 // // 单张: ./film_predict <宽> <高> <通道> [conf] [overlap] // 批量: ./film_predict --manifest <清单> [conf] [overlap] // // 输入是连续的 HWC uint8 缓冲(用 scripts/dump_raw.py 从图片生成)。产线里通常直接 // 拿相机帧的指针,不需要这一步。 // // 清单每行 `路径 宽 高 通道`,模型只加载一次——逐张起进程的话加载耗时会盖过推理。 #include "film_detector.hpp" #include #include #include #include namespace { bool read_pixels(const std::string& path, size_t expected, std::vector& out) { std::ifstream file(path, std::ios::binary); if (!file) { std::cerr << "打不开 " << path << "\n"; return false; } out.assign(std::istreambuf_iterator(file), std::istreambuf_iterator()); if (out.size() != expected) { std::cerr << path << " 的缓冲是 " << out.size() << " 字节,应为 " << expected << "\n"; return false; } return true; } void run_one(const film::Detector& detector, const film::ImageView& image, float conf, int overlap) { const auto boxes = (image.width == detector.input_size() && image.height == detector.input_size()) ? detector.infer_tile(image, conf) : detector.infer(image, conf, 0.5f, overlap); std::printf("%zu\n", boxes.size()); for (const auto& b : boxes) { std::printf("%d %.6f %.6f %.6f %.6f %.4f\n", b.class_id, b.x1, b.y1, b.x2, b.y2, b.score); } } } // namespace int main(int argc, char** argv) { if (argc < 4) { std::cerr << "用法:\n " << argv[0] << " <宽> <高> <通道>" << " [conf] [overlap]\n " << argv[0] << " --manifest <清单> [conf] [overlap]\n"; return 1; } const std::string model_path = argv[1]; const bool batch = std::string(argv[2]) == "--manifest"; const float conf = batch ? (argc > 4 ? std::stof(argv[4]) : 0.25f) : (argc > 6 ? std::stof(argv[6]) : 0.25f); const int overlap = batch ? (argc > 5 ? std::stoi(argv[5]) : 32) : (argc > 7 ? std::stoi(argv[7]) : 32); film::Detector detector(model_path); std::vector pixels; if (batch) { std::ifstream manifest(argv[3]); if (!manifest) { std::cerr << "打不开清单 " << argv[3] << "\n"; return 1; } std::string path; int width = 0, height = 0, channels = 0; while (manifest >> path >> width >> height >> channels) { if (!read_pixels(path, static_cast(width) * height * channels, pixels)) { return 1; } run_one(detector, film::ImageView{pixels.data(), width, height, channels}, conf, overlap); } return 0; } if (argc < 6) { std::cerr << "单张模式需要 宽 高 通道\n"; return 1; } const int width = std::stoi(argv[3]), height = std::stoi(argv[4]); const int channels = std::stoi(argv[5]); if (!read_pixels(argv[2], static_cast(width) * height * channels, pixels)) return 1; run_one(detector, film::ImageView{pixels.data(), width, height, channels}, conf, overlap); return 0; }