ANSCORE/tests/ANSODEngine-UnitTest/ANSSAM3-UnitTest.cpp

// Separate translation unit for ANSSAM3 (TensorRT) tests.
// TensorRT/CUDA headers conflict with Windows SDK (ACCESS_MASK ambiguous symbol)
// when included in the same .cpp as ONNX Runtime headers, so we isolate them here.

#include "ANSSAM3.h"
#include <iostream>
#include <chrono>
#include <opencv2/opencv.hpp>

int SAM3TRT_UnitTest()
{
    std::string videoFile = "E:\\Programs\\DemoAssets\\Videos\\video_20.mp4";
    std::string modelFolder = "C:\\Projects\\ANSVIS\\Models\\ANS_SAM_v3.0";

    ANSCENTER::ANSSAM3 infHandle;
    ANSCENTER::ModelConfig modelConfig;
    modelConfig.modelConfThreshold = 0.5f;
    std::string labelmap;

    if (!infHandle.LoadModelFromFolder("", modelConfig, "anssam3", "", modelFolder, labelmap)) {
        std::cerr << "SAM3TRT_UnitTest: LoadModelFromFolder failed\n";
        return -1;
    }
    infHandle.SetPrompt("person");

    cv::VideoCapture capture(videoFile);
    if (!capture.isOpened()) {
        std::cerr << "SAM3TRT_UnitTest: could not open video file\n";
        return -1;
    }

    while (true) {
        cv::Mat frame;
        if (!capture.read(frame)) {
            std::cout << "\nEnd of video.\n";
            break;
        }
        auto start = std::chrono::system_clock::now();
        std::vector<ANSCENTER::Object> masks = infHandle.RunInference(frame);
        auto end = std::chrono::system_clock::now();
        auto elapsed = std::chrono::duration_cast<std::chrono::milliseconds>(end - start);
        printf("Time = %lld ms\n", static_cast<long long int>(elapsed.count()));

        for (size_t i = 0; i < masks.size(); i++) {
            cv::rectangle(frame, masks[i].box, 123, 2);
        }
        cv::imshow("SAM3 TensorRT Test", frame);
        if (cv::waitKey(30) == 27) break;
    }
    capture.release();
    cv::destroyAllWindows();
    infHandle.Destroy();
    std::cout << "SAM3TRT_UnitTest: done.\n";
    return 0;
}

int SAM3TRT_ImageTest()
{
    std::string modelFilePath = "C:\\Projects\\ANSVIS\\Models\\ANS_SAM_v3.0.zip";

    std::string modelFolder = "C:\\Projects\\ANSVIS\\Models\\ANS_SAM_v3.0";
    std::string imageFile = "C:\\Projects\\Research\\sam3onnx\\sam3-onnx\\images\\dog.jpg";

    ANSCENTER::ANSSAM3 infHandle;
    ANSCENTER::ModelConfig modelConfig;
    modelConfig.modelConfThreshold = 0.5f;
    std::string labelmap;
    std::string licenseKey = "";
    std::string modelZipFilePassword = "";
    if (!infHandle.Initialize(licenseKey, modelConfig, modelFilePath, modelZipFilePassword, labelmap)) {
        std::cerr << "SAM3TRT_ImageTest: LoadModelFromFolder failed\n";
        return -1;
    }
    infHandle.SetPrompt("dog");

    cv::Mat image = cv::imread(imageFile);
    if (image.empty()) {
        std::cerr << "SAM3TRT_ImageTest: could not read image: " << imageFile << "\n";
        return -1;
    }

    const int NUM_RUNS = 5;
    for (int run = 0; run < NUM_RUNS; run++) {
        auto start = std::chrono::system_clock::now();
        std::vector<ANSCENTER::Object> results = infHandle.RunInference(image);
        auto end = std::chrono::system_clock::now();
        auto elapsed = std::chrono::duration_cast<std::chrono::milliseconds>(end - start);

        std::cout << "SAM3TRT_ImageTest run " << (run + 1) << "/" << NUM_RUNS
                  << ": " << results.size() << " detections in "
                  << elapsed.count() << " ms\n";

        if (run == NUM_RUNS - 1) {
            for (size_t i = 0; i < results.size(); i++) {
                const auto& obj = results[i];
                std::cout << "  [" << i << "] box=" << obj.box
                          << " conf=" << obj.confidence
                          << " polygon=" << obj.polygon.size() << " pts\n";

                // Draw bounding box
                cv::Scalar boxColor(0, 255, 0);
                cv::rectangle(image, obj.box, boxColor, 2);

                // Draw label
                std::string label = obj.className + " " + std::to_string(obj.confidence).substr(0, 4);
                int baseline = 0;
                cv::Size textSize = cv::getTextSize(label, cv::FONT_HERSHEY_SIMPLEX, 0.5, 1, &baseline);
                cv::rectangle(image,
                    cv::Point(obj.box.x, obj.box.y - textSize.height - 4),
                    cv::Point(obj.box.x + textSize.width, obj.box.y),
                    boxColor, cv::FILLED);
                cv::putText(image, label, cv::Point(obj.box.x, obj.box.y - 2),
                    cv::FONT_HERSHEY_SIMPLEX, 0.5, cv::Scalar(0, 0, 0), 1, cv::LINE_AA);

                // Draw polygon (normalized coordinates)
                if (obj.polygon.size() >= 3) {
                    std::vector<cv::Point> polyPts;
                    polyPts.reserve(obj.polygon.size());
                    for (const auto& pt : obj.polygon) {
                        polyPts.emplace_back(
                            static_cast<int>(pt.x * image.cols),
                            static_cast<int>(pt.y * image.rows));
                    }
                    cv::Mat overlay = image.clone();
                    std::vector<std::vector<cv::Point>> polys = { polyPts };
                    cv::Scalar polyColor((i * 67 + 50) % 256, (i * 123 + 100) % 256, (i * 37 + 150) % 256);
                    cv::fillPoly(overlay, polys, polyColor);
                    cv::addWeighted(overlay, 0.4, image, 0.6, 0, image);
                    cv::polylines(image, polys, true, polyColor, 2, cv::LINE_AA);
                }
                // Mask overlay fallback
                else if (!obj.mask.empty()) {
                    cv::Mat colorMask(obj.mask.size(), CV_8UC3,
                        cv::Scalar((i * 67 + 50) % 256, (i * 123 + 100) % 256, (i * 37 + 150) % 256));
                    cv::Mat roiImg = image(obj.box);
                    cv::Mat maskBool;
                    if (obj.mask.type() != CV_8UC1)
                        obj.mask.convertTo(maskBool, CV_8UC1, 255.0);
                    else
                        maskBool = obj.mask;
                    colorMask.copyTo(roiImg, maskBool);
                    cv::addWeighted(roiImg, 0.4, image(obj.box), 0.6, 0, image(obj.box));
                }
            }
        }
    }

    cv::imshow("SAM3 TRT Image Test", image);
    cv::waitKey(0);
    cv::destroyAllWindows();
    infHandle.Destroy();
    std::cout << "SAM3TRT_ImageTest: done.\n";
    return 0;
}