Jungfraujoch/tests/ImageSpotFinderGPUTest.cpp

// SPDX-FileCopyrightText: 2025 Filip Leonarski, Paul Scherrer Institute
// SPDX-License-Identifier: GPL-3.0-only

#include <catch2/catch_all.hpp>
#include "../common/CUDAWrapper.h"

#ifdef JFJOCH_USE_CUDA

#include "../image_analysis/spot_finding/ImageSpotFinderGPU.h"
#include "../image_analysis/spot_finding/ImageSpotFinderCPU.h"
#include "../image_analysis/image_preprocessing/ImagePreprocessorBufferGPU.h"

static void fill_test_image(ImagePreprocessorBuffer& buffer, size_t width, size_t height) {
    for (size_t i = 0; i < width * height; i++)
        buffer[i] = (i % 2) * 5 + 5;
    buffer[width * 50 + 50] = 20;
    buffer[width * 25 + 26] = 16;
    buffer[width * 75 + 25] = 12;
}

// Helper to run the GPU finder and collect its spot list
static std::vector<DiffractionSpot> run_gpu_and_collect_spots(ImagePreprocessorBufferGPU &buffer,
                                                              size_t width, size_t height,
                                                              const SpotFindingSettings &settings,
                                                              const std::vector<bool> &res_mask) {
    auto stream = std::make_shared<CudaStream>();
    ImageSpotFinderGPU gpu(static_cast<int32_t>(width), static_cast<int32_t>(height), stream);
    REQUIRE(get_gpu_count() > 0);
    gpu.SetResolutionMask(res_mask);

    REQUIRE(cudaMemcpyAsync(buffer.getGPUBuffer(),
        buffer.getBuffer().data(),
        width * height * sizeof(int32_t),
        cudaMemcpyHostToDevice,
        *stream) == cudaSuccess);

    return gpu.Run(buffer, settings);
}

// Mirror of ImageSpotFinder_SignalToNoise
TEST_CASE("ImageSpotFinderGPU_SignalToNoise") {
    if (get_gpu_count() == 0) {
        WARN("No CUDA GPU present. Skipping ImageSpotFinderGPU_SignalToNoise");
        return;
    }

    const size_t width = 100, height = 100;
    std::vector<bool> res_mask(width * height, false);
    std::vector<bool> mask(width * height, false);

    ImagePreprocessorBufferGPU buffer(width * height);
    fill_test_image(buffer, width, height);

    SpotFindingSettings settings{
        .signal_to_noise_threshold = 3.0,
        .photon_count_threshold = 0,
        .min_pix_per_spot = 1,
        .max_pix_per_spot = 20,
        .high_resolution_limit = 0.5,
        .low_resolution_limit = 3.0,
    };

    // GPU produces strong pixels; the resolution mask is handed to the finder separately and the
    // connected-component search then runs on the device (SpotExtractorGPU). The spot-level filter
    // matches CPU ImageSpotFinder test behavior for these synthetic inputs.
    auto spots = run_gpu_and_collect_spots(buffer, width, height, settings, res_mask);

    REQUIRE(spots.size() == 2);
    REQUIRE(spots[0].RawCoord().y == 25);
    REQUIRE(spots[1].RawCoord().y == 50);
}

TEST_CASE("ImageSpotFinderGPU_CountThreshold") {
    if (get_gpu_count() == 0) {
        WARN("No CUDA GPU present. Skipping ImageSpotFinderGPU_CountThreshold");
        return;
    }

    const size_t width = 100, height = 100;
    std::vector<bool> res_mask(width * height, false);
    std::vector<bool> mask(width * height, false);

    ImagePreprocessorBufferGPU buffer(width * height);
    fill_test_image(buffer, width, height);

    SpotFindingSettings settings{
        .signal_to_noise_threshold = 0.0,
        .photon_count_threshold = 11,
        .min_pix_per_spot = 1,
        .max_pix_per_spot = 20,
        .high_resolution_limit = 0.5,
        .low_resolution_limit = 3.0,
    };

    // GPU produces strong pixels; the resolution mask is handed to the finder separately and the
    // connected-component search then runs on the device (SpotExtractorGPU). The spot-level filter
    // matches CPU ImageSpotFinder test behavior for these synthetic inputs.
    auto spots = run_gpu_and_collect_spots(buffer, width, height, settings, res_mask);

    REQUIRE(spots.size() == 3);
    REQUIRE(spots[0].RawCoord().y == 25);
    REQUIRE(spots[1].RawCoord().y == 50);
    REQUIRE(spots[2].RawCoord().y == 75);
}

TEST_CASE("ImageSpotFinderGPU_20M") {
    if (get_gpu_count() == 0) {
        WARN("No CUDA GPU present. Skipping ImageSpotFinderGPU_20M");
        return;
    }

    const size_t width = 4500, height = 4500;
    std::vector<bool> res_mask(width * height, false);
    std::vector<bool> mask(width * height, false);

    ImagePreprocessorBufferGPU buffer(width * height);
    fill_test_image(buffer, width, height);

    SpotFindingSettings settings{
        .signal_to_noise_threshold = 3.0,
        .photon_count_threshold = 0,
        .min_pix_per_spot = 1,
        .max_pix_per_spot = 20,
        .high_resolution_limit = 0.5,
        .low_resolution_limit = 3.0,
    };

    // GPU produces strong pixels; the resolution mask is handed to the finder separately and the
    // connected-component search then runs on the device (SpotExtractorGPU). The spot-level filter
    // matches CPU ImageSpotFinder test behavior for these synthetic inputs.
    auto spots = run_gpu_and_collect_spots(buffer, width, height, settings, res_mask);

    REQUIRE(spots.size() == 2);
    REQUIRE(spots[0].RawCoord().y == 25);
    REQUIRE(spots[1].RawCoord().y == 50);
}

// The two finders must return the same spots for the same frame - a dataset processed on a machine
// without a GPU has to give the same answer as one processed with it.
//
// The spots here are deliberately broad. Both finders measure a pixel against a 31x31 local
// background, so a blob several pixels across sits inside its own background window and inflates
// the mean and variance it is tested against. That is what the second pass exists to undo: it
// recomputes the background with the pixels found strong by the first pass excluded. A single-pass
// finder loses the outer pixels of every broad spot, so this comparison fails unless both sides run
// the same two passes.
TEST_CASE("ImageSpotFinder_CPU_GPU_Parity", "[ImageSpotFinder]") {
    if (get_gpu_count() == 0)
        SKIP("No CUDA GPU present");

    const size_t width = 100, height = 100;

    ImagePreprocessorBufferGPU gpu_buffer(width * height);
    ImagePreprocessorBuffer cpu_buffer(width * height);

    // Background alternating 5/10 (mean 7.5, sd 2.5), plus two spots shaped to make the second pass
    // matter: a bright 5x5 core (300) with a thin one-pixel ring around it (25). The ring is well
    // above the clean background, but the core sitting inside the ring's own 31x31 window drags that
    // window's mean to ~16 and its sd to ~46, so on a single pass the ring fails the SNR test and the
    // spot comes out as the 25-pixel core. The second pass takes the core out of the background and
    // the ring passes, giving 49 pixels. The ring is kept thin on purpose: a wide halo would swamp
    // its own background and stay undetectable either way.
    auto fill = [&](ImagePreprocessorBuffer &b) {
        for (size_t i = 0; i < width * height; i++)
            b[i] = (i % 2) * 5 + 5;

        const struct { int cx, cy; } spots[] = {{50, 50}, {22, 74}};
        for (const auto &s : spots) {
            for (int dy = -3; dy <= 3; dy++) {
                for (int dx = -3; dx <= 3; dx++) {
                    const bool ring = std::abs(dx) == 3 || std::abs(dy) == 3;
                    b[(s.cy + dy) * width + (s.cx + dx)] = ring ? 25 : 300;
                }
            }
        }
    };
    fill(gpu_buffer);
    fill(cpu_buffer);

    SpotFindingSettings settings{
        .signal_to_noise_threshold = 3.0,
        .photon_count_threshold = 0,
        .min_pix_per_spot = 1,
        .max_pix_per_spot = 1000,
        .high_resolution_limit = 0.5,
        .low_resolution_limit = 3.0,
    };
    const std::vector<bool> res_mask(width * height, false);

    ImageSpotFinderCPU cpu(static_cast<int32_t>(width), static_cast<int32_t>(height));
    cpu.SetResolutionMask(res_mask);
    const auto cpu_spots = cpu.Run(cpu_buffer, settings);

    const auto gpu_spots = run_gpu_and_collect_spots(gpu_buffer, width, height, settings, res_mask);

    REQUIRE(cpu_spots.size() == gpu_spots.size());
    REQUIRE(cpu_spots.size() == 2);   // guard against both finding nothing and "agreeing"

    for (size_t i = 0; i < cpu_spots.size(); i++) {
        CHECK(cpu_spots[i].RawCoord().x == Catch::Approx(gpu_spots[i].RawCoord().x));
        CHECK(cpu_spots[i].RawCoord().y == Catch::Approx(gpu_spots[i].RawCoord().y));
        // The pixel set is what the second pass changes, so compare it rather than the centroid,
        // which stays put for a symmetric spot whether or not the halo was picked up.
        CHECK(cpu_spots[i].PixelCount() == gpu_spots[i].PixelCount());
        CHECK(cpu_spots[i].Count() == gpu_spots[i].Count());
    }

    // Both finders must reach past the bright core into the ring: 49 pixels, not the 25 of the core
    // alone. Without this the comparison above would still pass if both ran a single pass.
    CHECK(cpu_spots[0].PixelCount() == 49);
}

#endif