mirror of
https://github.com/opencv/opencv.git
synced 2026-07-29 15:23:05 +04:00
Merge branch 4.x
This commit is contained in:
Alexander Smorkalov
Alexander Smorkalov
@@ -321,6 +321,358 @@ void CV_ArucoDetectionPerspective::run(int) {
|
||||
}
|
||||
}
|
||||
|
||||
// Helper struct and functions for CV_ArucoDetectionConfidence
|
||||
|
||||
// Inverts a square subregion inside selected cells of a marker to simulate a confidence drop
|
||||
enum class MarkerRegionToTemper {
|
||||
BORDER, // Only invert cells within the marker border bits
|
||||
INNER, // Only invert cells in the inner part of the marker (excluding borders)
|
||||
ALL // Invert any cells
|
||||
};
|
||||
|
||||
// Define the characteristics of cell inversions
|
||||
struct MarkerTemperingConfig {
|
||||
float cellRatioToTemper; // [0,1] ratio of the cell to invert
|
||||
int numCellsToTemper; // Number of cells to invert
|
||||
MarkerRegionToTemper markerRegionToTemper; // Which cells to invert (BORDER, INNER, ALL)
|
||||
};
|
||||
|
||||
// Test configs for CV_ArucoDetectionConfidence
|
||||
struct ArucoConfidenceTestConfig {
|
||||
MarkerTemperingConfig markerTemperingConfig; // Configuration of cells to invert (percentage, number and markerRegionToTemper)
|
||||
float perspectiveRemoveIgnoredMarginPerCell; // Width of the margin of pixels on each cell not considered for the marker identification
|
||||
int markerBorderBits; // Number of bits of the marker border
|
||||
float distortionRatio; // Percentage of offset used for perspective distortion, bigger means more distorted
|
||||
};
|
||||
|
||||
enum class markerRot
|
||||
{
|
||||
NONE = 0,
|
||||
ROT_90,
|
||||
ROT_180,
|
||||
ROT_270
|
||||
};
|
||||
|
||||
struct markerDetectionGT {
|
||||
int id; // Marker identification
|
||||
double confidence; // Pixel-based confidence defined as 1 - (inverted area / total area)
|
||||
bool expectDetection; // True if we expect to detect the marker
|
||||
};
|
||||
|
||||
struct MarkerCreationConfig {
|
||||
int id; // Marker identification
|
||||
int markerSidePixels; // Marker size (in pixels)
|
||||
markerRot rotation; // Rotation of the marker in degrees (0, 90, 180, 270)
|
||||
};
|
||||
|
||||
void rotateMarker(Mat &marker, const markerRot rotation)
|
||||
{
|
||||
if(rotation == markerRot::NONE)
|
||||
return;
|
||||
|
||||
if (rotation == markerRot::ROT_90) {
|
||||
cv::transpose(marker, marker);
|
||||
cv::flip(marker, marker, 0);
|
||||
} else if (rotation == markerRot::ROT_180) {
|
||||
cv::flip(marker, marker, -1);
|
||||
} else if (rotation == markerRot::ROT_270) {
|
||||
cv::transpose(marker, marker);
|
||||
cv::flip(marker, marker, 1);
|
||||
}
|
||||
}
|
||||
|
||||
void distortMarker(Mat &marker, const float distortionRatio)
|
||||
{
|
||||
|
||||
if (distortionRatio < FLT_EPSILON)
|
||||
return;
|
||||
|
||||
// apply a distortion (a perspective warp) to simulate a non-ideal capture
|
||||
vector<Point2f> src = { {0, 0},
|
||||
{static_cast<float>(marker.cols), 0},
|
||||
{static_cast<float>(marker.cols), static_cast<float>(marker.rows)},
|
||||
{0, static_cast<float>(marker.rows)} };
|
||||
float offset = marker.cols * distortionRatio; // distortionRatio % offset for distortion
|
||||
vector<Point2f> dst = { {offset, offset},
|
||||
{marker.cols - offset, 0},
|
||||
{marker.cols - offset, marker.rows - offset},
|
||||
{0, marker.rows - offset} };
|
||||
Mat M = getPerspectiveTransform(src, dst);
|
||||
warpPerspective(marker, marker, M, marker.size(), INTER_LINEAR, BORDER_CONSTANT, Scalar(255));
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Inverts a square subregion inside selected cells of a marker image to simulate confidence degradation.
|
||||
*
|
||||
* The function computes the marker grid parameters and then applies a bitwise inversion
|
||||
* on a square markerRegionToTemper inside the chosen cells. The number of cells to be inverted is determined by
|
||||
* the parameter 'numCellsToTemper'. The candidate cells can be filtered to only include border cells,
|
||||
* inner cells, or all cells according to the parameter 'markerRegionToTemper'.
|
||||
*
|
||||
* @param marker The marker image
|
||||
* @param markerSidePixels The total size of the marker in pixels (inner and border).
|
||||
* @param markerId The id of the marker
|
||||
* @param params The Aruco detector configuration (provides border bits, margin ratios, etc.).
|
||||
* @param dictionary The Aruco marker dictionary (used to determine marker grid size).
|
||||
* @param cellTempConfig Cell tempering config as defined in MarkerTemperingConfig
|
||||
* @return Cell tempering ground truth as defined in markerDetectionGT
|
||||
*/
|
||||
markerDetectionGT applyTemperingToMarkerCells(cv::Mat &marker,
|
||||
const int markerSidePixels,
|
||||
const int markerId,
|
||||
const aruco::DetectorParameters ¶ms,
|
||||
const aruco::Dictionary &dictionary,
|
||||
const MarkerTemperingConfig &cellTempConfig)
|
||||
{
|
||||
|
||||
// nothing to invert
|
||||
if(cellTempConfig.numCellsToTemper <= 0 || cellTempConfig.cellRatioToTemper <= FLT_EPSILON)
|
||||
return {markerId, 1.0, true};
|
||||
|
||||
// compute the overall grid dimensions.
|
||||
const int markerSizeWithBorders = dictionary.markerSize + 2 * params.markerBorderBits;
|
||||
const int cellSidePixelsSize = markerSidePixels / markerSizeWithBorders;
|
||||
|
||||
// compute the margin within each cell used for identification.
|
||||
const int cellMarginPixels = static_cast<int>(params.perspectiveRemoveIgnoredMarginPerCell * cellSidePixelsSize);
|
||||
const int innerCellSizePixels = cellSidePixelsSize - 2 * cellMarginPixels;
|
||||
|
||||
// determine the size of the square that will be inverted in each cell.
|
||||
// (cellSidePixelsInvert / innerCellSizePixels)^2 should equal cellRatioToTemper.
|
||||
const int cellSidePixelsInvert = min(cellSidePixelsSize, static_cast<int>(innerCellSizePixels * std::sqrt(cellTempConfig.cellRatioToTemper)));
|
||||
const int inversionOffsetPixels = (cellSidePixelsSize - cellSidePixelsInvert) / 2;
|
||||
|
||||
// nothing to invert
|
||||
if(cellSidePixelsInvert <= 0)
|
||||
return {markerId, 1.0, true};
|
||||
|
||||
int cellsTempered = 0;
|
||||
int borderErrors = 0;
|
||||
int innerCellsErrors = 0;
|
||||
// iterate over each cell in the grid.
|
||||
for (int row = 0; row < markerSizeWithBorders; row++) {
|
||||
for (int col = 0; col < markerSizeWithBorders; col++) {
|
||||
|
||||
// decide if this cell falls in the markerRegionToTemper to temper.
|
||||
const bool isBorder = (row < params.markerBorderBits ||
|
||||
col < params.markerBorderBits ||
|
||||
row >= markerSizeWithBorders - params.markerBorderBits ||
|
||||
col >= markerSizeWithBorders - params.markerBorderBits);
|
||||
|
||||
const bool inRegion = (cellTempConfig.markerRegionToTemper == MarkerRegionToTemper::ALL ||
|
||||
(isBorder && cellTempConfig.markerRegionToTemper == MarkerRegionToTemper::BORDER) ||
|
||||
(!isBorder && cellTempConfig.markerRegionToTemper == MarkerRegionToTemper::INNER));
|
||||
|
||||
// apply the inversion to simulate tempering.
|
||||
if (inRegion && (cellsTempered < cellTempConfig.numCellsToTemper)) {
|
||||
const int xStart = col * cellSidePixelsSize + inversionOffsetPixels;
|
||||
const int yStart = row * cellSidePixelsSize + inversionOffsetPixels;
|
||||
cv::Rect cellRect(xStart, yStart, cellSidePixelsInvert, cellSidePixelsInvert);
|
||||
cv::Mat cellROI = marker(cellRect);
|
||||
cv::bitwise_not(cellROI, cellROI);
|
||||
++cellsTempered;
|
||||
|
||||
// cell too tempered, no detection expected
|
||||
if(cellTempConfig.cellRatioToTemper > 0.5f) {
|
||||
if(isBorder){
|
||||
++borderErrors;
|
||||
} else {
|
||||
++innerCellsErrors;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if(cellsTempered >= cellTempConfig.numCellsToTemper)
|
||||
break;
|
||||
}
|
||||
|
||||
if(cellsTempered >= cellTempConfig.numCellsToTemper)
|
||||
break;
|
||||
}
|
||||
|
||||
// compute the ground-truth confidence
|
||||
const double invertedArea = cellsTempered * cellSidePixelsInvert * cellSidePixelsInvert;
|
||||
const double totalDetectionArea = markerSizeWithBorders * innerCellSizePixels * markerSizeWithBorders * innerCellSizePixels;
|
||||
const double groundTruthConfidence = std::max(0.0, 1.0 - invertedArea / totalDetectionArea);
|
||||
|
||||
// check if marker is expected to be detected
|
||||
const int maximumErrorsInBorder = static_cast<int>(dictionary.markerSize * dictionary.markerSize * params.maxErroneousBitsInBorderRate);
|
||||
const int maxCorrectionRecalculed = static_cast<int>(dictionary.maxCorrectionBits * params.errorCorrectionRate);
|
||||
const bool expectDetection = static_cast<bool>(borderErrors <= maximumErrorsInBorder && innerCellsErrors <= maxCorrectionRecalculed);
|
||||
|
||||
return {markerId, groundTruthConfidence, expectDetection};
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Create an image of a marker with inverted (tempered) regions to simulate detection confidence
|
||||
*
|
||||
* Applies an optional rotation and an optional perspective warp to simulate a distorted marker.
|
||||
* Inverts a square subregion inside selected cells of a marker image to simulate a drop in confidence.
|
||||
* Computes the ground-truth confidence as one minus the ratio of inverted area to the total marker area used for identification.
|
||||
*
|
||||
*/
|
||||
markerDetectionGT generateTemperedMarkerImage(Mat &marker, const MarkerCreationConfig &markerConfig, const MarkerTemperingConfig &markerTemperingConfig,
|
||||
const aruco::DetectorParameters ¶ms, const aruco::Dictionary &dictionary, const float distortionRatio = 0.f)
|
||||
{
|
||||
// generate the synthetic marker image
|
||||
aruco::generateImageMarker(dictionary, markerConfig.id, markerConfig.markerSidePixels,
|
||||
marker, params.markerBorderBits);
|
||||
|
||||
// rotate marker if necessary
|
||||
rotateMarker(marker, markerConfig.rotation);
|
||||
|
||||
// temper with cells to simulate detection confidence drops
|
||||
markerDetectionGT groundTruth = applyTemperingToMarkerCells(marker, markerConfig.markerSidePixels, markerConfig.id, params, dictionary, markerTemperingConfig);
|
||||
|
||||
// apply a distortion (a perspective warp) to simulate a non-ideal capture
|
||||
distortMarker(marker, distortionRatio);
|
||||
|
||||
return groundTruth;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* @brief Copies a marker image into a larger image at the given top-left position.
|
||||
*/
|
||||
void placeMarker(Mat &img, const Mat &marker, const Point2f &topLeft)
|
||||
{
|
||||
Rect roi(Point(static_cast<int>(topLeft.x), static_cast<int>(topLeft.y)), marker.size());
|
||||
marker.copyTo(img(roi));
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* @brief Test the marker confidence computations
|
||||
*
|
||||
* Loops over a set of detector configurations (e.g. expected confidence, distortion, DetectorParameters)
|
||||
* For each configuration, it creates a synthetic image containing four markers arranged in a 2x2 grid.
|
||||
* Each marker is generated with its own configuration (id, size, rotation).
|
||||
* Finally, it runs the detector and checks that each marker is detected and
|
||||
* that its computed confidence is close to the ground truth value.
|
||||
*
|
||||
*/
|
||||
static void runArucoDetectionConfidence(ArucoAlgParams arucoAlgParam) {
|
||||
aruco::DetectorParameters params;
|
||||
// make sure there are no bits have any detection errors
|
||||
params.maxErroneousBitsInBorderRate = 0.0;
|
||||
params.errorCorrectionRate = 0.0;
|
||||
params.perspectiveRemovePixelPerCell = 8; // esnsure that there is enough resolution to properly handle distortions
|
||||
aruco::ArucoDetector detector(aruco::getPredefinedDictionary(aruco::DICT_6X6_250), params);
|
||||
|
||||
const bool detectInvertedMarker = (arucoAlgParam == ArucoAlgParams::DETECT_INVERTED_MARKER);
|
||||
|
||||
// define several detector configurations to test different settings
|
||||
// {{MarkerTemperingConfig}, perspectiveRemoveIgnoredMarginPerCell, markerBorderBits, distortionRatio}
|
||||
vector<ArucoConfidenceTestConfig> detectorConfigs = {
|
||||
// No margins, No distortion
|
||||
{{0.f, 64, MarkerRegionToTemper::ALL}, 0.0f, 1, 0.f},
|
||||
{{0.01f, 64, MarkerRegionToTemper::ALL}, 0.0f, 1, 0.f},
|
||||
{{0.05f, 100, MarkerRegionToTemper::ALL}, 0.0f, 2, 0.f},
|
||||
{{0.1f, 64, MarkerRegionToTemper::ALL}, 0.0f, 1, 0.f},
|
||||
{{0.15f, 30, MarkerRegionToTemper::ALL}, 0.0f, 1, 0.f},
|
||||
{{0.20f, 55, MarkerRegionToTemper::ALL}, 0.0f, 2, 0.f},
|
||||
// Margins, No distortion
|
||||
{{0.f, 26, MarkerRegionToTemper::BORDER}, 0.05f, 1, 0.f},
|
||||
{{0.01f, 56, MarkerRegionToTemper::BORDER}, 0.05f, 2, 0.f},
|
||||
{{0.05f, 144, MarkerRegionToTemper::ALL}, 0.1f, 3, 0.f},
|
||||
{{0.10f, 49, MarkerRegionToTemper::ALL}, 0.15f, 1, 0.f},
|
||||
// No margins, distortion
|
||||
{{0.f, 36, MarkerRegionToTemper::INNER}, 0.0f, 1, 0.01f},
|
||||
{{0.01f, 36, MarkerRegionToTemper::INNER}, 0.0f, 1, 0.02f},
|
||||
{{0.05f, 12, MarkerRegionToTemper::INNER}, 0.0f, 2, 0.05f},
|
||||
{{0.1f, 64, MarkerRegionToTemper::ALL}, 0.0f, 1, 0.1f},
|
||||
{{0.1f, 81, MarkerRegionToTemper::ALL}, 0.0f, 2, 0.2f},
|
||||
// Margins, distortion
|
||||
{{0.f, 81, MarkerRegionToTemper::ALL}, 0.05f, 2, 0.01f},
|
||||
{{0.01f, 64, MarkerRegionToTemper::ALL}, 0.05f, 1, 0.02f},
|
||||
{{0.05f, 81, MarkerRegionToTemper::ALL}, 0.1f, 2, 0.05f},
|
||||
{{0.1f, 64, MarkerRegionToTemper::ALL}, 0.15f, 1, 0.1f},
|
||||
{{0.1f, 64, MarkerRegionToTemper::ALL}, 0.0f, 1, 0.2f},
|
||||
// no marker detection, too much tempering
|
||||
{{0.9f, 1, MarkerRegionToTemper::ALL}, 0.05f, 2, 0.0f},
|
||||
{{0.9f, 1, MarkerRegionToTemper::BORDER}, 0.05f, 2, 0.0f},
|
||||
{{0.9f, 1, MarkerRegionToTemper::INNER}, 0.05f, 2, 0.0f},
|
||||
};
|
||||
|
||||
// define marker configurations for the 4 markers in each image
|
||||
const int markerSidePixels = 480; // To simplify the cell division, markerSidePixels is a multiple of 8. (6x6 dict + 2 border bits)
|
||||
vector<MarkerCreationConfig> markerCreationConfig = {
|
||||
{0, markerSidePixels, markerRot::ROT_90}, // {id, markerSidePixels, rotation}
|
||||
{1, markerSidePixels, markerRot::ROT_270},
|
||||
{2, markerSidePixels, markerRot::NONE},
|
||||
{3, markerSidePixels, markerRot::ROT_180}
|
||||
};
|
||||
|
||||
// loop over each detector configuration
|
||||
for (size_t cfgIdx = 0; cfgIdx < detectorConfigs.size(); cfgIdx++) {
|
||||
ArucoConfidenceTestConfig detCfg = detectorConfigs[cfgIdx];
|
||||
SCOPED_TRACE(cv::format("detectorConfig=%zu", cfgIdx));
|
||||
|
||||
// update detector parameters
|
||||
params.perspectiveRemoveIgnoredMarginPerCell = detCfg.perspectiveRemoveIgnoredMarginPerCell;
|
||||
params.markerBorderBits = detCfg.markerBorderBits;
|
||||
params.detectInvertedMarker = detectInvertedMarker;
|
||||
detector.setDetectorParameters(params);
|
||||
|
||||
// create a blank image large enough to hold 4 markers in a 2x2 grid
|
||||
const int margin = markerSidePixels / 2;
|
||||
const int imageSize = (markerSidePixels * 2) + margin * 3;
|
||||
Mat img(imageSize, imageSize, CV_8UC1, Scalar(255));
|
||||
|
||||
vector<markerDetectionGT> groundTruths;
|
||||
const aruco::Dictionary &dictionary = detector.getDictionary();
|
||||
|
||||
// place each marker into the image
|
||||
for (int row = 0; row < 2; row++) {
|
||||
for (int col = 0; col < 2; col++) {
|
||||
int index = row * 2 + col;
|
||||
MarkerCreationConfig markerCfg = markerCreationConfig[index];
|
||||
// adjust marker id to be unique for each detector configuration
|
||||
markerCfg.id += static_cast<int>(cfgIdx * markerCreationConfig.size());
|
||||
|
||||
// generate img
|
||||
Mat markerImg;
|
||||
markerDetectionGT gt = generateTemperedMarkerImage(markerImg, markerCfg, detCfg.markerTemperingConfig, params, dictionary, detCfg.distortionRatio);
|
||||
groundTruths.push_back(gt);
|
||||
|
||||
// place marker in the image
|
||||
Point2f topLeft(static_cast<float>(margin + col * (markerSidePixels + margin)),
|
||||
static_cast<float>(margin + row * (markerSidePixels + margin)));
|
||||
placeMarker(img, markerImg, topLeft);
|
||||
}
|
||||
}
|
||||
|
||||
// if testing inverted markers globally, invert the whole image
|
||||
if (detectInvertedMarker) {
|
||||
bitwise_not(img, img);
|
||||
}
|
||||
|
||||
// run detection.
|
||||
vector<vector<Point2f>> corners, rejected;
|
||||
vector<int> ids;
|
||||
vector<float> markerConfidence;
|
||||
detector.detectMarkersWithConfidence(img, corners, ids, markerConfidence, rejected);
|
||||
|
||||
ASSERT_EQ(ids.size(), corners.size());
|
||||
ASSERT_EQ(ids.size(), markerConfidence.size());
|
||||
|
||||
std::map<int, float> confidenceById;
|
||||
for (size_t i = 0; i < ids.size(); i++) {
|
||||
confidenceById[ids[i]] = markerConfidence[i];
|
||||
}
|
||||
|
||||
// verify that every marker is detected and its confidence is within tolerance
|
||||
for (const auto& currentGT : groundTruths) {
|
||||
const bool detected = confidenceById.find(currentGT.id) != confidenceById.end();
|
||||
EXPECT_EQ(currentGT.expectDetection, detected) << "Marker id: " << currentGT.id;
|
||||
|
||||
if (currentGT.expectDetection && detected) {
|
||||
EXPECT_NEAR(currentGT.confidence, confidenceById[currentGT.id], 0.05)
|
||||
<< "Marker id: " << currentGT.id;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Check max and min size in marker detection parameters
|
||||
@@ -552,6 +904,83 @@ TEST(CV_ArucoBitCorrection, algorithmic) {
|
||||
test.safe_run();
|
||||
}
|
||||
|
||||
TEST(CV_ArucoDetectionConfidence, algorithmic) {
|
||||
runArucoDetectionConfidence(ArucoAlgParams::USE_DEFAULT);
|
||||
}
|
||||
|
||||
TEST(CV_InvertedArucoDetectionConfidence, algorithmic) {
|
||||
runArucoDetectionConfidence(ArucoAlgParams::DETECT_INVERTED_MARKER);
|
||||
}
|
||||
|
||||
TEST(CV_InvertedFlagArucoDetectionConfidence, algorithmic) {
|
||||
aruco::DetectorParameters params;
|
||||
params.maxErroneousBitsInBorderRate = 0.0;
|
||||
params.errorCorrectionRate = 0.0;
|
||||
params.perspectiveRemovePixelPerCell = 8;
|
||||
params.detectInvertedMarker = false;
|
||||
|
||||
const aruco::Dictionary dictionary = aruco::getPredefinedDictionary(aruco::DICT_6X6_250);
|
||||
|
||||
// create a blank image large enough to hold 4 markers in a 2x2 grid
|
||||
const int markerSidePixels = 480;
|
||||
const int margin = markerSidePixels / 2;
|
||||
const int imageSize = (markerSidePixels * 2) + margin * 3;
|
||||
Mat img(imageSize, imageSize, CV_8UC1, Scalar(255));
|
||||
|
||||
// place 4 markers into the image
|
||||
for (int row = 0; row < 2; row++) {
|
||||
for (int col = 0; col < 2; col++) {
|
||||
const int id = row * 2 + col;
|
||||
Mat markerImg;
|
||||
aruco::generateImageMarker(dictionary, id, markerSidePixels, markerImg, params.markerBorderBits);
|
||||
|
||||
Point2f topLeft(static_cast<float>(margin + col * (markerSidePixels + margin)),
|
||||
static_cast<float>(margin + row * (markerSidePixels + margin)));
|
||||
placeMarker(img, markerImg, topLeft);
|
||||
}
|
||||
}
|
||||
|
||||
// run detection with detectInvertedMarker = false (baseline)
|
||||
aruco::ArucoDetector detector(dictionary, params);
|
||||
vector<vector<Point2f>> corners, rejected;
|
||||
vector<int> ids;
|
||||
vector<float> confidenceDefault;
|
||||
detector.detectMarkersWithConfidence(img, corners, ids, confidenceDefault, rejected);
|
||||
ASSERT_EQ(ids.size(), corners.size());
|
||||
ASSERT_EQ(ids.size(), confidenceDefault.size());
|
||||
|
||||
std::map<int, float> confidenceByIdDefault;
|
||||
for (size_t i = 0; i < ids.size(); i++) {
|
||||
confidenceByIdDefault[ids[i]] = confidenceDefault[i];
|
||||
}
|
||||
|
||||
// run detection with detectInvertedMarker = true, without inverting the image
|
||||
params.detectInvertedMarker = true;
|
||||
aruco::ArucoDetector detectorInvertedFlag(dictionary, params);
|
||||
vector<float> confidenceInvertedFlag;
|
||||
detectorInvertedFlag.detectMarkersWithConfidence(img, corners, ids, confidenceInvertedFlag, rejected);
|
||||
ASSERT_EQ(ids.size(), corners.size());
|
||||
ASSERT_EQ(ids.size(), confidenceInvertedFlag.size());
|
||||
|
||||
std::map<int, float> confidenceByIdInvertedFlag;
|
||||
for (size_t i = 0; i < ids.size(); i++) {
|
||||
confidenceByIdInvertedFlag[ids[i]] = confidenceInvertedFlag[i];
|
||||
}
|
||||
|
||||
// detectInvertedMarker should not invert/flip confidence for non-inverted markers.
|
||||
for (int id = 0; id < 4; id++) {
|
||||
ASSERT_NE(confidenceByIdDefault.find(id), confidenceByIdDefault.end()) << "Marker id: " << id;
|
||||
ASSERT_NE(confidenceByIdInvertedFlag.find(id), confidenceByIdInvertedFlag.end()) << "Marker id: " << id;
|
||||
|
||||
const float confDefault = confidenceByIdDefault[id];
|
||||
const float confInvertedFlag = confidenceByIdInvertedFlag[id];
|
||||
|
||||
EXPECT_GT(confDefault, 0.8f) << "Marker id: " << id;
|
||||
EXPECT_GT(confInvertedFlag, 0.8f) << "Marker id: " << id;
|
||||
EXPECT_NEAR(confDefault, confInvertedFlag, 0.2f) << "Marker id: " << id;
|
||||
}
|
||||
}
|
||||
|
||||
TEST(CV_ArucoDetectMarkers, regression_3192)
|
||||
{
|
||||
aruco::ArucoDetector detector(aruco::getPredefinedDictionary(aruco::DICT_4X4_50));
|
||||
|
||||
Reference in New Issue
Block a user