359 uint32_t* hardNmsSingleClass(const float* scoresData, float iouThreshold, int32_t maxNumDetections,  in hardNmsSingleClass()  argument
363     if (maxNumDetections < 0) {  in hardNmsSingleClass()
364         maxNumDetections = selectLength;  in hardNmsSingleClass()
366     while (selectStart < selectEnd && numDetections < maxNumDetections) {  in hardNmsSingleClass()
388                        float scoreThreshold, float iouThreshold, int32_t maxNumDetections,  in hardNmsMultiClass()  argument
414     if (maxNumDetections < 0 || select->size() <= maxNumDetections) {  in hardNmsMultiClass()
417     select->resize(maxNumDetections);  in hardNmsMultiClass()
422 uint32_t* softNmsSingleClass(float* scoresData, float scoreThreshold, int32_t maxNumDetections,  in softNmsSingleClass()  argument
426     if (maxNumDetections < 0) {  in softNmsSingleClass()
427         maxNumDetections = selectLength;  in softNmsSingleClass()
429     while (selectStart < selectEnd && numDetections < maxNumDetections) {  in softNmsSingleClass()
452                        float scoreThreshold, float nmsScoreThreshold, int32_t maxNumDetections,  in softNmsMultiClass()  argument
479     if (maxNumDetections < 0 || select->size() <= maxNumDetections) {  in softNmsMultiClass()
482     select->resize(maxNumDetections);  in softNmsMultiClass()
488                                    float scoreThreshold, int32_t maxNumDetections,  in boxWithNmsLimitFloat32Compute()  argument
532                 maxNumDetections, maxNumDetections,  in boxWithNmsLimitFloat32Compute()
620                             int32_t maxNumDetections, int32_t softNmsKernel, float iouThreshold,  in boxWithNmsLimitFloat32()  argument
633             scoreThreshold, maxNumDetections, softNmsKernel, iouThreshold, sigma, nmsScoreThreshold,  in boxWithNmsLimitFloat32()
642                             _Float16 scoreThreshold, int32_t maxNumDetections,  in boxWithNmsLimitFloat16()  argument
656             batchesShape, scoreThreshold, maxNumDetections, softNmsKernel, iouThreshold, sigma,  in boxWithNmsLimitFloat16()
665                           float scoreThreshold, int32_t maxNumDetections, int32_t softNmsKernel,  in boxWithNmsLimitQuant()  argument
678             batchesShape, scoreThreshold, maxNumDetections, softNmsKernel, iouThreshold, sigma,  in boxWithNmsLimitQuant()
687                           float scoreThreshold, int32_t maxNumDetections, int32_t softNmsKernel,  in boxWithNmsLimitQuant()  argument
701             batchesShape, scoreThreshold, maxNumDetections, softNmsKernel, iouThreshold, sigma,  in boxWithNmsLimitQuant()
1443         float scaleX, float scaleH, float scaleW, bool useRegularNms, int32_t maxNumDetections,  in detectionPostprocessFloat32()  argument
1486                     maxNumDetections, maxNumDetectionsPerClass,  in detectionPostprocessFloat32()
1513                     maxScores.data(), iouThreshold, maxNumDetections,  in detectionPostprocessFloat32()
1548         float scaleX, float scaleH, float scaleW, bool useRegularNms, int32_t maxNumDetections,  in detectionPostprocessFloat16()  argument
1564             maxNumDetections, maxClassesPerDetection, maxNumDetectionsPerClass, iouThreshold,  in detectionPostprocessFloat16()
1624     uint32_t maxNumDetections = context->getInputValue<int32_t>(kMaxNumDetectionScalar);  in prepare()  local
1627     uint32_t numOutDetections = maxNumDetections;  in prepare()
1653     NN_RET_CHECK_GT(maxNumDetections, 0);  in prepare()