diff --git a/modules/ocl/perf/perf_brute_force_matcher.cpp b/modules/ocl/perf/perf_brute_force_matcher.cpp index 33c42c72dc..09b99f5e2f 100644 --- a/modules/ocl/perf/perf_brute_force_matcher.cpp +++ b/modules/ocl/perf/perf_brute_force_matcher.cpp @@ -53,8 +53,8 @@ using namespace perf; typedef TestBaseWithParam BruteForceMatcherFixture; -PERF_TEST_P(BruteForceMatcherFixture, DISABLED_match, - OCL_BFMATCHER_TYPICAL_MAT_SIZES) // TODO too big difference between implementations +PERF_TEST_P(BruteForceMatcherFixture, match, + OCL_BFMATCHER_TYPICAL_MAT_SIZES) { const Size srcSize = GetParam(); @@ -82,14 +82,14 @@ PERF_TEST_P(BruteForceMatcherFixture, DISABLED_match, oclMatcher.matchDownload(oclTrainIdx, oclDistance, matches); - SANITY_CHECK_MATCHES(matches); + SANITY_CHECK_MATCHES(matches, 1e-5); } else OCL_PERF_ELSE } -PERF_TEST_P(BruteForceMatcherFixture, DISABLED_knnMatch, - OCL_BFMATCHER_TYPICAL_MAT_SIZES) // TODO too big difference between implementations +PERF_TEST_P(BruteForceMatcherFixture, knnMatch, + OCL_BFMATCHER_TYPICAL_MAT_SIZES) { const Size srcSize = GetParam(); @@ -123,8 +123,8 @@ PERF_TEST_P(BruteForceMatcherFixture, DISABLED_knnMatch, oclMatcher.knnMatchDownload(oclTrainIdx, oclDistance, matches); std::vector & matches0 = matches[0], & matches1 = matches[1]; - SANITY_CHECK_MATCHES(matches0); - SANITY_CHECK_MATCHES(matches1); + SANITY_CHECK_MATCHES(matches0, 1e-5); + SANITY_CHECK_MATCHES(matches1, 1e-5); } else OCL_PERF_ELSE diff --git a/modules/ocl/src/opencl/brute_force_match.cl b/modules/ocl/src/opencl/brute_force_match.cl index a05c98ee03..ad668e6e32 100644 --- a/modules/ocl/src/opencl/brute_force_match.cl +++ b/modules/ocl/src/opencl/brute_force_match.cl @@ -17,6 +17,7 @@ // @Authors // Nathan, liujun@multicorewareinc.com // Peng Xiao, pengxiao@outlook.com +// Baichuan Su, baichuan@multicorewareinc.com // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: @@ -128,7 +129,7 @@ result_type reduce_multi_block( s_query[lidy * MAX_DESC_LEN + block_index * BLOCK_SIZE + j], s_train[j * BLOCK_SIZE + lidx]); } - return DIST_RES(result); + return result; } /* 2dim launch, global size: dim0 is (query rows + BLOCK_SIZE - 1) / BLOCK_SIZE * BLOCK_SIZE, dim1 is BLOCK_SIZE @@ -187,6 +188,8 @@ __kernel void BruteForceMatch_UnrollMatch( barrier(CLK_LOCAL_MEM_FENCE); } + result = DIST_RES(result); + int trainIdx = t * BLOCK_SIZE + lidx; if (queryIdx < query_rows && trainIdx < train_rows && result < myBestDistance/* && mask(queryIdx, trainIdx)*/) @@ -493,6 +496,8 @@ __kernel void BruteForceMatch_knnUnrollMatch( barrier(CLK_LOCAL_MEM_FENCE); } + result = DIST_RES(result); + const int trainIdx = t * BLOCK_SIZE + lidx; if (queryIdx < query_rows && trainIdx < train_rows)