TEST (PCL_GPU, DISABLED_bruteForceRadiusSeachGPU)
| 59 | |
| 60 | //TEST (PCL_GPU, DISABLED_bruteForceRadiusSeachGPU) |
| 61 | TEST (PCL_GPU, bruteForceRadiusSeachGPU) |
| 62 | { |
| 63 | DataGenerator data; |
| 64 | data.data_size = 871000; |
| 65 | data.tests_num = 100; |
| 66 | data.cube_size = 1024.f; |
| 67 | data.max_radius = data.cube_size/15.f; |
| 68 | data.shared_radius = data.cube_size/20.f; |
| 69 | data.printParams(); |
| 70 | |
| 71 | //generate |
| 72 | data(); |
| 73 | |
| 74 | // brute force radius search |
| 75 | data.bruteForceSearch(); |
| 76 | |
| 77 | //prepare gpu cloud |
| 78 | pcl::gpu::Octree::PointCloud cloud_device; |
| 79 | cloud_device.upload(data.points); |
| 80 | |
| 81 | pcl::gpu::DeviceArray<int> results_device, buffer(cloud_device.size()); |
| 82 | |
| 83 | std::vector<int> results_host; |
| 84 | std::vector<std::size_t> sizes; |
| 85 | for(std::size_t i = 0; i < data.tests_num; ++i) |
| 86 | { |
| 87 | pcl::gpu::bruteForceRadiusSearchGPU(cloud_device, data.queries[i], data.radiuses[i], results_device, buffer); |
| 88 | |
| 89 | results_device.download(results_host); |
| 90 | std::sort(results_host.begin(), results_host.end()); |
| 91 | |
| 92 | ASSERT_EQ ( (results_host == data.bfresutls[i]), true ); |
| 93 | sizes.push_back(results_device.size()); |
| 94 | } |
| 95 | |
| 96 | float avg_size = std::accumulate(sizes.begin(), sizes.end(), (std::size_t)0) * (1.f/sizes.size());; |
| 97 | |
| 98 | std::cout << "avg_result_size = " << avg_size << std::endl; |
| 99 | ASSERT_GT(avg_size, 5); |
| 100 | } |
| 101 | |
| 102 | /* ---[ */ |
| 103 | int |
nothing calls this directly
no test coverage detected