The complexity of a CCL problem depends on the structure of the connected components in the input data and the performance of each method can differ dramatically for different datasets. Hence, to perform an unbiased analysis, CCL algorithms should be tested on a variety of different input cases....
Repository files navigation README MIT license connected_components_cuda CUDA BASED CCAbout CUDA BASED CC Resources Readme License MIT license Activity Stars 0 stars Watchers 1 watching Forks 0 forks Report repository Releases No releases published Packages No packages published Languages ...
the input should be a pitch linear CUDA image the format of an input image should be one of DW_IMAGE_FORMAT_R_UINT8, DW_IMAGE_FORMAT_YUV420_UINT8_PLANAR or DW_IMAGE_FORMAT_YUV_UINT8_PLANAR Relevant Tutorials Connected Components Workflow APIs Connected Components Interface Advance...
The workflow of the connected components module is: Create connected components handle. dwImageProperties inputProps{}; inputProps.width = width; inputProps.height = height; inputProps.type = DW_IMAGE_CUDA; inputProps.format = DW_IMAGE_FORMAT_R_UINT8; dwConnectedComponentsHandle_t ccl; dwConnect...
OpenCV中的新函数connectedComponentsWithStats使用 主要内容:对比新旧函数,用于过滤原始图像中轮廓分析后较小的区域,留下较大区域。 关键字:connectedComponentsWithStats 是先调用 cv::findContours() 函数(传入 cv::RETR_CCOMP 标志),随后在得到的连通区域上循环调用 cv::drawContours() “...
This paper proposes a new parallel approach to solve connected components on a 2D binary image implemented with CUDA. We employ the following strategies to accelerate neighborhood exploration after dividing an input image into independent blocks. In the local labeling stage, a coarse-labeling algorithm...
Paper tables with annotated results for Efficient Parallel Connected Components Labeling with a Coarse-to-fine Strategy
CUDA Accelerated LTL Model Checking Recently, the massively parallel architecture has been used to significantly accelerate many computation demanding tasks. For example, in [Baier, Kateon, T... J Barnat,L Brim,M Ceška,... - International Conference on Parallel & Distributed Systems 被引量: ...
* components to be found within organized point cloud data, given a * comparison function. Given an input cloud and a comparator, it will * output a PointCloud of labels, giving each connected component a unique * id, along with a vector of PointIndices corresponding to each component. ...
API version: 3.0 (OpenCL 3.0 CUDA)Device version: 3.0 (OpenCL 3.0 CUDA)Vendor name: NVIDIADriver date: UNKNOWNDriver age: UNKNOWNDriver version: UNKNOWNBandwidth: 40 GB / sCompute score: 331.488Device name string: NVIDIA GeForce MX230Device vendor string: NVIDIA CorporationPlatform name string...