Quickstart Guide

Getting Started with NPP_Plus

To begin using NPP_Plus, download the latest version of the library and install it on your NVIDIA GPU-equipped machine.

• Download NPP_Plus: NPP_Plus Downloads

• Demo Sample Repository: NPP_Plus Demos

Prerequisites

To run these examples, ensure the following dependencies are installed:

• A Linux or Windows system with an NVIDIA GPU

• The latest NVIDIA drivers

• CUDA 12.8 Toolkit

• CMake for building the samples

Examples

Explore the following examples to see how NPP_Plus APIs are applied in various image processing tasks:

• Flood Fill Sample: Demonstrates the flood fill algorithm using NPP_Plus to fill connected image regions. Flood Fill Example

• Find Contour Sample: Shows how to find image contours efficiently using NPP_Plus. Find Contour Example

• Image Euclidean Distance Transform: Applies the Euclidean distance transform to images. Image Euclidean Distance Transform Example

• Watershed Segmentation: Performs image segmentation using the watershed algorithm. Watershed Segmentation Example

• Batched Label Markers and Compression: Explains how to label connected regions and apply compression to labeled image regions. Batched Label Markers and Compression Example

Each of these examples provides code snippets, performance benchmarks, and insights into how NPP_Plus can be leveraged for GPU-accelerated image processing.