NV12toBGRandResize - NV12toBGRandResize

Description

This code shows two ways to convert and resize NV12 frames to BGR 3 planars frames using CUDA in batch. Way-1, Convert NV12 Input to BGR @ Input Resolution-1, then Resize to Resolution#2. Way-2, resize NV12 Input to Resolution#2 then convert it to BGR Output. NVIDIA HW Decoder, both dGPU and Tegra, normally outputs NV12 pitch format frames. For the inference using TensorRT, the input frame needs to be BGR planar format with possibly different size. So, conversion and resizing from NV12 to BGR planar is usually required for the inference following decoding. This CUDA code provides a reference implementation for conversion and resizing.

Key Concepts

Graphics Interop, Image Processing, Video Processing

Supported SM Architectures

SM 5.0 SM 5.2 SM 5.3 SM 6.0 SM 6.1 SM 7.0 SM 7.2 SM 7.5 SM 8.0 SM 8.6 SM 8.7 SM 8.9 SM 9.0

Supported OSes

Linux, Windows

Supported CPU Architecture

x86_64, aarch64

CUDA APIs involved

CUDA Runtime API

cudaMemcpy, cudaStreamDestroy, cudaMalloc, cudaFree, cudaMallocManaged, cudaStreamAttachMemAsync, cudaDestroyTextureObject, cudaEventSynchronize, cudaDeviceSynchronize, cudaCreateTextureObject, cudaEventRecord, cudaEventDestroy, cudaEventElapsedTime, cudaStreamCreate, cudaEventCreate

Prerequisites

Download and install the CUDA Toolkit for your corresponding platform.

References (for more details)