8b2b51e2a5
- Increased filename buffer sizes from 120 to 256 characters - Replaced sprintf() with snprintf() to prevent potential buffer overflows
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 12.5 for your corresponding platform.