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README.md

Overview

The QCNode(Qualcomm Compute Node) is Qualcomm ADAS hardware abstraction layer that provides user friendly APIs to access the Qualcomm ADAS hardware accelerator. It is ADAS service oriented to provide user friendly node and utils to cover the perception and compute vision related task.

Documents

Refer to the INDEX for full documentation.

Below is a summary information of the current implemented nodes.

QCNodeQNX PVMHGY PVMLibraryProcessorFeatures
CameraYESYESqcarcamCameracamera streaming
RemapYESYESFastADASCPU, HTP0, HTP1, GPUColor Conversion, ROI Crop, Downscaling, Undistortion
QNNYESYESQNNCPU, GPU, HTP0, HTP1AI model inference
VideoEncoderYESYESvidcVPUEncode image to video frame
VideoDecoderYESYESvidcVPUDecode video frame to image
VoxelizationYESYESFastADAS, OpenCLCPU, HTP0, HTP1, GPUGenerate pillars from point clouds
CL2DFlexYESYesOpenCLGPUColor Conversion, Resize, ROI Crop, Undistortion
OpticalFlowYESYESSVEVAOptical flow computation
DepthFromStereoYESYESSVEVADepth estimation from stereo images
RadarYESYESRadar ServiceCPURadar raw data ingestion and offload to external processing service

How to build

For how to build the QCNode package, check this README

How to run

For how to run the QCNode package, check this README.

For how to run the QCNode E2E perception pipeline sample, check this README.

License

QCNode is licensed under the BSD-3-clause License. See LICENSE.txt for the full license text.

关于 About

QCNode is Qualcomm's next-generation ADAS Hardware Abstraction Layer (HAL). It provides a set of user-friendly APIs that abstract the complexities of interacting with Qualcomm’s ADAS hardware accelerators. It simplifies the development of perception and computer vision apps by offering modular components and utilities tailored for ADAS use cases.

语言 Languages

C++93.0%
C2.9%
Python1.6%
CMake1.6%
Shell0.8%
Dockerfile0.1%
Makefile0.0%

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