OpenCV  4.1.2-pre
Open Source Computer Vision
How to enable Halide backend for improve efficiency

Introduction

This tutorial guidelines how to run your models in OpenCV deep learning module using Halide language backend. Halide is an open-source project that let us write image processing algorithms in well-readable format, schedule computations according to specific device and evaluate it with a quite good efficiency.

An official website of the Halide project: http://halide-lang.org/.

An up to date efficiency comparison: https://github.com/opencv/opencv/wiki/DNN-Efficiency

Requirements

LLVM compiler

Note
LLVM compilation might take a long time.
Note
\\path-to-llvm-build\\ and \\path-to-llvm-install\\ are different directories.

Halide language.

Build OpenCV with Halide backend

When you build OpenCV add the following configuration flags:

Set Halide as a preferable backend

net.setPreferableBackend(DNN_BACKEND_HALIDE);