# integration

**Repository Path**: kkxlly/integration

## Basic Information

- **Project Name**: integration
- **Description**: vot toolkit附加包 于vot-toolkit-master版本一样
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-09-23
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

Tracker integration examples
============================

This repository contains several examples of tracker integration for C/C++, Matlab, and Python trackers. Helpers for all languages are provided so that integration is as easy as adding a few lines of code to your tracker source code. For C/C++ three example trackers are provided in the `native` directory, for Matlab an example tracker is in the `matlab` directory, and for Python in the `python` directory. More information can be found in the [documentation](index.md).

C/C++
------------

Three examples are provided by the toolkit. There are two static trackers (trackers that just report the initial position) written in C and C++ and a NCC tracker written in C++ and using OpenCV library.

All three trackers are using `vot.h` header that provides integration functions and classes that can be used to speed up the integration process. When compiling the tracker, the wrapper expects that `trax.h` is available and that the TraX library is found during tracker runtime.

Matlab
------

A NCC tracker example, written in Matlab is provided by the toolkit. The tracker uses `vot` function that generates a communication structure that is then used to communicate with the toolkit. It assumes that `traxserver` MEX file is available somewhere in the Matlab path.

Python
------

Both static and NCC tracker example, written in Python are provided by the toolkit. The tracker uses `vot.VOT` object that is then used to communicate with the toolkit. The wrapper assumes that the trax package is available in Python path. You can install the package using pip: `pip install vot-trax`.