# Calico

**Repository Path**: jamin1214/Calico

## Basic Information

- **Project Name**: Calico
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: mainline
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-08-12
- **Last Updated**: 2025-08-12

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<p align="center">
    <a href='https://github.com/MShawon/github-clone-count-badge'><img alt='GitHub Clones' src='https://img.shields.io/badge/dynamic/json?color=success&label=Clone&query=count&url=https://gist.github.com/yangjames/76734b6ff683c36299b8efb86438dfc9/raw/clone.json&logo=github'></a>
</p>

<p align="center">
<img src="https://user-images.githubusercontent.com/4121640/229179345-57bafb62-6391-498c-8d01-dbe86f8d54d1.png" width="300">
</p>

# Calico

Calico is a lightweight visual-inertial calibration library that allows for rapid problem construction, debugging, and tool creation. Unlike other codebases that are limited to standalone calibration tools for specific hardware setups, Calico is a flexible library that enables **building and modifying custom tools** to suit your hardware requirements. If your calibration problem aligns with our geometry paradigm, there is no need to modify the underlying optimization.

Calico features:

- Flexible auto-differentiable cost functors.
- Sensor intrinsics, extrinsics, and latency estimation.
- The ability to add multiple sensors.
- Measurement outlier tagging and exclusion.
- Per-sensor robustifier kernels.
- Ability to create custom sensor models.

Check out our [wiki pages](https://github.com/yangjames/Calico/wiki) for more info.

# License
Poor sensor calibration is a problem endemic to robotics, yet it's typically not given enough attention because it tends to detract from higher level project goals. The purpose of this library is to help roboticists quickly resolve their calibration issues so that they can move on to more interesting things. This library is hereby granted the MIT license, to be used free of charge by anyone within academia or industry.

To the best of my knowledge, all library dependencies also fall under BSD 2/3, LGPL, or Apache 2.0.

## MIT License

Copyright (c) 2023 James Yang

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.