# face-marks

**Repository Path**: yinguobing/face-marks

## Basic Information

- **Project Name**: face-marks
- **Description**: Detect facial landmarks with TensorFlow and CoreML on iPhone.
- **Primary Language**: Swift
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-06-27
- **Last Updated**: 2026-07-06

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Face Marks
An iOS demo APP shows how to detect facial landmarks with CoreML and TensorFlow model.

For more details: https://yinguobing.com/facial-landmark-localization-by-deep-learning-port-to-ios-with-coreml/

![Screen shot](https://github.com/yinguobing/face-marks/raw/master/screenshot.png)


## Background
This repo is a part of my deep learning series posts. For all the posts please refer to the following links.

### 第一篇：基于深度学习的人脸特征点检测 - 背景

为什么我决定采用深度学习实现面部特征点检测。[阅读全文](https://yinguobing.com/facial-landmark-localization-by-deep-learning-background/)

### 第二篇：基于深度学习的人脸特征点检测 - 数据与方法

解决问题所需的数据来源与对应的方法。[阅读全文](https://yinguobing.com/facial-landmark-localization-by-deep-learning-data-and-algorithm/)

### 第三篇：基于深度学习的人脸特征点检测 - 数据集整理

从互联网获取的数据大多数情况下不是开箱即用的，这意味着我们需要对数据进行初步的整理，例如统计数据量、去除不需要的文件、必要的格式转换等。[阅读全文](https://yinguobing.com/facial-landmark-localization-by-deep-learning-data-collate/)

### 第四篇：基于深度学习的人脸特征点检测 - 数据预处理
如何使用Python从22万张图片中提取检测人脸特征点的可用样本。[阅读全文](https://yinguobing.com/facial-landmark-localization-by-deep-learning-preprocessing/)

### 第五篇：基于深度学习的人脸特征点检测 - 生成TFRecord文件
将面部区域的图片与特征点位置一起打包成TensorFlow可用的TFRecord文件。[阅读全文](https://yinguobing.com/facial-landmark-localization-by-deep-learning-tfrecord/)

### 第六篇：基于深度学习的人脸特征点检测 - 网络模型构建
如何使用TensorFlow构建一个属于你自己的神经网络模型。[阅读全文](https://yinguobing.com/facial-landmark-localization-by-deep-learning-network-model/)

### 第七篇：基于深度学习的人脸特征点检测-模型导出与应用
使用Estimator API时，导出适用于推演的网络模型的正确方法。[阅读全文](https://yinguobing.com/facial-landmark-localization-by-deep-learning-save-model-application/)

### 第八篇：基于深度学习的人脸特征点检测-移植到iPhone
如何通过CoreML在iPhone应用中使用TensorFlow模型。[阅读全文](https://yinguobing.com/facial-landmark-localization-by-deep-learning-port-to-ios-with-coreml/)

![dl-posts](https://yinguobing.com/content/images/2018/01/dl-posts.jpg)