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https://github.com/tucan9389/fingertipestimation-coreml

Detect fingertip by using machine learning for pose estimation
https://github.com/tucan9389/fingertipestimation-coreml

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Detect fingertip by using machine learning for pose estimation

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# FingertipEstimation-CoreML
Detect fingertip by using machine learning for pose estimation.

![fingertip_estimation_demo003](resource/fingertip_estimation_demo003.gif)

‼️ I don't provide core ml model for estimation. You can get model through training with your own dataset. ‼️

## How it works

![how_it_works](resource/how_it_works.png)

## Build & Run

### 1. Prerequisites

#### 1.1 Prepare your own Core ML model

![prerequest_002_mlmodel](resource/prerequest_002_mlmodel.png)

#### 1.2 Add permission in info.plist for device's camera access

![prerequest_001_plist](resource/prerequest_001_plist.png)

### 2. Dependencies

No external library yet.

## See also

- [motlabs/iOS-Proejcts-with-ML-Models](https://github.com/motlabs/iOS-Proejcts-with-ML-Models)

: The challenge using machine learning model created from tensorflow on iOS
- [edvardHua/PoseEstimationForMobile](https://github.com/edvardHua/PoseEstimationForMobile)

: TensorFlow project for pose estimation for mobile
- [tucan9389/PoseEstimation-CoreML](tucan9389/PoseEstimation-CoreML)

: Parent project for this repository. You can run with [provided model from PoseEstimationForMobile repo](https://github.com/edvardHua/PoseEstimationForMobile/tree/master/release).
- [KeypointAnnotation](https://github.com/tucan9389/KeypointAnnotation)(preparing...)

: Annotation tool for own custom estimation dataset