https://github.com/julianfbeck/hand_recognition
Handpose recognition to trigger Windows System Actions
https://github.com/julianfbeck/hand_recognition
Last synced: about 2 months ago
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Handpose recognition to trigger Windows System Actions
- Host: GitHub
- URL: https://github.com/julianfbeck/hand_recognition
- Owner: julianfbeck
- License: mit
- Created: 2019-08-01T11:45:59.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2021-03-11T09:18:49.000Z (about 4 years ago)
- Last Synced: 2025-02-06T05:33:07.366Z (4 months ago)
- Language: Python
- Homepage:
- Size: 23 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Handpose regognition programmm

A real-time object recognition application using [Google's TensorFlow Object Detection API](https://github.com/tensorflow/models/tree/master/research/object_detection) and [OpenCV](http://opencv.org/).
This Repo is based on [datitran](https://github.com/datitran) [Object-Detector-App](https://github.com/datitran/object_detector_app).
We trained our model on different hand poses using the [IBM cloud-annotation traing CLI](https://github.com/cloud-annotations/training)
To trigger system action we used multiple poses.## Getting Started
1. `conda env create -f environment.yml`
2. `python object_detection_multithreading.py`## Requirements
- [Anaconda / Python 3.5](https://www.continuum.io/downloads)
- [TensorFlow 1.2](https://www.tensorflow.org/)
- [OpenCV 3.0](http://opencv.org/)