BossSensor

Hide your screen when your boss is approaching.

Demo

The boss stands up. He is approaching.

When he is approaching, the program fetches face images and classifies the image.

If the image is classified as the Boss, it will monitor changes.

Requirements

• WebCamera
• Python3.5
• OSX
• Anaconda
• Lots of images of your boss and other person image

Put images into data/boss and data/other.

Usage

First, Train boss image.

$ python boss_train.py

Second, start BossSensor.

$ python camera_reader.py

Install

Install OpenCV, PyQt4, Anaconda.

conda create -n venv python=3.5
source activate venv
conda install -c https://conda.anaconda.org/menpo opencv3
conda install -c conda-forge tensorflow
pip install -r requirements.txt

Change Keras backend from Theano to TensorFlow.

Licence

MIT

Author

Hironsan

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Modified Info

Detail

Test the latest library operation. Modified to work with PyQt5 최신 라이브러리 동작 테스트 완료. PyQt5에서 작동하도록 수정 됨 最新のライブラリ動作テスト完了。 PyQt5で動作するように修正されました。

Tested Enviorment

• macOS Sierra 10.12.3
• Macbook Pro 2016 Late 15inch
• Python 3.5
• iSight(Macbook Pro Included)
• OpenCV3
• Anaconda (miniconda3)
• PyQt5

Usage

You can install and use the same as [Hironsan] (https://github.com/Hironsan).

Hironsan님의 원문과 동일하게 설치 및 사용이 가능합니다.

[Hironsan]（https://github.com/Hironsan）さんの原文と同じようにインストールして使用が可能です。

Must Check and Edit Here!!! Tips

If you can not run, please be sure to modify the path below.

실행 할 수 없는 분은 아래의 경로를 반드시 수정하세요.

実行することができない方は、以下のパスを必ず変更してください。

in camera_reader.py : cascade_path = "/usr/local/opt/opencv/share/OpenCV/haarcascades/haarcascade_frontalface_default.xml"

Change To Your OpenCV Installed Dir.

당신의 OpenCV 설치 디렉토리로 변경하십시오.

あなたのOpenCVインストールディレクトリに変更してください。

/usr/local/opt/opencv/share/OpenCV/haarcascades/ -> Your Dir. 당신의 Dir. あなたのDir.

About face recognition performance

To improve face recognition performance, you need a lot of pictures to learn. Though it is introduced in the original author's blog, it is necessary to acquire the understanding of the subject, and at least a few hundred sheets and a maximum of about 1,500 sheets of photographing images.

얼굴 인식 성능을 올리려면 학습할 때 아주 많은 사진이 필요합니다. 원작자의 블로그에서도 소개하고 있지만, 피사체의 양해를 구해 최소 몇백장 최대 1500장 가량의 다각도 촬영 이미지가 필요합니다.

顔認識の性能を上げるには、学習したときに、非常に多くの写真が必要になります。 原作者のブログでも紹介しているが、被写体の了解を求め、最小数百枚、最大1500枚ほどの多角撮影画像が必要になります。

Modify by

Kpaper