https://github.com/rhidoyhasanmahmud/attendance-system
https://github.com/rhidoyhasanmahmud/attendance-system
image-detection image-processing image-recognition opencv python3
Last synced: about 1 year ago
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- Host: GitHub
- URL: https://github.com/rhidoyhasanmahmud/attendance-system
- Owner: rhidoyhasanmahmud
- Created: 2019-04-02T17:58:05.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-04-03T03:08:47.000Z (about 7 years ago)
- Last Synced: 2024-07-12T16:25:00.212Z (almost 2 years ago)
- Topics: image-detection, image-processing, image-recognition, opencv, python3
- Language: Python
- Size: 34.5 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Employee Attendance System
## Software Setup
**Step 2.1: Install Python**
The code in this article is built using Python version 3.6.4 Although there are multiple ways to install Python, I would recommend using Anaconda – the most popular Python distribution for data science.
**Step 2.2: Install OpenCV**
OpenCV (Open Source Computer Vision) is a library aimed at building computer vision applications. It has numerous pre-written functions for image processing tasks. To install OpenCV, do a pip install of the library:
```
pip3 install opencv-python
```
**Step 2.3: Install face_recognition API**
Finally, we will use face_recognition, dubbed as the world’s simplest facial recognition API for Python. To install:
```
pip install dlib
pip install face_recognition
```