Image Manipulation (ID Card) Automation

Project Information :

• Copyright : Azmine Toushik Wasi
• Owner : Azmine Toushik Wasi
• Working Principle:
  • It first loads the image.
  • Detects face using OpenCV.
  • Adjusts the face with some free space, crops it and saves it in ./auto_crooped/.
  • Loads the template, places everything accordingly.
  • Saves as both image and pdf file.

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Working Example

The working example is demonstracted using 10 Minute School ID Card template.

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Information in Database.xlsx file

Name	id	Designation
Azmine Toushik Wasi	03.png	Project Executive
Leonardo Dcaprio	02.jpeg	Project Manager
Lal Singh Chadda	01.png	Project Executive

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Frame and Input Images

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Designed ID Cards

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Do not use without permission.

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How to use (Procedure)

• Collect dataset file as Database.xlsx
• collect images and put them in ./images/
• Set database and column information

form = pd.read_excel("Database.xlsx")
name_list = form['Name'].to_list()
id_list=form['id'].to_list()
designation_list=form['Designation'].to_list()
total = len(name_list)

• Collect fonts and put them in ./font/, and set font locations.

font = ImageFont.truetype("./font/Poppins-Medium.ttf", 38)  
font2 = ImageFont.truetype("./font/Poppins-Regular.ttf", 24)

• Load base image

im = Image.open("0BaseFrame.png")

• Set heights and positions of texts.

MAX_H2,MAX_W2 = 1004,651
current_h2, pad2 = 270, 5

• Change image pasting location if necessary.

saveimg.paste(person_nBG, (0,353),person_nBG)

• Run main.py.

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Do not use without permission.

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Developed by Azmine Toushik Wasi

Machine Learning Researcher | Exploring Machine Learning & Data Science | Kaggle Notebooks Grandmaster | Tech Writer | Reader

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Get Connected :

• Linkedin : https://www.linkedin.com/in/azminewasi/
• GitHub: https://github.com/azminewasi

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Do not use without permission.

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