FACE RECOGNITION PROGRAM IN PYTHON
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https://doi.org/10.5281/zenodo.17578508##semicolon##
python, matplotlib, opencv-python, jupyter, numpy, pandas, pytorch, array, pseudocolor schemas##article.abstract##
The Python programming language has undergone significant transformations in recent years, expanding its
applications across multiple fields. Today, Python is regarded as one of the most reliable programming languages in Data
Science, Deep Learning, Machine Learning, Computer Vision, and Artificial Intelligence. In these domains, especially in
working with data and neural networks, visualization of problem solutions plays a crucial role in evaluating accuracy. The
Matplotlib library provides a convenient framework for creating visual representations. This dissertation focuses on the
fundamentals of image processing, including image size analysis and contrast adjustment techniques.
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1. A. Müller, S. Guido. An introduction to machine learning with Python. IC “Gevissta”, 2017.
2. A. Rosebrock. Deep Learning for Computer Vision with Python. Practitioner Bundle. 1st Edition. PyImageSearch
(www.PyImageSearch.com ), 2017.
3. A. Sweigart. Automate the Boring Stuff with Python. Practical Programming for Total Beginners. San Francisco, 2015.
4. A.B. Barsky. Neural networks: recognition, control, decision making. - Moscow: “Finance and Statistics”, 2004
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