ARCHIVES

1. "Practical Python and OpenCV" Author: Adrian Rosebrock Edition: Third Edition (2018).
2. "Deep Learning for Computer Vision with Python" Author: Adrian Rosebrock Edition: First Edition (2018[3).
3. "Python Computer Vision: Develop practical computer vision projects with the Python ecosystem" Author: Gabriel Garrido Calvo
Edition: First Edition (2020).
4. "Hands-On Computer Vision with TensorFlow 2: Leverage deep learning to create powerful image processing apps with
TensorFlow 2.0 and Keras" Author: Benjamin Planche and Eliot Andres. Edition: First Edition (2020).
5. "Programming Computer Vision with Python: Tools and algorithms for analyzing images" Author: Jan Erik Solem Edition: First
Edition (2012).
6. "Hands-On Image Processing with Python: Expert techniques for advanced image analysis and effective interpretation of image
data" Author: Sandipan Dey Edition: First Edition (2018).
7. "Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and
TensorFlow" Author: Ivan Vasilev and Daniel Slater Edition: First Edition (2019).
8. "Mastering OpenCV 4 with Python:Author: Alberto Fernandez Villan Edition: First Edition (2019).
9. "Deep Learning for Vision Systems" Author: Mohamed Elgendy Edition: First Edition (2018).
10. https://www.w3schools.com/python/
11. https://www.geeksforgeeks.org/python-basics/
12. https://realpython.com/tutorials/projects/
13. https://www.geeksforgeeks.org/opencv-python-tutorial/
14. https://data-flair.training/blogs/python-project-real-time-human-detection-counting/
15. https://www.geeksforgeeks.org/human-activity-recognition-with-opencv/