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Computer Vision Project | Analog Clock using OPENCV-PYTHON | Mathematical Project | Full Explained

Introduction to Project

Welcome to the world of captivating Python programming! In this blog, we delve into the realm of OpenCV, a powerful computer vision library, to craft an engaging analog clock project. Python, renowned for its simplicity and versatility, seamlessly integrates with OpenCV, offering a canvas for innovative projects. This tutorial not only unveils the magic of creating a visually appealing analog clock but also serves as a stepping stone for enthusiasts diving into the realm of OpenCV Python projects. As we unravel the code, we’ll explore the intricacies of time representation, hands-on drawing techniques, and the artistic fusion of digital and analog elements. Join us on this coding journey, and let’s transform Python into a canvas for dynamic and visually compelling projects.

 

Flow of the Article

  1. Introduction to OpenCV and Python: Briefly introduce OpenCV and its integration with Python, emphasizing the versatility of Python for creative projects.

  2. Understanding the Constants and Helper Functions: Break down the initial code snippets, explaining the essential constants, such as colors and dimensions, and delve into the helper functions that lay the foundation for the clock project.

  3. Creating the Canvas and Drawing Hour Ticks: Explore the process of setting up the canvas, drawing the hour ticks, and adding decorative elements to enhance the clock’s visual appeal.

  4. Crafting the Clock Hands: Dive into the logic behind drawing the clock hands based on the current time, utilizing the datetime module to fetch real-time information.

  5. Digital Time Representation: Showcase the integration of digital time representation, highlighting the function responsible for converting time into a suitable format.

  6. Running the Clock: A Continuous Display Loop: Walk through the main loop responsible for continuously updating and displaying the clock face, allowing users to experience the project in real-time.

  7. Conclusion and Further Exploration: Sum up the blog, congratulating readers on their achievement, and encourage further exploration and customization of the project to enhance their Python and OpenCV skills.

By the end of this tutorial, readers will not only have a functional analog clock but also a solid foundation for tackling more complex OpenCV Python projects. Let’s embark on this coding adventure together!

 

Complete Video Explanation:

 

Project Github Repository: Code

1. Importing Modules and Constants

import cv2
import datetime
import math

from constants import COLORS
from constants import RADIUS
from constants import CENTER

Here, we import necessary modules (OpenCV, datetime, and math) and constants for colors, radius, and the center of the clock.

 

2. Helper Functions

a. get_ticks()

def get_ticks():
# … Check the github repo Above
return hours_init, hours_dest

This function calculates the initial and destination points for each hour tick on the clock face.

b. getDigitalTime(h, m, s)

def getDigitalTime(h, m, s):
# …
return time

Converts the time into a suitable digital representation.

c. draw_time(image)

def draw_time(image):
# …
return image

Draws the clock hands based on the current time.

3. Clock Drawing and Display

image = np.zeros(CANVAS_SIZE, dtype=np.uint8)
image[:] = [255, 255, 255]

hours_init, hours_dest = get_ticks()

for i in range(len(hours_init)):
# Draw hour ticks
if i % 5 == 0:
cv2.line(image, hours_init[i], hours_dest[i], COLORS[‘black’], 3)
else:
cv2.circle(image, hours_init[i], 5, COLORS[‘gray’], -1)

# Draw decorations
cv2.circle(image, (320, 320), RADIUS + 10, COLORS[‘yellow’], 2)
cv2.putText(image, “TITAN”, (215, 230), cv2.FONT_HERSHEY_TRIPLEX, 2, COLORS[‘dark_gray’], 1, cv2.LINE_AA)

4. Main Loop

while True:
image_original = image.copy()

# Draw clock hands
clock_face = draw_time(image_original)

# Show the clock
cv2.imshow(‘clock’, image_original)
if cv2.waitKey(1) == ord(‘q’):
break

cv2.destroyAllWindows()

The main loop continuously updates and displays the clock face. It exits when the user presses ‘q’.

Conclusion

Congratulations! You’ve successfully created an analog clock using OpenCV in Python. This project not only enhances your Python programming skills but also provides a practical example of utilizing computer vision for creative applications. Feel free to customize and expand upon this project to add more features or improve its aesthetics. Happy coding!

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