Task 5

[gitfrandu4]

Script:

import cv2
import numpy as np
import matplotlib.pyplot as plt

# Initialize variables
vid = cv2.VideoCapture('AyagauresResult.m4v')
font = cv2.FONT_HERSHEY_SIMPLEX
initial_frame = None

while(True):
    ret, frame = vid.read()
    if ret:
        # Convert frame to grayscale with shape
        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
        
        # Find the darkest and brightest pixels
        min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(gray)
        
        # Mark the darkest pixel
        cv2.circle(frame, min_loc, 5, (255, 0, 0), 2)  # Blue circle
        cv2.putText(frame, 'Darkest', (min_loc[0] + 5, min_loc[1] - 5), font, 0.5, (255, 0, 0), 2)
        
        # Mark the brightest pixel
        cv2.circle(frame, max_loc, 5, (0, 0, 255), 2)  # Red circle
        cv2.putText(frame, 'Brightest', (max_loc[0] + 5, max_loc[1] - 5), font, 0.5, (0, 0, 255), 2)
        
        # Display the frame
        cv2.imshow('Cam', frame)

        if initial_frame is None:
            plt.imshow(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))
            plt.axis('off')
            plt.show()
            initial_frame = frame
        
    if cv2.waitKey(20) == 27: 
        break

vid.release()
cv2.destroyAllWindows()

Resultado: