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Commit afb75a5

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Some updates
* Add "Image Edge Detection" example * Update "Video Capture" example
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‎README.md

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* [Circle Calculator](circle-calculator)
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* [Hello World](hello-world)
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* [Image Edge Detection](image-edge-detection)
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* [Number Guess Game](number-guess-game)
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* [Random Number Generator](random-number-generator)
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* [Rock Paper Scissors](rock-paper-scissors)

‎image-edge-detection/.gitignore

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image.jpg

‎image-edge-detection/README.md

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# Image Edge Detection
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An simple image edge detection program
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Copyright (c) 2024 Ercan Ersoy
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This example detects edges and captures an image from first webcam.
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# Image Edge Detection - A simple image edge detection program
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# Copyright (c) 2024 Ercan Ersoy
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# This file licensed under MIT License.
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# Write this code using ChatGPT and GitHub CoPilot.
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# Imports
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import cv2
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import numpy as np
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import sys
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# Initialize video capture
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capture = cv2.VideoCapture(0)
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# Check if the webcam is opened correctly
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if not capture.isOpened():
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# Print error message
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print("Error: Could not open webcam.", file=sys.stderr)
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# Exit the program
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exit()
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ret, image = capture.read()
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# If frame is not read correctly
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if not ret:
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# Print error message
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print("Error: Failed to capture frame.", file=sys.stderr)
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# Exit the program
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exit()
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# Convert the image to grayscale
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image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
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# Apply median blur to the image
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image = cv2.medianBlur(image, 5)
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# Define a kernel
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kernel = np.array([[-1, -1, -1],
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[-1, 9, -1],
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[-1, -1, -1]])
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# Apply the kernel to the image
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image = cv2.filter2D(image, -1, kernel)
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# Apply Gaussian blur to the image
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image = cv2.GaussianBlur(image, (5, 5), 0)
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# Apply Canny edge detection to the image
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image = cv2.Canny(image, 100, 200)
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# Save the image
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cv2.imwrite("image.jpg", image)

‎video-capture/video-capture.py

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# video Capture - An simple video capture program
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# Video Capture - An simple video capture program
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# Copyright (c) 2024 Ercan Ersoy
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# This file licensed under MIT License.
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# Write this code using ChatGPT.
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# Write this code using ChatGPT and GitHub CoPilot.
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# Imports
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import cv2
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# Check if the webcam is opened correctly
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if not capture.isOpened():
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# Print error message
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print("Error: Could not open webcam.", file=sys.stderr)
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# Exit the program
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exit()
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# Continuously capture frames
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while True:
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# Read the frame
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ret, frame = capture.read()
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# If frame is read correctly ret is True
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# If frame is not read correctly
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if not ret:
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print("Error: Failed to capture frame.", file=sys.stderr)
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break
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exit()
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# Display the frame
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cv2.imshow('Frame', frame)
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# Wait for a key press
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key_code = cv2.waitKey(1)
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# Break the loop if ESC is pressed

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