https://github.com/blambrechtcodes/ascii

Converts live camera video into ASCII art and optionally displays the real-time video feed, demonstrating computer vision and ASCII art rendering using the OpenCV package.
https://github.com/blambrechtcodes/ascii

ascii-art cv2-library tuples-in-python video-processing

Last synced: 3 months ago
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Converts live camera video into ASCII art and optionally displays the real-time video feed, demonstrating computer vision and ASCII art rendering using the OpenCV package.

• Host: GitHub
• URL: https://github.com/blambrechtcodes/ascii
• Owner: BlambrechtCodes
• License: gpl-3.0
• Created: 2024-02-27T18:10:13.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-02-27T18:12:49.000Z (almost 2 years ago)
• Last Synced: 2024-02-27T19:29:36.277Z (almost 2 years ago)
• Topics: ascii-art, cv2-library, tuples-in-python, video-processing
• Language: Python
• Homepage:
• Size: 18.6 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Welcome To ASCII

This Program uses the OpenCV library (`cv2`) to capture video from a camera and display it as ASCII art in the console. Here's a breakdown of the key components:

1. **Imports**: The code imports the `cv2` library for computer vision and the `os` library for operating system-related functions.

2. **Settings**: The `SHOW_REAL_VIDEO` variable is a boolean flag that, when set to `True`, displays the real camera video in a side panel. When set to `False`, only the ASCII art representation is displayed in the console.

3. **Function Definitions**:

   - `convert_row_to_ascii(row)`: Converts a row of grayscale pixel values to ASCII characters.

   - `convert_to_ascii(input_grays)`: Converts a 2D array of grayscale pixel values to ASCII characters using the `convert_row_to_ascii` function.

   - `print_array(input_ascii_array)`: Clears the console and prints the ASCII representation of a 2D array of ASCII characters.

4. **Main Loop**:

   - Initializes a video capture object (`cap`) using `cv2.VideoCapture(0)` to capture video from the default camera (index `0`).

   - Enters a `while` loop that continues until the user presses the 'q' key.

   - Gets the screen size for reducing the video resolution.

   - Reads a frame from the camera (`cap.read()`) and converts it to grayscale using `cv2.cvtColor`.

   - Resizes the grayscale frame to match the screen resolution using `cv2.resize`.

   - Converts the resized frame to ASCII art using `convert_to_ascii` and prints it using `print_array`.

   - Optionally, displays the real video frame if `SHOW_REAL_VIDEO` is `True`.

   - Releases the video capture object (`cap.release()`) and closes all OpenCV windows (`cv2.destroyAllWindows()`) when the program is terminated.

Overall, the program continuously captures video from the camera, converts it to ASCII art, and displays it in the console or in a side panel, depending on the `SHOW_REAL_VIDEO` setting.