LiteCam for Python

LiteCam is a lightweight, cross-platform library for capturing RGB frames from cameras and displaying them. Designed with simplicity and ease of integration in mind, LiteCam supports Windows, Linux and macOS platforms. It integrates easily with image processing frameworks like OpenCV, making it a versatile choice for developers.

Features

• Capture RGB frames from video devices.
• Display live frames in a window.
• Draw contours and text directly on the displayed frames.
• Simple API for quick integration.

Supported Platforms

• Windows
• Linux
• macOS

How to Build the CPython Extension

• Development Mode

  python setup.py develop

• Wheel Package

  python setup.py bdist_wheel

• Source Distribution

  python setup.py sdist

Usage

Basic Example

import litecam

camera = litecam.PyCamera()

if camera.open(0):

    window = litecam.PyWindow(
        camera.getWidth(), camera.getHeight(), "Camera Stream")

    while window.waitKey('q'):
        frame = camera.captureFrame()
        if frame is not None:
            width = frame[0]
            height = frame[1]
            size = frame[2]
            data = frame[3]
            window.showFrame(width, height, data)

    camera.release()

API Overview

• getDeviceList(): Lists available video capture devices.
• saveJpeg(filename, width, height, rgbdata): Saves the frame as a JPEG image.

PyCamera

• open(index): Opens the camera with the specified index.
• listMediaTypes(): Lists supported media types.
• setResolution(int width, int height): Sets the resolution for the camera.
• captureFrame()`: Captures a single RGB frame.
• release(): Closes the camera and releases resources.
• getWidth(): Returns the width of the frame.
• getHeight(): Returns the height of the frame.

PyWindow

• waitKey(key): Waits for user input; returns false if the specified key is pressed or the window is closed.
• showFrame(width, height, rgbdata): Displays an RGB frame.
• drawContour(points): Draws contours on the frame.
• drawText(text, x, y, fontSize, color): Draws text on the frame.