screeny 0.4.1

A simple python library for working with screens and images.

Screeny

A simple python library for working with screens and images.

Installation

pip install screeny

Usage

from screeny import Screeny

sc = Screeny()
img = sc.take_screenshot()

API-Reference

• Screeny.get_mouse_pos
• Screeny.locate_image
• Screeny.read_text
• Screeny.take_screenshot

• Image.init
• Image.binarize
• Image.compute_descriptors
• Image.denoise
• Image.detect_features
• Image.detect_keypoints
• Image.get_data
• Image.invert
• Image.locate_image
• Image.match_features
• Image.read_text
• Image.resize
• Image.save
• Image.show
• Image.show_matches
• Image.to_grayscale
• Image.to_hsv

Screeny-class

Screeny.get_mouse_pos()

Returns the current position of the mouse as a tuple of xy-coordinates.

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Screeny.locate_image(image: str | np.ndarray | Image [, rect: Rect, confidence: float])

Search for an image on the screen. Returns the location of the found image in pixel or False, if no image was found.

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Screeny.read_text(rect: Rect)

Reads text from a given area on the screen. Returns the founded text as string.

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Screeny.take_screenshot([rect: Rect])

Takes a screenshot of the complete monitor or a given area as "rect". Returns an Image-Instance.

Image-Class

Image.init(image: str | np.ndarray | Image)

Creates a new instance of the Image-Class.

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Image.binarize(method: str[, threshold: int])

Binarize the image.

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Image.compute_descriptors()

Computes the descriptors of the image.

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Image.denoise()

Denoise the image.

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Image.detect_features()

Finds features (keypoints and descriptors) in the image.

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Image.detect_keypoints()

Finds the keypoints of the image.

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Image.get_data()

Returns the pixels as numpy-array.

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Image.invert()

Inverts the image.

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Image.locate_image(image_to_find: str | np.ndarray | Image[, confidence: float])

Locates an second image in the image and returns the position of the founded image or False if no image was found.

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Image.match_features(image_to_find: str | np.ndarray | Image)

Matches the features of the image with another image.

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Image.read_text([resize_factor: int, whitelist: str])

Reads the text from the image.

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Image.resize(factor: int)

Resizes the image with a given factor.

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Image.save(title: str[, path: str])

Saves the image on the disk in a given path with a given title. If no path is specified, the file be saved in the current active directory.

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Image.show([title: str])

Displays the image.

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Image.show_matches(image_to_find: str | np.ndarray | Image, matches: list)

Show the two images with matches as lines connect points.

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Image.to_grayscale()

Converts the image to grayscale.

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Image.to_hsv()

Converts the image to HSV.