visionlit 1.0.11

A Python library implementing Visionlit computer vision methods with model access.

Visionlit Package

Overview

Visionlit is a Python package designed for advanced computer vision tasks. It provides a robust command-line interface and can be seamlessly integrated into Python scripts for a variety of operations including image segmentation, colorization, face ID verification, and smart object detection.

For more information and live examples, please visit our web platform at myvisionlit.com.

To interact with the methods provided by Visionlit, you will need to create an account on this platform to obtain an API key.

Features

• Image Segmentation: Implement custom segmentation masks.
• Black and White Conversion: Convert color images or videos into grayscale.
• Colorization: Reintroduce color into grayscale images using machine learning.
• Smart Object Detection: Detect and identify objects within images, with options for custom display styles and color filters.
• Face ID Verification: Compare faces between two images to verify identity, useful in security and authentication.
• Identity Data Extraction: Extract and classify identity data from ID cards for specific supported countries.

Installation

To install Visionlit, run the following command:

pip install visionlit

Usage

Command Line Interface

List Available Methods

To display all executable methods:

visionlit --list

Execute Specific Method

To run a specific method on an image:

visionlit <api_key> <image_path> <method_name> [--display] [--confidence] [--option] [--color] [--country] [--to_compare]

Parameters:

• api_key: Your API key for authentication.
• image_path: Path to the image file.
• method_name: The name of the method to execute.
• display: Type of display for detection results (e.g., Boxes, Masks).
• confidence: Confidence level for detection accuracy.
• option: Specific processing options.
• color: Color filter for object detection in "Masks" display type.
• country: Country code for ID card processing.
• to_compare: Path to an additional image file for face comparison.

As a Python Module

Example of using Visionlit in a Python script:

import os
import sys
from visionlit import Visionlit


print(dir(Visionlit))
if __name__ == "__main__":
    key = "56daa10w355169f608ced4b179286efdddd6860634h239jf61f6a38f20b98"
    vision = Visionlit(key)
    try:
        result = vision.segment_image("path to image or directory")
        print(result)
    except ValueError as e:
        print(e)