cvhaardetectobjects - Python

cvhaardetectobjects is a Python library that provides the ability to detect objects in images using Haar cascades. It is an implementation of the popular Haar Cascade algorithm that is widely used in computer vision applications.

Features

• An easy-to-use Python interface for detecting objects in images using Haar cascades.
• A powerful and efficient implementation of the Haar Cascade algorithm.
• High accuracy and reliability when detecting objects in images.

Installation

cvhaardetectobjects can be installed using pip:

pip install cvhaardetectobjects

Usage

The following code snippet shows how to use cvhaardetectobjects to detect faces in an image:

import cv2
from cvhaardetectobjects import detect_faces

# Load the input image
image = cv2.imread("input.jpg")

# Detect faces in the image
faces = detect_faces(image)

# Draw a rectangle around each face
for (x, y, w, h) in faces:
    cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)

# Save the output image
cv2.imwrite("output.jpg", image)

The above code reads the input image, detects faces in the image using cvhaardetectobjects:detect_faces function, and then draws a rectangle around each face. Finally, it saves the output image.

Conclusion

cvhaardetectobjects is a powerful and easy-to-use Python library for detecting objects in images using Haar cascades. Its efficient implementation and high accuracy make it a great choice for a wide range of computer vision applications.