CVTech - Computer Vision Package

Author: Prasoon Patel

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This is a Computer vision package that uses Image processing using OpenCV and Artificial Intelligence using Mediapipe, TensorFlow, Keras functions.

Getting Started

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cvtech package can be installed in your python environment using pip.

pip install cvtech

and it also can be upgraded to latest version using :

pip install cvtech --upgrade

Currently, cvtech package is having the solution for below modules:

• Hand Detection
• Face Detection
• Face Mesh Detection
• Human Body Tracking
• Video background change.

User Guide

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Hand Detection

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def main():
    cap = cv2.VideoCapture(0)
    detector = HandDetector()
    while True:
        success, img = cap.read()
        hands, img = detector.find_hands(img)

        if hands:
            hand1 = hands[0]
            lm_list1 = hand1["lm_list"]
            fingers1 = detector.fingers_up(hand1)

            if len(hands) == 2:
                hand2 = hands[1]
                lm_list2 = hand2["lm_list"]
                fingers2 = detector.fingers_up(hand2)
                length, info, img = detector.find_distance(lm_list1[8], lm_list2[8], img)

        cv2.imshow("Image", img)
        cv2.waitKey(1)


if __name__ == "__main__":
    main()

Hand Landmarks:

Face Detection

[]

def main():
    cap = cv2.VideoCapture(0)
    detector = FaceDetector()
    while True:
        success, img = cap.read()
        img, bboxs = detector.find_faces(img)

        cv2.imshow("Image", img)
        cv2.waitKey(1)


if __name__ == "__main__":
    main()

Face Mesh Detection

[]

def main():
    cap = cv2.VideoCapture(0)
    detector = FaceMeshDetector()
    while True:
        success, img = cap.read()
        img, faces = detector.find_faceMesh(img, draw=False)

        if faces:
            print(faces[0])

        cv2.imshow("Image", img)
        cv2.waitKey(1)


if __name__ == "__main__":
    main()

Human body Detection

[]

def main():
    cap = cv2.VideoCapture(0)
    detector = HumanDetector()
    while True:
        success, img = cap.read()
        img = detector.find_humans(img)

        cv2.imshow("Image", img)
        cv2.waitKey(1)


if __name__ == "__main__":
    main()

Video Background Change

def main():
    cap = cv2.VideoCapture(0)
    detector = SelfieSegmentation()
    bg_image = cv2.imread('C:/Users/praso/Downloads/1.jpg')
    while True:
        success, img = cap.read()
        img = detector.remove_bg(img, img_bg=bg_image, threshold=0.8)

        cv2.imshow("Image", img)
        cv2.waitKey(1)


if __name__ == "__main__":
    main()