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A simple way to use Mediapipe hand features.

Project description

Hand-Detector Module

Simple python package to simply use mediapipe hand detection.

Authors

Installation

Install Hand-Detector with pip

  pip install hand-detector

Usage/Examples

import hand_detector
import time

timeS = time.time()

class_obj = hand_detector.HandDetector()
cam = class_obj.init_cam()

while cam.isOpened():
    success, image = cam.read()
    if not success: continue

    detected_hand = class_obj.findHand(image, draw_detect=False)
    hand_landmark = class_obj.findLocations(image, draw_id=8)

    if hand_landmark[0] and hand_landmark[1]:
        # print(hand_landmark[0][8])

        finger_ups = class_obj.fingerUp(hand_landmark[0])
        # print(finger_ups)

        boundry = hand_landmark[1]
        cv2.rectangle(image, (boundry[0], boundry[1]), (boundry[2], boundry[3]), (0, 255, 255), 2)

    timeE = time.time()
    fps = int(1 / (timeE - timeS))
    timeS = timeE
    cv2.putText(image, str(f'FPS : {fps}'), (10, 30), 4, 1, (0, 255, 255), 3)
    cv2.imshow('Hand Detection - Chanchal Roy', image)
    if cv2.waitKey(1) & 0xff == ord('q'): break

cam.release()
cv2.destroyAllWindows()

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