HandDetector-cc 0.0.7

A simple way to use Mediapipe hand features.

HandDetector-cc Module

Simple python package to simply use mediapipe hand detection.

Author Details

Name : Chanchal Roy

Email : [e-mail]

GitHub Project Details

Project : HandDetector-cc

Installation

Install HandDetector-cc with pip

  pip install HandDetector-cc

Usage

import time

timeS = time.time()

class_obj = 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=True)
    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()
        # print(finger_ups)

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

        distance = class_obj.findDistance(image, 8, 12)
        print(distance)

    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()