opencv 62 hand detection mediapipe

25 fps

#hand.py

import os

import cv2

import mediapipe as mp

import time

cap = cv2.VideoCapture("assets/sign_language.mp4")

# Define the codec and create VideoWriter object

fps = 25.175

frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))

frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))

size = (int(frame_width), int(frame_height))

fourcc = cv2.VideoWriter_fourcc('m', 'p', '4', 'v')

path = 'C:/Users/zchen/PycharmProjects/opencv/googleNet/record'

out = cv2.VideoWriter()

success = out.open(os.path.join(path, "hand tracking mediapipe.mov"), fourcc, fps, size, True)

frame_count = 0

t1 = time.time()

mpHands = mp.solutions.hands

hands = mpHands.Hands()

mpDraw = mp.solutions.drawing_utils

while True:

    ret, frame = cap.read()

    if ret == False: break

    frame_RGB = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

    results = hands.process(frame_RGB)

    if results.multi_hand_landmarks:

        for handLms in results.multi_hand_landmarks:

            for id, lm in enumerate(handLms.landmark):

                #print(id, lm)

                h, w, c = frame.shape

                cx, cy = int(lm.x * w), int(lm.y * h)

                #print(id, cx, cy)

                #draw circle at thumb tip

                if id == 4:

                    cv2.circle(frame, (cx, cy), 15, (255, 0, 255), cv2.FILLED)

            mpDraw.draw_landmarks(frame, handLms, mpHands.HAND_CONNECTIONS)

    cv2.imshow("frame", frame)

    out.write(frame)

    frame_count += 1

    if cv2.waitKey(1) == ord('q'):

        break

    if cv2.waitKey(1) == ord('p'):

        cv2.waitKey(-1)  # wait until any key is pressed

t2 = time.time()

# calculate FPS

fps = str(float(frame_count / float(t2 - t1))) + ' FPS'

print("Frames processed: {}".format(frame_count))

print("Elapsed time: {:.2f}".format(float(t2 - t1)))

print("FPS: {}".format(fps))

cap.release()

cv2.destroyAllWindows()

#reference:

https://www.youtube.com/watch?v=NZde8Xt78Iw