opencv 63 gesture volume

#guesture.py

import os

import cv2

import mediapipe as mp

import time

import numpy as np

import math

cap = cv2.VideoCapture("assets/guesture.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))

print(size)

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, "guesture volume.mov"), fourcc, fps, size, True)

mpHands = mp.solutions.hands

hands = mpHands.Hands()

mpDraw = mp.solutions.drawing_utils

pTime = 0

while True:

    ret, frame = cap.read()

    if ret == False: break

    cTime = time.time()

    fps = 1/(cTime - pTime)

    pTime = cTime

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

    results = hands.process(frame_RGB)

    cv2.putText(frame, f'FPS: {int(fps)}', (100, 100), cv2.FONT_HERSHEY_COMPLEX, 3,

                                            (255, 0, 0), 3)

    h, w, c = frame.shape

    vol = 0

    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)

            """

            h_marks = handLms.landmark

            #print(h_marks[4], h_marks[8])

            x1, y1 = int(h_marks[4].x * w), int(h_marks[4].y * h)

            x2, y2 = int(h_marks[8].x * w), int(h_marks[8].y * h)

            cx, cy = (x1+x2)//2, (y1+y2)//2

            #print(x1, y1)

            cv2.circle(frame, (x1, y1), 30, (255, 0, 255), cv2.FILLED)

            cv2.circle(frame, (x2, y2), 30, (255, 0, 255), cv2.FILLED)

            cv2.line(frame, (x1, y1), (x2, y2), (255, 0, 255), 3)

            cv2.circle(frame, (cx, cy), 30, (255, 0, 255), cv2.FILLED)

            length = math.hypot(x2 - x1, y2 - y1)

            #print(length)

            if length < 100:

                cv2.circle(frame, (cx, cy), 30, (0, 255, 0), cv2.FILLED)

            vol = np.interp(length, [100, 800], [100, 1000])

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

        cv2.rectangle(frame, (100, 200), (1000, 300), (255, 0, 0), 3)

        cv2.rectangle(frame, (100, 200), (int(vol), 300), (255, 0, 0), cv2.FILLED)

        cv2.putText(frame, f'Vol: {int((vol-100)//9)}%', (600, 100), cv2.FONT_HERSHEY_COMPLEX, 3,

                    (255, 0, 0), 3)

    cv2.imshow("frame", frame)

    out.write(frame)

    if cv2.waitKey(1) == ord('q'):

        break

    if cv2.waitKey(1) == ord('p'):

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

cap.release()

cv2.destroyAllWindows()

reference:

https://www.youtube.com/watch?v=9iEPzbG-xLE&t=3s

hand detection

https://chuanshuoge3.blogspot.com/2021/06/opencv-62-hand-detection-mediapipe.html