frames to the beat

# https://youtu.be/XJnKIaGFvgc

import cv2
import numpy as np
from glob import glob
from time import time

files = glob('imgs/*') # running dog frames from https://youtu.be/Pqk86Oz6IXQ
offset = 167
start = 9 - 1
end = 19 - 1

imgs = []
for file in files:
    img = cv2.imread(file)
    img = cv2.resize(img, None, fx=0.5, fy=0.5)
    imgs.append(img)

bpm = 175
start_time = time()
mul = 1

while True:
    cur_time = time() - start_time
    cur_pos = (cur_time % (60 / bpm)) / (60 / bpm)
    cur_img = int(cur_pos * (end - start + 1)) + start
    cv2.imshow('win', imgs[cur_img])
    key = cv2.waitKey(1)
    if key == ord('s'):
        start_time = time()
    elif key == ord('x'):
        exit()