mohit-0212

#After setting up, dejavu locally on my machine
#Credits and Reference: https://github.com/worldveil/dejavu
import warnings
import json
import subprocess
import moviepy.editor as mp

warnings.filterwarnings("ignore")

from dejavu import Dejavu

mohit-0212

import cv2
import numpy as np
import matplotlib.pyplot as plt
from skimage.measure import compare_ssim

vid_frame = cv2.VideoCapture('/path for/video file/')
cover = cv2.cvtColor(cv2.imread('/path for/cover image/'), cv2.COLOR_BGR2GRAY)

length = vid_frame.get(cv2.CAP_PROP_FRAME_COUNT)
fps = vid_frame.get(cv2.CAP_PROP_FPS)

mohit-0212

import subprocess
import numpy as np
import scipy
import librosa
import matplotlib.pyplot as plt

file_input = "/path for/video file/"
file_output = "/path for/output audio file.wav/"

command = "ffmpeg -i " + file_input +" -t 300 -codec:a pcm_s16le -ac 1 "+ file_output #converts the first 5 minutes of video file to wav output

mohit-0212

import cv2
import numpy as np
import matplotlib.pyplot as plt

vid_frame = cv2.VideoCapture('/path for/video file/')

length = vid_frame.get(cv2.CAP_PROP_FRAME_COUNT)
fps = vid_frame.get(cv2.CAP_PROP_FPS)

num_frames = int(fps*300) #number of frames in first 5 minutes