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A python script to automatically summarize soccer videos based on the crowd's reactions
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# | |
# This Python script makes a summary of a football game by cutting | |
# the video around the 10 % loudest moments, which generally | |
# include the goals and other important events. | |
# For more details, see this blog post: | |
# http://zulko.github.io/blog/2014/07/04/automatic-soccer-highlights-compilations-with-python/ | |
# | |
# LICENCE: Creative Commons 0 - Public Domain | |
# I, the author of this script, wave any rights and place this work in the public domain. | |
# | |
import numpy as np # for numerical operations | |
from moviepy.editor import VideoFileClip, concatenate | |
clip = VideoFileClip("soccer_game.mp4") | |
cut = lambda i: clip.audio.subclip(i,i+1).to_soundarray(fps=22000) | |
volume = lambda array: np.sqrt(((1.0*array)**2).mean()) | |
volumes = [volume(cut(i)) for i in range(0,int(clip.audio.duration-2))] | |
averaged_volumes = np.array([sum(volumes[i:i+10])/10 | |
for i in range(len(volumes)-10)]) | |
increases = np.diff(averaged_volumes)[:-1]>=0 | |
decreases = np.diff(averaged_volumes)[1:]<=0 | |
peaks_times = (increases * decreases).nonzero()[0] | |
peaks_vols = averaged_volumes[peaks_times] | |
peaks_times = peaks_times[peaks_vols>np.percentile(peaks_vols,90)] | |
final_times=[peaks_times[0]] | |
for t in peaks_times: | |
if (t - final_times[-1]) < 60: | |
if averaged_volumes[t] > averaged_volumes[final_times[-1]]: | |
final_times[-1] = t | |
else: | |
final_times.append(t) | |
final = concatenate([clip.subclip(max(t-5,0),min(t+5, clip.duration)) | |
for t in final_times]) | |
final.to_videofile('soccer_cuts.mp4') # low quality is the default |
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