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extract.py
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extract.py
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#!/usr/bin/python
__author__ = 'Samim.io'
import argparse
import os
import errno
import subprocess
from os import listdir
from os.path import isfile, join
import json
from PIL import Image
from PIL import ImageFont
from PIL import ImageDraw
def createVideo(inputdir,outputdir,framerate):
global foldername
print '(6/6) CreateVideo: ' + inputdir
command = 'ffmpeg -y -r ' + str(framerate) + ' -f image2 -i "' + inputdir + '/frame-%6d.jpg" -c:v libx264 -pix_fmt yuv420p -tune fastdecode -tune zerolatency -profile:v baseline ' + outputdir
proc = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True, universal_newlines=True)
while proc.poll() is None:
line = proc.stdout.readline()
print(line + '\n')
print 'Adding Audio: ' + inputdir
#filename = inputdir + '/processed_' + foldername + '.mp4'
filename = 'videos/processed/processed_' + foldername + '.mp4'
command = 'ffmpeg -y -i '+inputdir+'/movie.mp4 -i '+inputdir+'/output.aac -c copy -bsf:a aac_adtstoasc -map 0:0 -map 1:0 ' + filename
proc = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True, universal_newlines=True)
while proc.poll() is None:
line = proc.stdout.readline()
print(line + '\n')
def drawOverlay(image,text):
print 'drawOverlay: ' + image + ' text: ' + text
img = Image.open(image)
draw = ImageDraw.Draw(img)
font = ImageFont.truetype("font.ttf", 46)
draw.text((20, 10),text,(255,255,255),font=font)
img.save(image)
def createImageOverlay(inputdir,framerate):
print '(5/6) createImageOverlay: ' + inputdir
foundimages = []
with open(inputdir + '/result_struct.json') as data_file:
data = json.load(data_file)
images = data['imgblobs']
for image in images:
imgpath = image['img_path']
imgtext = image['candidate']['text'] # '('+str(image['candidate']['logprob']) +') ' +
newImage = [imgpath,imgtext]
foundimages.append(newImage)
frames = [ f for f in listdir(inputdir) if isfile(join(inputdir,f)) ]
currenttext = ''
print 'Creating Image Overlay For ' + str(len(frames)) + ' frames'
for frame in frames:
if frame.endswith('.jpg') or frame.endswith('.png'):
for item in foundimages:
if item[0] == frame:
currenttext = item[1]
drawOverlay(inputdir + '/' + frame,currenttext)
createVideo(inputdir,inputdir+'/movie.mp4',framerate)
def getImageSentence(inputdir,framerate):
print '(4/6) getImageSentence: ' + inputdir
command = 'python predict_on_images.py cv/model_checkpoint_coco_visionlab43.stanford.edu_lstm_11.14.p -r ' + inputdir
proc = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True, universal_newlines=True)
while proc.poll() is None:
line = proc.stdout.readline()
print(line)
createImageOverlay(inputdir,framerate)
def getImageFeatures(inputdir,framerate):
print '(3/6) getImageFeatures: ' + inputdir
command = 'python python_features/extract_features.py --caffe /caffe --model_def python_features/deploy_features.prototxt --model python_features/VGG_ILSVRC_16_layers.caffemodel --files '+inputdir+'/tasks.txt --out '+inputdir+'/features'
proc = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True, universal_newlines=True)
while proc.poll() is None:
line = proc.stdout.readline()
print(line)
getImageSentence(inputdir,framerate)
def addToList(inputdir,frameFreq,framerate):
print '(2/6) addToList: ' + inputdir
frames = [ f for f in listdir(inputdir) if isfile(join(inputdir,f)) ]
counter = frameFreq
open(inputdir + '/tasks.txt', 'w').close()
for frame in frames:
if frame.endswith('.jpg') or frame.endswith('.png'):
if counter >= frameFreq:
print frame
with open(inputdir + '/tasks.txt', 'a') as textfile:
textfile.write(frame + '\n')
counter = 0
counter += 1
getImageFeatures(inputdir,framerate)
def extractVideo(inputdir, outputdir,framefreq):
if not os.path.exists(outputdir):
os.makedirs(outputdir)
print('(1/6) extractVideo: ' + inputdir + ' To: ' + outputdir)
# get framerate
command = 'ffmpeg -i '+inputdir+' 2>&1 | sed -n "s/.*, \(.*\) fp.*/\\1/p"'
framerate = '24'
proc = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True, universal_newlines=True)
while proc.poll() is None:
line = proc.stdout.readline()
if len(line) > 1: framerate = line.rstrip('\n')
print 'framerate: ' + framerate
# get video
command = 'ffmpeg -i ' + inputdir + ' -framerate '+str(framerate)+' -y -f image2 ' + outputdir + '/frame-%06d.jpg'
proc = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True, universal_newlines=True)
while proc.poll() is None:
line = proc.stdout.readline()
#print(line + '\n')
print('extracting audio: ' + inputdir + ' To: ' + outputdir)
# get audio
command = 'ffmpeg -i '+inputdir+' -y -map 0:1 -vn -acodec copy '+outputdir+'/output.aac'
proc = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True, universal_newlines=True)
while proc.poll() is None:
line = proc.stdout.readline()
#print(line + '\n')
addToList(outputdir,framefreq, framerate)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='VideoCaptionGenerator')
parser.add_argument('-f', '--captionfrequency', help='Caption Creation Frequency Per Frame.', type=int, required=False)
args = parser.parse_args()
captionfrequency = args.captionfrequency
if args.captionfrequency is None:
captionfrequency = 30
print '***************************************'
print '******** GENERATING CAPTIONS **********'
print '***************************************'
print 'captionfrequency: ' + str(captionfrequency)
mypath = 'videos/'
foldername = ''
videos = [ f for f in listdir(mypath) if isfile(join(mypath,f)) ]
for video in videos:
if video.endswith('.mp4') or video.endswith('.mov') or video.endswith('.avi'):
print 'Processing: ' + video
foldername = os.path.splitext(video)[0]
extractVideo(mypath+video,mypath+foldername,captionfrequency)
print '********* PROCESSED ALL ************'