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__author__ = 'agrimasthana' | |
import boto | |
import boto.s3 | |
from boto.s3.key import Key | |
from picamera import PiCamera | |
from time import sleep | |
from os import system | |
import urllib2 | |
import json | |
import arrow | |
def s3upload(filename, bucket): | |
conn = boto.connect_s3('Did-you-really-think', 'I-would-check-this-in') #AWS credentials | |
bucket = conn.get_bucket(bucket) | |
k = Key(bucket, filename) | |
k.key = filename | |
with open(filename) as f: | |
k.set_contents_from_file(f) | |
print('Completed uploading {}'.format(filename)) | |
def daylight(): | |
res = json.load(urllib2.urlopen('http://ip-api.com/json/')) | |
lat = res['lat'] | |
lon = res['lon'] | |
tz = res['timezone'] | |
time = json.load(urllib2.urlopen('http://api.sunrise-sunset.org/json?lat=%s&lng=%s&formatted=0' % (lat, lon))) | |
sunset = time['results']['sunset'] | |
sunrise = time['results']['sunrise'] | |
timespan = {'sunrise': arrow.get(sunrise).to(tz).timestamp, | |
'sunset': arrow.get(sunset).to(tz).timestamp, | |
'timezone': tz} | |
return timespan | |
if __name__ == '__main__': | |
imgs = raw_input('What should the captured series be called?: \n') | |
bkt = raw_input('What S3 bucket are you using?: \n') | |
camera = PiCamera() | |
camera.vflip = True #This is because my camera is attached upside down. | |
camera.resolution = (1920, 1080) | |
dl = daylight() | |
crnt = arrow.utcnow().to(dl['timezone']).timestamp | |
dif = dl['sunset'] - crnt | |
photostocapture = dif / 5 #It is suggested to take a photo every 3 seconds for sunset timelapse | |
for i in range(photostocapture): | |
camera.capture(imgs + '-{0:04d}.jpg'.format(i)) | |
sleep(1) | |
s3upload(imgs + '-{0:04d}.jpg'.format(i), bkt) | |
sleep(2) | |
print('installing avconv library') | |
system('sudo apt-get install libav-tools -y') | |
print('Starting to process video') | |
system('avconv -y -r 30 -i '+imgs+'-%4d.jpg -r 30 -vcodec libx264 '+imgs+'.mp4') | |
print('uploading processed video to AWS: S3') | |
s3upload(imgs+'.mp4') | |
print('Done') |
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