logger.info('image cropped')
### Removing unnecessary colors
img = processor.remove_colors(img)
logger.info('color removed')
### Getting Color Coding in Dataframe
clouds = processor.cloudcolor(img)
logger.info('cloud color coding done')
### Getting location for each pixel
clouds = processor.pixelcoding(clouds, img)
logger.info('pixel coding done')
### Mapping Rainfall Intensity of each pixel
rain = processor.rainfallcoding(clouds)
logger.info('rainfall intensity done')
### Getting cloud information
cloud_group = processor.group_clouds(clouds)
logger.info('clouds formed')
### Getting the centre of the rain
centre = processor.get_centre(cloud_group)
logger.info('got weighted mean')
df = pd.DataFrame(columns=['datetime', 'cloud_mean'])
if current_time < datetime(2018, 1, 1, 18, 30).time():
df.loc[0, :] = datetime.combine(date.date(), current_time), centre
else:
df.loc[0, :] = datetime.combine((date.date() - timedelta(days=1)),
