try:
### Cropping Image for time
timing = original.crop((722, 220, 853, 245))
current_time = pytesseract.image_to_string(timing, config='-psm 6')
current_time = datetime.strptime(current_time, '%H:%M:%S').time()
### Cropping image to have just the radar image
img = original.crop((120, 120, 600, 600))
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
