def get_mask(uid,fieldid,coordinates,fieldmaxlat,fieldminlat,fieldmaxlong,fieldminlong, field_name):
	import math
	import matplotlib.path
	from matplotlib.path import Path
	import numpy as np
	import cv2
	from PIL import Image
	from merge_contour_images import merge_contour_images
	from oct2py import octave
	import collections
	import os
	import firebase_admin
	from firebase_admin import credentials
	from firebase_admin import db
	from create_index_piechart import create_index_piechart
	from create_soc_piechart import create_soc_piechart
	from merge_mask_img import merge_mask_img
	from estimate_yield import estimate_yield
	from merge_mask_img import merge_mask_img
    # from firebase_admin import messaging
	coordinates = collections.OrderedDict(sorted(coordinates.items()))
	# print(coordinates)
	
	tci_file_name = uid + '/' + fieldid + '/area_estimate_ndvi_'  + field_name + '.png'
	tci = cv2.imread(tci_file_name,0)
	w_tci,h_tci = tci.shape
	centerx = round(w_tci/2)
	centery = round(h_tci/2)
	
	zero_lat = fieldmaxlat
	zero_long = fieldminlong
	print('coords')
	X = []
	Y = []
	pixelsperlat = h_tci/abs(float(fieldmaxlong)-float(fieldminlong))
	pixelsperlong = w_tci/abs(float(fieldmaxlat)-float(fieldminlat))
	pformatflag =0
	for k,v in coordinates.items():
		if k.find("P_")>=0:
			pformatflag = 1
			break
		temp_lat = v['Latitude']
		temp_long = v['Longitude']
		temp_lat = float(temp_lat)
		temp_long = float(temp_long)
		x = round((temp_long-zero_long)*pixelsperlat)
		y = round((zero_lat-temp_lat)*pixelsperlong)
		# print(x)
		# print(y)
		X.append(x)
		Y.append(y)
	
	if pformatflag == 1:
		X = []
		Y = []
		ploc = 1
		for k,v in coordinates.items():
			pointKey = "P_" + str(ploc)
			ploc = ploc + 1
			try:
				v = coordinates[pointKey]
				temp_lat = v['Latitude']
				temp_long = v['Longitude']
				temp_lat = float(temp_lat)
				temp_long = float(temp_long)
				x = round((temp_long-zero_long)*pixelsperlat)
				y = round((zero_lat-temp_lat)*pixelsperlong)
				# print(x)
				# print(y)
				X.append(x)
				Y.append(y)
			except:
				v = coordinates["a"]
				temp_lat = v['Latitude']
				temp_long = v['Longitude']
				temp_lat = float(temp_lat)
				temp_long = float(temp_long)
				x = round((temp_long-zero_long)*pixelsperlat)
				y = round((zero_lat-temp_lat)*pixelsperlong)
				# print(x)
				# print(y)
				X.append(x)
				Y.append(y)
	isdir = os.path.isdir(uid)
	if isdir != True:
		os.mkdir(uid)
	poly_m = octave.create_polymask(uid,fieldid,w_tci,h_tci,X,Y)

	area_pixels, total_pixels =  merge_mask_img(uid,('area_estimate_ndvi_' +field_name), fieldid)
	#area_pixels, total_pixels = merge_mask_img(uid,(fieldid + '/area_estimate_ndvi_' +field_name))
	# try:
	# 	merge_mask_img(uid, 'rvi_area_estimation')
	# except Exception as e:
	# 	print(e)
	return area_pixels, total_pixels