def map_planet_coords(uid,fieldid,coordinates,fieldmaxlat,fieldminlat,fieldmaxlong,fieldminlong):
	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 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_planet_img import merge_planet_img
       # from firebase_admin import messaging
	cred = credentials.Certificate('servicekey.json')
	coordinates = collections.OrderedDict(sorted(coordinates.items()))
	print(coordinates)
	tci_file_name = uid + '/highres_' +str(fieldid)+'.png'
	
	#tci_file_name = uid +'/' + fieldid + '_highres_num.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 = []
	print(fieldminlat, fieldmaxlat, fieldminlong, fieldmaxlong, h_tci, w_tci)
	pixelsperlat = h_tci/abs(float(fieldmaxlong)-float(fieldminlong))
	pixelsperlong = w_tci/abs(float(fieldmaxlat)-float(fieldminlat))
	print(pixelsperlat, pixelsperlong)
	pformatflag =0
	X = []
	Y = []
	ploc = 0
	for k,v in coordinates.items():
		
		pointKey = "P_" + str(ploc)
		ploc = ploc + 1
		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)

	octave.create_polymask(uid,fieldid,w_tci,h_tci,X,Y)