def find_img(uid,fieldid,new_string_json):
	from oct2py import octave
	import cv2
	import numpy as np
	from matplotlib import pyplot as plt
	from find_upper_img import find_upper_img
	from find_bottom_img import find_bottom_img
	from find_left_img import find_left_img
	from find_right_img import find_right_img
	from find_img import find_img
	large1 = uid+'_TCI.png'
	large2 = uid+'_ETCI.png'
	#large3 = 'BNDVI_clipped.png'
	#large4 = 'B3_clipped.png'
	#large5 = 'B4_clipped.png'
	large6 = 'B8_clipped.png'
	larges = [large1, large2]
	small = uid+fieldid+'_static_map.png'
	all_coords_dict = {}
	coords_dict = {}
	
	template = cv2.imread(small,0)
	#cv2.imwrite('bwt.png',template)
	#t2 = cv2.imread(small,0)
	w,h = template.shape[::-1]

# All the 6 methods for comparison in a list
	methods = ['cv2.TM_CCOEFF', 'cv2.TM_CCOEFF_NORMED','cv2.TM_CCORR_NORMED', 'cv2.TM_SQDIFF', 'cv2.TM_SQDIFF_NORMED']
	ww =0
	meth_count =0
	meth_match=0
	for l in larges:
		img = cv2.imread(l,0)
	
		for meth in methods:
			#img = img2.copy()
			method = eval(meth)

			# Apply template Matching
			res = cv2.matchTemplate(img,template,method)
			min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)
			# If the method is TM_SQDIFF or TM_SQDIFF_NORMED, take minimum
			if method in [cv2.TM_SQDIFF, cv2.TM_SQDIFF_NORMED]:
				top_left = min_loc
			else:
				top_left = max_loc
			bottom_right = (top_left[0] + w, top_left[1] + h)
			ystart = top_left[0]
			yend = top_left[0]+w
			xstart = top_left[1]
			xend = top_left[1]+h
			if meth_count==1:
				meth1_xs = xstart
			
			
			print('xvalues')
			print(xstart)
			print(xend)
			print(ystart)
			print(yend)
		
			for (key,val) in all_coords_dict.items():
				xs = key
				#print('xsys')
				#print(xs)
				dict_coord = all_coords_dict[xs]
				ys = dict_coord["ystart"]
				#print(ys)
		
				if abs(int(xs)-xstart)<15 and abs(int(ys)-ystart)<15:
					xstart = xs
					ystart = ys
					if meth_count==2:
					
						if int(xstart)==int(meth1_xs):
							meth_match=1
							print(('mm'+str(meth_match)))
					
					break
			coords_dict  = {}
			coords_dict['xstart'] =xstart
			coords_dict['xend'] =xend
			coords_dict['ystart'] =ystart
			coords_dict['yend'] =yend
			meth_count = meth_count+1
			try:
				temp_coords_dict = all_coords_dict[str(xstart)]
	
				coord_count = int(temp_coords_dict['count'])
				#print(coord_count)
				coord_count = coord_count+1
				coords_dict['count']=coord_count
	
			except:
				coords_dict['count'] = 1
			all_coords_dict[str(xstart)]=coords_dict
			#print(all_coords_dict)

			temp_count = 0
	
	print(all_coords_dict)
	max_cur_count = 0
	for cur_key in all_coords_dict:
		cur_count = int(all_coords_dict[cur_key]['count'])
		if cur_count>max_cur_count:
			max_cur_count = cur_count
		if cur_count>temp_count:
			true_coords = all_coords_dict[cur_key]
			temp_count = cur_count
#	print('max_cur')
#	print(max_cur_count)
	print(all_coords_dict)
	print(meth_match)
	if max_cur_count>2:	
		for cur_key in all_coords_dict:
			cur_count = int(all_coords_dict[cur_key]['count'])
			if cur_count>max_cur_count:
				max_cur_count = cur_count
			if cur_count>temp_count:
				true_coords = all_coords_dict[cur_key]
				temp_count = cur_count
		print('max_cur')
		print(max_cur_count)
		
		xstart = int(true_coords['xstart'])
		xend = int(true_coords['xend'])
		ystart = int(true_coords['ystart'])
		yend = int(true_coords['yend'])
		print('xvalues_true_large')
		print(xstart)
		print(xend)
		print(ystart)
		print(yend)
		aqw2 = 1
		#aqw1 = octave.crop_images_large(uid,xstart,xend,ystart,yend,new_string_json)
		#aqw2 = octave.crop_images(uid,xstart,xend,ystart,yend,new_string_json)
		return aqw2,xstart,xend,ystart,yend
	elif max_cur_count<3 and meth_match==1:
		for cur_key in all_coords_dict:
			cur_count = int(all_coords_dict[cur_key]['count'])
			if cur_count>max_cur_count:
				max_cur_count = cur_count
			if cur_count>temp_count:
				true_coords = all_coords_dict[cur_key]
				temp_count = cur_count
		print('max_cur')
		print(max_cur_count)
		
		xstart = int(true_coords['xstart'])
		xend = int(true_coords['xend'])
		ystart = int(true_coords['ystart'])
		yend = int(true_coords['yend'])
		print('xvalues_true_large')
		print(xstart)
		print(xend)
		print(ystart)
		print(yend)
		aqw2=1
		return aqw2,xstart,xend,ystart,yend
	else:
		#xstart,xend,ystart,yend = find_img(uid,fieldid)
		print('xvalues_true_small')
		#print(xstart)
		#print(xend)
		#print(ystart)
		#print(yend)
		#aqw1 = octave.crop_images_large(uid,xstart,xend,ystart,yend,new_string_json)
		#aqw2 = octave.crop_images_small_gmap(uid,xstart,xend,ystart,yend,new_string_json)
		return 2,0,0,0,0
#except:
#	return 0,0,0,0