def gen_geotiff2(new_string_json,uid,f_name,f_tiff_name):
	return
	from osgeo import gdal
	from osgeo import osr
	import numpy as np
	import os,sys
	import cv2
	import csv
	f_name= uid+'/'+f_name+'.png'
	f_tiff_name = uid+'/'+f_tiff_name
	print(f_name)
	print(f_tiff_name)
	n_file = cv2.imread(f_name)		
	orig_h,orig_w,orig_rgb = n_file.shape
	w_new = orig_w
	h_new = orig_h
	w = round(400*w_new/h_new)
	w_new = w
	h_new = 400
	print('new_wh')
	print(w_new)
	print(h_new)
	n_file = cv2.resize(n_file,(w_new,h_new))
	image_size = (w_new,h_new)
	newfieldminlat =new_string_json["FieldMinLat"]
	newfieldmaxlat =new_string_json["FieldMaxLat"]
	newfieldminlong =new_string_json["FieldMinLong"]
	newfieldmaxlong =new_string_json["FieldMaxLong"]
	lat = [newfieldminlat, newfieldmaxlat]
	lon = [newfieldminlong, newfieldmaxlong]
	b_pixels,g_pixels,r_pixels = cv2.split(n_file)
	nx = image_size[1]
	ny = image_size[0]
	xmin,ymin,xmax,ymax = [newfieldminlong, newfieldminlat, newfieldmaxlong, newfieldmaxlat]
	xres = (float(xmax)-float(xmin))/float(ny)
	yres = (float(ymax)-float(ymin))/float(nx)
	xmin = float(xmin)
	ymin = float(ymin)
	xmax = float(xmax)
	ymax = float(ymax)
	xres = float(xres)
	yres = float(yres)
	geotransform = (xmin,xres,0,ymax,0,-yres)
	dst_ds = gdal.GetDriverByName('GTiff').Create(f_tiff_name,ny,nx,3,gdal.GDT_Byte)
	dst_ds.SetGeoTransform(geotransform)
	srs = osr.SpatialReference()
	srs.ImportFromEPSG(4326)
	dst_ds.SetProjection(srs.ExportToWkt())
	dst_ds.GetRasterBand(1).WriteArray(r_pixels)
	dst_ds.GetRasterBand(2).WriteArray(g_pixels)
	dst_ds.GetRasterBand(3).WriteArray(b_pixels)
	dst_ds.FlushCache()
	dst_ds=None