Hi - I'm unsure whether this is a Python question or a geoprocessing question. I'll post it here and see how we go.
I am trying to use the 'warp' function in a rather novel way. I have a heap of (~800) individual QR codes, which I'd like to georeference so that they can be displayed as map features.
The QR codes are all the same size and I can use the same reference points, whereas the location to georeference the features 'to' (ie where I want them to sit on the map) will change from code to code. This location is determined by the location of a given point.
I've cobbled together a script to iterate through the codes, and the script runs correctly, but the output features aren't georeferenced at all.
I've also tried georeferencing a single feature via the Toolbox, but that doesn't perform as expected either.
The script (snippet of) I'm using is below:
ls_inputs = os.listdir(ws_inputs)
for i in ls_inputs:
if i[0:-4] in dict_mapcentroid:
print "Working on", i
input = os.path.join(ws_inputs, i)
cent_x = dict_mapcentroid[i[0:-4]][0]
cent_y = dict_mapcentroid[i[0:-4]][1]
target_pt = "'11.5 -158.5';'158.5 -11.5'"
source_pt = "'%s %s';'%s %s'" % (cent_x - 1750, cent_y - 1750, cent_x + 1750, cent_y + 1750)
output = os.path.join(ws_outputs, "georef_%s" % i)
arcpy.Warp_management(input, source_pt, target_pt, output, "POLYORDER1")
else:
print "Fail on", i
(dict_mapcentroid refers to a dictionary with the feature name as key, and the coordinates of the centroid as a [x,y] list)
(the reference points are bottom left and top right, the +/- 1750 allow for the scaling of the feature to appear 3 x 3cm at 1:250K)
Can anyone shed any light on why this wouldn't be working - or am I simply trying to use a tool in a manner in which it was not intended?
Thanks
