from PIL import Image | |
from PIL.ExifTags import TAGS, GPSTAGS | |
def get_exif_data(image): | |
"""Returns a dictionary from the exif data of an PIL Image item. Also converts the GPS Tags""" | |
exif_data = {} | |
info = image._getexif() | |
if info: | |
for tag, value in info.items(): | |
decoded = TAGS.get(tag, tag) | |
if decoded == "GPSInfo": | |
gps_data = {} | |
for t in value: | |
sub_decoded = GPSTAGS.get(t, t) | |
gps_data[sub_decoded] = value[t] | |
exif_data[decoded] = gps_data | |
else: | |
exif_data[decoded] = value | |
return exif_data | |
def _get_if_exist(data, key): | |
if key in data: | |
return data[key] | |
return None | |
def _convert_to_degress(value): | |
"""Helper function to convert the GPS coordinates stored in the EXIF to degress in float format""" | |
d0 = value[0][0] | |
d1 = value[0][1] | |
d = float(d0) / float(d1) | |
m0 = value[1][0] | |
m1 = value[1][1] | |
m = float(m0) / float(m1) | |
s0 = value[2][0] | |
s1 = value[2][1] | |
s = float(s0) / float(s1) | |
return d + (m / 60.0) + (s / 3600.0) | |
def get_lat_lon(exif_data): | |
"""Returns the latitude and longitude, if available, from the provided exif_data (obtained through get_exif_data above)""" | |
lat = None | |
lon = None | |
if "GPSInfo" in exif_data: | |
gps_info = exif_data["GPSInfo"] | |
gps_latitude = _get_if_exist(gps_info, "GPSLatitude") | |
gps_latitude_ref = _get_if_exist(gps_info, 'GPSLatitudeRef') | |
gps_longitude = _get_if_exist(gps_info, 'GPSLongitude') | |
gps_longitude_ref = _get_if_exist(gps_info, 'GPSLongitudeRef') | |
if gps_latitude and gps_latitude_ref and gps_longitude and gps_longitude_ref: | |
lat = _convert_to_degress(gps_latitude) | |
if gps_latitude_ref != "N": | |
lat = 0 - lat | |
lon = _convert_to_degress(gps_longitude) | |
if gps_longitude_ref != "E": | |
lon = 0 - lon | |
return lat, lon | |
################ | |
# Example ###### | |
################ | |
if __name__ == "__main__": | |
image = ... # load an image through PIL's Image object | |
exif_data = get_exif_data(image) | |
print get_lat_lon(exif_data) |
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Thanks. I've updated the gist.
Damned copy and pasting :-)
Eran
…On Sunday, October 16, 2011 at 12:07 AM, TomGoBravo wrote:
Lines 17-19 need to be right indented one level right.
##
Reply to this email directly or view it on GitHub:
https://gist.github.com/983821
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The _getexif attribute may not exist if you've opened a PNG or GIF file. The following might be a better alternative to line 7:
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lines 23-27: return data.get(key, None) |
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@DieselDraft: Or just data.get(key) I forked this (and made some minor changes): https://gist.github.com/moshekaplan/5330395 |
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@erans: What is the licensing status of this piece of code? I am currently adding EXIF support to a static photo gallery generator and one of the requested features is of course support for geotagged photos. Now, that you (and the others) have done everything that's necessary for that, I would like to integrate that. But without any written permission it's just not possible. |
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@matze I will add licensing later today but it's basically MIT do whatever you want just add attribution :-) |
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Thanks for the clarification. You will be of course properly attributed and credited! |
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Thanks. This helped me a lot even though I'm using exifread. If someone is curious, here is version of
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Pillow currently has a bug with GPS EXIF information (as of version 3.0.0): python-pillow/Pillow#1477. |
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I created a fork that accepts a list of images as input and prints the GPS lat, lon, altitude, heading, speed and timestamp values in a TSV fromat: https://gist.github.com/valgur/2fbed04680864fab1bfc |
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how can i use it to process the images on my django server |
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you can do much shorter and clearer, see my gist in 25 lines of code : https://gist.github.com/maxbellec/dbb60d136565e3c4b805931f5aad2c6d |
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This was super useful, thank you. |
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line 74 |
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Great piece of code |
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As now from PIL 7.0.0 the GPS data are stored in IFDRational, how do you get values of its numerator and denominator?
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Lines 17-19 need to be right indented one level right.