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scanning photos for GPS datat

This commit is contained in:
Philip Sargent 2023-10-19 18:33:20 +03:00
parent c1d14ea49d
commit 9b96c4c745
2 changed files with 12114 additions and 0 deletions

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import os
import folium
from pathlib import Path
from PIL import Image, ExifTags
# Define function to extract latitude and longitude from photo
def get_coordinates(photo_path):
"""Extracting EXIF data from jpg files requires an external package because teh EXIF standard
is interpreted differently by the many different implementations of the JPG file format
"""
try:
# Read EXIF data from photo
img = Image.open(photo_path)
exif_data = img._getexif()
# Extract latitude and longitude from EXIF data
gps_info = exif_data.get(34853) #'GPSInfo is a dict
# This does not mean that all the GPS fields are populated.
lat = gps_info.get(2, None)
lon = gps_info.get(4, None)
isn = gps_info.get(1, None)
ise = gps_info.get(3, None)
if isn and isn != "N":
print(f"{photo_path} WRONG hemisphere N/S {isn}")
if ise and ise != "E":
print(f"{photo_path} WRONG hemisphere E/W")
point = gps_info.get(17, None) # direction the camera is point towards
pointref = gps_info.get(16, None) # "M" for magnetic
taken = gps_info.get(29, None) # GPS datestamp
except:
#print(f"{photo_path} - lat/lon exception")
# for key, value in gps_info.items():
# print(key, value, value.type())
return None, None
# Convert coordinates to decimal format
if lat and lon:
# lat and lon are tuples e.g. (47.0, 35.0, 5.77)
latitude = float(lat[0] + lat[1] / 60 + lat[2] / 3600)
longitude = float(lon[0] + lon[1] / 60 + lon[2] / 3600)
# Reverse geocode coordinates to get address
#address = geolocator.reverse((latitude, longitude))
return latitude, longitude
else:
# print(f"{photo_path} - lat/lon conversion exception {lat=} {lon=}")
# for key, value in gps_info.items():
# print(key, value, type(value))
return None, None
# Specify the folder containing the photos
photo_folder = Path("../../expoweb")
photo_folder = Path("/mnt/d/EXPO/PHOTOS")
photos = photo_folder.rglob("*.jpg")
# for p in photos:
# print(p)
# Initialize a Folium map centered at an initial location
map = folium.Map(location=[47.691036, 13.821314], zoom_start=13)
photoset = []
# Iterate through photos in the folder
for filename in photos: # os.listdir(photo_folder):
photo_path = filename #os.path.join(photo_folder, filename)
# Extract latitude, longitude, and address from photo
latitude, longitude = get_coordinates(photo_path)
if latitude and longitude:
print(f"{photo_path} {latitude:.6f} {longitude:.6f}")
# Create a marker for each photo with its location and address
folium.Marker(
location=[latitude, longitude],
popup=f"{filename}",
icon=folium.Icon(color="red", icon="camera"),
).add_to(map)
photoset.append(filename)
# Save the map as an HTML file
map.save("photo_map.html")
print(f"Found {len(photoset)} GPS located photos in '{photo_folder}' and subdirectories.")