This is just an addendum to get location information at a frame level from aerial drone video for drone video analytics if the gps json is unavailable and the drone stamps the image with the information:

from PIL import Image

from PIL.ExifTags import TAGS, GPSTAGS

def get_exif_data(image_path):

    try:

        image = Image.open(image_path)

        exif_data = {}

        info = image._getexif()

        if info:

            for tag, value in info.items():

                decoded = TAGS.get(tag, tag)

                exif_data[decoded] = value

        return exif_data

    except Exception as e:

        print(f"Error: {e}")

        return None

def get_geotagging(exif_data):

    if not exif_data:

        return None

    geotagging = {}

    for key, value in exif_data.items():

        if key == "GPSInfo":

            for tag, val in value.items():

                decoded = GPSTAGS.get(tag, tag)

                geotagging[decoded] = val

    return geotagging

def convert_to_degrees(value):

    d, m, s = value

    return d + (m / 60.0) + (s / 3600.0)

def get_lat_lon(geotagging):

    lat = None

    lon = None

    if "GPSLatitude" in geotagging and "GPSLongitude" in geotagging:

        lat = convert_to_degrees(geotagging["GPSLatitude"])

        if geotagging["GPSLatitudeRef"] != "N":

            lat = -lat

        lon = convert_to_degrees(geotagging["GPSLongitude"])

        if geotagging["GPSLongitudeRef"] != "E":

            lon = -lon

    return lat, lon

# Example usage:

image_path = "../../../skyquery-dataset/data/frames/main/013909.jpg" # Replace with your image path

exif_data = get_exif_data(image_path)

geotagging = get_geotagging(exif_data)

print("EXIF Data:", exif_data)

print("Geotagging:", geotagging)

if geotagging:

    lat, lon = get_lat_lon(geotagging)

    print("Latitude:", lat)

    print("Longitude:", lon)