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)