This Python application detects landmarks, labels, web entities, and other image properties in images using the Google Cloud Vision API. It provides both a command-line interface and a web interface for processing images and retrieving location information.

• Landmark detection
• Label detection
• Web entity detection
• Image properties analysis (dominant colors)
• Safe search detection
• GPS data extraction from EXIF metadata
• Geolocation using Google Maps API when landmark detection fails
• Asynchronous processing for improved performance
• Error handling and retries for API calls
• Intermediate results saving
• Web interface for easy image upload and result viewing

Before running the application, ensure that you have:

• Python 3.7 or later
• A valid Google Cloud API key
• Google Cloud credentials file
• Google Maps API key

1. Clone the repository:

   git clone https://github.com/PierrunoYT/photo-location-finder
   

2. Navigate to the project directory and install the required packages:

   pip install -r requirements.txt
   

3. Set up the configuration:

   • Copy config.json.template to config.json
   • Fill in your Google API key, Google Application Credentials file path, and other necessary information in config.json

1. Ensure your images are in the directory specified in config.json.

2. Run the script:

   python photolocationfinder.py
   

3. The script will process the images and generate:

   • A result.json file with the final results
   • intermediate_results_[timestamp].json files for each processed image

1. Start the web application:

   python web_app.py
   

2. Open a web browser and go to http://localhost:5000.

3. Use the interface to upload and process individual images.

The application uses the tenacity library for error handling and retries. API calls are retried up to 3 times with exponential backoff if they fail.

This project is licensed under the MIT License. See the LICENSE file for details.

Contributions are welcome! Please feel free to submit a Pull Request.

For questions, suggestions, or issues, please open an issue on the GitHub repository.