This is a Python code to detect landmarks, labels and web entities in a set of images using Google Cloud Vision API. The code takes a JSON configuration file that contains the API key and credentials file path for the Google Cloud Vision API, as well as other optional parameters, such as the directory for image files.
The code processes each image file and extracts landmark, label, and web entity information from it using the aforementioned API. The results are stored in a JSON file in the following structure:
Before running the program, the user needs to have:
git clone https://github.com/PierrunoYT/photo-location-finder
Alternatively, you can download the zip file from GitHub by clicking on the green “Code” button and selecting “Download ZIP”.
python --version
If you don’t have Python 3.7 or later installed, you can download it from the official Python website.
pip install -r requirements.txt
Open the config.json and replace the YOUR_API_KEY_HERE placeholder with your actual Google Maps API key, and the PATH_TO_YOUR_CREDENTIALS_FILE placeholder with the path to the private key JSON file you created earlier. Update other parameters in the configuration file if necessary.
python main.py
The detection process will start, and you will see output in the terminal or command prompt indicating the status of each image being processed. When the process is complete, you will find a result.json file in the current working directory containing the results of the object detection.
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