A library for storing and managing FAISS indexes on Google Cloud Storage. Fashionably serverless.
Project description
IndexBinder
A very small library to help you store and retrieve faiss indexes from cloud storage
Installation
You can install this library using pip:
pip install indexbinder
Usage
Here's a basic example of how to use the image search functionality:
from indexbinder import ImageSearch
from PIL import Image
# Create an ImageSearch instance
image_search = ImageSearch(
"test_index", "google-project-name", "gcs-bucket", check_consistency=True
)
image_search.add_image("path/to/your/image.jpg", {"example": "metadata"})})
results = image_search.search(input_image, num_results=5)
# Process the results
for img, similarity in results:
print(f"Similarity: {similarity}")
img.show() # Display the image
Development
To set up the development environment:
- Clone the repository
- Create a virtual environment
- Install the development dependencies:
pip install -e ".[dev]"
Testing
To run the tests:
pytest
Project details
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