| These examples apply to Flow 4 only. We are working on updating the examples to support Flow 5. In the meantime, please refer to the examples in our API docs. |
Examples for pixolution Flow
pixolution Flow is a high performance image search server. Under the hood, it extends the open-source search platform Apache Solr™.
This repo contains example scripts that show use cases and serve as a basis for your own developments.
Next Steps
Some useful resources to get more insights.
- Pixolution - company website
- Go Pro - Pricing and AI services
- Visual Search API - API params related to visual image searches
- Apache Solr Reference Guide - all other parameter (e.g. textual)
Installation
You have a working Python 3.8+ environment and a installation of Docker.
We use the free version of pixolution Flow so you can start right away (no registration). You can index up to 5000 images. If you exceed the limit pixolution Flow rejects adding more images. You can then upgrade to the Professional Plan.
Docker
Download and start the pixolution Flow image:
docker pull pixolution/flow
docker run --rm -p8983:8983 pixolution/flowPython
We assume you already have cloned this Git repo. We recommend creating a new Python virtual environment to have a clean installation of the examples and prevent dependency conflicts.
python3 -m venv flow-examples/venvGo to project root and activate the virtual environment
cd flow-examples
source venv/bin/activateUpgrade pip and install the python dependencies
pip3 install --upgrade pip
pip3 install -r requirements.txtThe Pillow python library may require the jpeg development header installed on the host system. For example in Debian/Ubuntu you may need to install:
apt install libjpeg-dev zlib1g-dev
That's it! Now, choose an example your would like to test.
Choose an example
Build a local image search server ➞
Index your local images into pixolution Flow and search for similar images with a shiny HTML search interface.
Dive into example API calls ➞
Plain HTTP API calls without boilerplate code.