Quick Start

An instance of ova-server is free and publicly available here:

https://api.openvisionapi.com

Checkout ova-client for a quick demo.

installation

Clone the ova-server repository:

$ git clone https://github.com/openvisionapi/ova-server

Setup a local enviroment using tensorflow lite as backend framework

$ make setup-tensorflow-lite

Downlond yolov4 model for object detection

$ ./cli.py download --model=yolov4 --framework=tensorflow_lite --hardware=cpu

Note

Check this page to see the list of supported models Supported deep learning models

Running

Run the ova-server:

$ make run

Download the official client

$ git clone https://github.com/openvisionapi/ova-client
$ cd ova-client
$ make setup
$ source .venv/bin/activate
$ DETECTION_URL=http://localhost:8000/api/v1/detection ./ova_client.py detection images/cat.jpeg

Note

For more information about the ova-client check https://github.com/openvisionapi/ova-client