Quick Start
An instance of ova-server is free and publicly available here:
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
$ just setup-tensorflow
Downlond yolov4 model for object detection
$ source .venv/bin/activate
$ ./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:
$ just run
Download the official client
$ git clone https://github.com/openvisionapi/ova-client
$ cd ova-client
$ just 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