ova-server
Open source computer vision API based on open source models
? Quick start
An instance of ova-server is free and publicly available here:
Checkout ova-client for a quick demo.
Installing
- Setup a local enviroment using tensorflow lite as backend framework
$ make setup-tensorflow-lite
See the documentation for the list of supported deep learning frameworks.
- Download the models:
$ ./cli.py download --model=yolov4 --framework=tensorflow_lite --hardware=cpu
Usage
Run the ova-server
$ make run
[2021-03-26 19:45:37 +0100] [396769] [INFO] Starting gunicorn 20.0.4
[2021-03-26 19:45:37 +0100] [396769] [INFO] Listening at: http://0.0.0.0:8000 (396769)
[2021-03-26 19:45:37 +0100] [396769] [INFO] Using worker: sync
[2021-03-26 19:45:37 +0100] [396771] [INFO] Booting worker with pid: 396771
Get 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
More information about the ova-client https://github.com/openvisionapi/ova-client
⛏️ Built Using
✍️ Author
? Contributing
Your contributions are welcome !
Setting up development environment
To setup the development environment, simply run this command
$ make dev
Code-style checks
black is used for code formatting.
mypy is used for static typing.
? Tests
To run the tests, simply run those commands
$ make dev
$ make test
? Documentation
Full documentation can be found here:
https://openvisionapi-documentation.readthedocs.io/en/latest/
