actfw-jetson 0.1.3

Description:

actfwjetson 0.1.3

actfw-jetson
actfw's components for Jetson series.
actfw is a framework for Actcast Application written in Python.
Installation
sudo apt-get update
sudo apt-get install -y python3-pip python3-pil

# Install GStreamer dependencies (some components in actfw-jetson uses GStreamer in implementation)
sudo apt-get install -y libgstreamer1.0-dev libgirepository1.0-dev ibgstreamer-plugins-base1.0-dev libglib2.0-dev libcairo2-dev

pip3 install actfw-jetson

Document

API References

Usage
See actfw-core for basic usage.
Since actfw-jetson uses GStreamer to implement some components, an application using actfw-jetson may have to initialize GStreamer library before using actfw-jetson's components.
if __name__ == '__main__':
import gi
gi.require_version('Gst', '1.0')
from gi.repository import Gst
Gst.init(None)

main()

actfw-jetson provides:

actfw_jetson.Display : Display using nvoverlaysink element in NVIDIA's Accelerated GStreamer.

Example

example/hello_jetson : The simplest application example for Jetson

Use HDMI display as 1280x720 area
Generate 1280x720 single-colored image
Draw "Hello, Actcast!" text
Display it as 1280x720 image
Notice message for each frame
Support application heartbeat
Support "Take Photo" command
Depends: fonts-dejavu-core



Development Guide
Installation of dev requirements
curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -
poetry install

Running tests
poetry run nose2 -v

Running examples
hello_jetson
Displays a red rectangle and greeting text on it on HDMI display.
Run on a Jetson Nano connected to HDMI display:
apt-get install fonts-dejavu-core
poetry run python example/hello_jetson

camera_display
Displays camera input on HDMI display.
Run on a Jetson Nano with CSI camera and HDMI display:
poetry run python example/camera_display

Releasing package & API doc
CI will automatically do.
Follow the following branch/tag rules.

Make changes for next version in master branch (via pull-requests).
Update version field in pyproject.toml with new version in master branch.
Create GitHub release from master branch's HEAD.

Draft a new release.
Create new tag named release-<New version> (e.g. release-1.4.0) from Choose a tag pull down menu.
Write title and description.
Publish release.


Then CI will build/upload package to PyPI & API doc to GitHub Pages.