# actfw-raspberrypi
actfw's components for Raspberry Pi.
actfw is a framework for Actcast Application written in Python.
## Installation
```console
sudo apt-get update
sudo apt-get install -y python3-pip python3-pil
pip3 install actfw-raspberrypi
```
## Document
* [API References](https://idein.github.io/actfw-raspberrypi/latest/)
## Usage
See [actfw-core](https://github.com/Idein/actfw-core) for basic usage.
actfw-raspberrypi provides:
* `actfw_raspberrypi.capture.PiCameraCapture` : Generate CSI camera capture image
* `actfw_raspberrypi.Display` : Display using PiCamera Overlay
* `actfw_raspberrypi.vc4.Display` : Display using VideoCore IV
* `actfw_raspberrypi.vc4.Window` : Double buffered window
## Example
* `example/hello` : The most simple application example
* Use HDMI display as 640x480 area
* Capture 320x240 RGB image from CSI camera
* Draw "Hello, Actcast!" text
* Display it as 640x480 image (with x2 scaling)
* Notice message for each frame
* Support application setting
* Support application heartbeat
* Support "Take Photo" command
* Depends: python3-picamera fonts-dejavu-core
* `example/grayscale` : Next level application example
* Use HDMI display as 640x480 area
* Capture 320x240 RGB image from CSI camera
* Convert it to grayscale
* Display it as 640x480 image (with x2 scaling)
* Notice message for each frame
* Support application setting
* Support application heartbeat
* Support "Take Photo" command
* Depends: python3-picamera
* `example/parallel_grayscale` : Paralell processing application example
* Use HDMI display as 640x480 area
* Capture 320x240 RGB image from CSI camera
* Convert it to grayscale
* There exists 2 converter task
* Round-robin task scheduling
* Display it as 640x480 image (with x2 scaling)
* Notice message for each frame
* Show which converter processes image
* Support application setting
* Support application heartbeat
* Support "Take Photo" command
* Depends: python3-picamera
* `example/uvccamera` : UVC camera capture example
* `picamera` is unnecessary
* Use HDMI display center 640x480 area
* Capture 320x240 RGB image from UVC camera
* Convert it to grayscale
* Display it as 640x480 image (with x2 scaling)
* Notice grayscale pixel data histogram
* Support application setting
* Support application heartbeat
* Support "Take Photo" command
* Depends: libv4l-0 libv4lconvert0
## Development Guide
### Installation of dev requirements
```console
pip3 install poetry
poetry install
```
### Running tests
```console
poetry run nose2 -v
```
### Running examples
On a Raspberry Pi connected to HDMI display:
```console
poetry run python example/hello
```
### Releasing package & API doc
CI will automatically do.
Follow the following branch/tag rules.
1. Make changes for next version in `master` branch (via pull-requests).
2. Make a PR that updates version in `pyproject.toml` and merge it to `master` branch.
3. Create GitHub release from `master` branch's HEAD.
1. [Draft a new release](https://github.com/Idein/actfw-raspberrypi/releases/new).
2. Create new tag named `release-<New version>` (e.g. `release-1.4.0`) from `Choose a tag` pull down menu.
3. Write title and description.
4. Publish release.
4. Then CI will build/upload package to PyPI & API doc to GitHub Pages.
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