GithubHelp home page GithubHelp logo

crisvirus / spyglass Goto Github PK

View Code? Open in Web Editor NEW

This project forked from mryel00/spyglass

0.0 0.0 0.0 107 KB

A simple mjpeg server for Picamera2

License: GNU General Public License v3.0

Shell 10.94% Python 82.89% Makefile 6.17%

spyglass's Introduction

Spyglass

Please note that this project is in a very early stage. Use at your own risk. Think about contributing to the project if you find that something is not working, and you are able to fix it. Every contribution is appreciated.

A simple mjpeg server for Picamera2.

With Spyglass you are able to stream videos from a camera that is supported by libcamera like the Raspberry Pi Camera Module 3.

Current version: 0.13.0

Prerequisites

  • Raspberry Pi OS Bullseye
  • Picamera2 - Already installed on Raspberry Pi OS Bullseye
  • Python 3.8+
  • A camera supported by libcamera and connected to the Raspberry Pi

Quick Start

The server can be started with

./run.py

This will start the server with the following default configuration:

  • Address the server binds to: 0.0.0.0
  • Port: 8080
  • Resolution: 640x480
  • Framerate: 15fps
  • Stream URL: /stream
  • Snapshot URL: /snapshot

Configuration

On startup the following arguments are supported:

Argument Description Default
-b, --bindaddress Address where the server will listen for new incoming connections. 0.0.0.0
-p, --port Port where the server will listen for new incoming connections. 8080
-r, --resolution Resolution of the captured frames. This argument expects the format x 640x480
-f, --fps Framerate in frames per second (fps). 15
-st, --stream_url Sets the URL for the mjpeg stream. /stream
-sn, --snapshot_url Sets the URL for snapshots (single frame of stream). /snapshot
-af, --autofocus Autofocus mode. Supported modes: manual, continuous continuous
-l, --lensposition Set focal distance. 0 for infinite focus, 0.5 for approximate 50cm. Only used with Autofocus manual 0.0
-s, --autofocusspeed Autofocus speed. Supported values: normal, fast. Only used with Autofocus continuous normal
-ud --upsidedown Rotate the image by 180° (see below)
-fh --flip_horizontal Mirror the image horizontally (see below)
-fv --flip_vertical Mirror the image vertically (see below)
-or --orientation_exif Set the image orientation using an EXIF header (see below)
-tf --tuning_filter Set a tuning filter file name.
-tfd --tuning_filter_dir Set the directory to look for tuning filters.
Starting the server without any argument is the same as
./run.py -b 0.0.0.0 -p 8080 -r 640x480 -f 15 -st '/stream' -sn '/snapshot' -af continuous -l 0.0 -s normal

The stream can then be accessed at http://<IP of the server>:8080/stream

Maximum resolution

Please note that the maximum recommended resolution is 1920x1080 (16:9).

The absolute maximum resolution is 1920x1920. If you choose a higher resolution spyglass may crash.

Image Orientation

There are two ways to change the image orientation.

To use the ability of picamera2 to transform the image you can use the following options when starting spyglass:

  • -ud or --upsidedown - Rotate the image by 180°
  • -fh or --flip_horizontal - Mirror the image horizontally
  • -fv or --flip_vertical - Mirror the image vertically

Alternatively you can create an EXIF header to modify the image orientation. Most modern browsers should respect the this header.

Use the -or or --orientation_exif option and choose from one of the following orientations

  • h - Horizontal (normal)
  • mh - Mirror horizontal
  • r180 - Rotate 180
  • mv - Mirror vertical
  • mhr270 - Mirror horizontal and rotate 270 CW
  • r90 - Rotate 90 CW
  • mhr90 - Mirror horizontal and rotate 90 CW
  • r270 - Rotate 270 CW

For example to rotate the image 90 degree clockwise you would start spyglass the following way:

./run.py -or r90

Tuning filter

Tuning filters are used to normalize or modify the camera image output, for example, using an NoIR camera can lead to a pink color, whether applying a filter to it you could remove its tone pink. More information here: https://github.com/raspberrypi/picamera2/blob/main/examples/tuning_file.py

Predefined filters can be found at one of the picamera2 directories:

  • ~/libcamera/src/ipa/rpi/vc4/data
  • /usr/local/share/libcamera/ipa/rpi/vc4
  • /usr/share/libcamera/ipa/rpi/vc4
  • /usr/share/libcamera/ipa/raspberrypi

You can also define your own directory of filter by using parameter tuning_filter_dir.

list the files present there and you can use it in our config. eg.: ov5647_noir.json

Using Spyglass with Mainsail

If you want to use Spyglass as a webcam source for Mainsail add a webcam with the following configuration:

  • URL Stream: /webcam/stream
  • URL Snapshot: /webcam/snapshot
  • Service: V4L-MJPEG

Install as application

If you want to install Spyglass globally on your machine you can use python -m pip install . to do so.

Install and run as a service

Install

Quite simple:

cd ~/spyglass
make install

This will ask you for your sudo password.
After install is done, please reboot to ensure service starts properly

To uninstall the service simply use

cd ~/spyglass
make uninstall

Using Moonraker Update Manager

To be able to use Moonraker update manager, add the following lines to moonraker.conf:

[update_manager spyglass]
type: git_repo
channel: beta
path: ~/spyglass
origin: https://github.com/roamingthings/spyglass.git
managed_services: spyglass

Make sure moonraker.asvc contains spyglass in the list: cat ~/printer_data/moonraker.asvc | grep spyglass.

If not there execute: make upgrade-moonraker

Configuration

You should find a configuration file in ~/printer_data/config/spyglass.conf.

Please see spyglass.conf for an example

Restart the service

To restart the service use systemctl:

sudo systemctl restart spyglass

Start Developing

If you want to setup your environment for development perform the following steps:

Setup your Python virtual environment:

python -m venv .venv                  # Create a new virtual environment
. .venv/bin/activate                  # Activate virtual environment
python -m pip install --upgrade pip   # Upgrade PIP to the current version
pip install -r requirements.txt       # Install application dependencies
pip install -r requirements-test.txt  # Install test dependencies
pip install -r requirements-dev.txt   # Install development dependencies

The project uses commitizen to check commit messages to comply with Conventional Commits. When installing the development dependencies git-hooks will be set up to check commit messages pre commit.

Problems when Committing to your Branch

You may get the following error message when you try to push to your branch:

fatal: ambiguous argument 'origin/HEAD..HEAD': unknown revision or path not in the working tree.
Use '--' to separate paths from revisions, like this:
'git <command> [<revision>...] -- [<file>...]'

This error occurs when your HEAD branch is not properly set (Stack Overflow) To fix this run the following command:

git remote set-head origin -a

spyglass's People

Contributors

ayrtonricardo avatar crisvirus avatar dependabot[bot] avatar github-actions[bot] avatar hely0n avatar iiifours avatar kwadfan avatar mentallydetached avatar mryel00 avatar roamingthings avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.