Changes and new Features

• New config option require_motion for labels.
  If set to true, the recorder will stop when motion is no longer detected, even if the object still is.
  This is useful to avoid never ending recordings of stationary objects, such as a car on a driveway.

Fixes

• The labels file was corrupted in the amd64* images, so labels of objects made no sense.

Previous 1.8.0 betas

Breaking changes

• port is now required for substream

Changes and new Features

• Complete rewrite of all Dockerfiles(!).
  Multistage builds are now used extensively which dramatically reduces the size of the containers.
  All containers are now built on Azure Pipelines which means i no longer have to build them all locally(!!).
  Cross-building is done using Balenalibs baseimages, which means we now have (experimental) support for the RPi4(!!!).
  This new way of working with containers mean i can easily support different hardware, such as the Jetson Nano in the near future.
  Multiarch images are also in play, which means you dont need to pull different images based on your architecture, unless you want a specific one, like the amd64 CUDA version. Closes #1, closes #66

• Static MJPEG streams can now be configured, which provides better performance due to processing only happening once
  See the new section on [Static MJPEG Streams(https://github.com/roflcoopter/viseron#static-mjpeg-streams) in the README for more information. Closes #23

• An MJPEG stream is now served for each camera.
  A number of query parameters are available to control resolution, what is drawn on the frames etc.
  See the new section in the README for more information. Closes #23

• stream_format and port is now supported for substream. Closes #112

• Viseron no longer runs as root in the containers. You can now set PUID and PGID as environment variables to control the user.
  I you are using docker-compose it might look like this:

  version: "2.4"
  
  services:
    viseron:
      image: roflcoopter/viseron:latest
      container_name: viseron
      volumes:
        - <recordings path>:/recordings
        - <config path>:/config
        - /etc/localtime:/etc/localtime:ro
      environment:
        - PUID=1000
        - PGID=1000

Fixes

• Better reporting of errors when loading EdgeTPU, fixes #76

Docker images will be on Docker Hub shortly

Note: Re-release of 1.8.0b3 due to errors in pipeline.

Breaking changes

• port is now required for substream

Changes and new Features

• Complete rewrite of all Dockerfiles(!).
  Multistage builds are now used extensively which dramatically reduces the size of the containers.
  All containers are now built on Azure Pipelines which means i no longer have to build them all locally(!!).
  Cross-building is done using Balenalibs baseimages, which means we now have (experimental) support for the RPi4(!!!).
  This new way of working with containers mean i can easily support different hardware, such as the Jetson Nano in the near future.
  Multiarch images are also in play, which means you dont need to pull different images based on your architecture, unless you want a specific one, like the amd64 CUDA version. Closes #1, closes #66

• Static MJPEG streams can now be configured, which provides better performance due to processing only happening once
  See the new section on [Static MJPEG Streams(https://github.com/roflcoopter/viseron#static-mjpeg-streams) in the README for more information. Closes #23

• An MJPEG stream is now served for each camera.
  A number of query parameters are available to control resolution, what is drawn on the frames etc.
  See the new section in the README for more information. Closes #23

• stream_format and port is now supported for substream. Closes #112

• Viseron no longer runs as root in the containers. You can now set PUID and PGID as environment variables to control the user.
  I you are using docker-compose it might look like this:

  version: "2.4"
  
  services:
    viseron:
      image: roflcoopter/viseron:latest
      container_name: viseron
      volumes:
        - <recordings path>:/recordings
        - <config path>:/config
        - /etc/localtime:/etc/localtime:ro
      environment:
        - PUID=1000
        - PGID=1000

Docker images will be on Docker Hub shortly

Removed, see next release

Fixes

• filter_args now works again @olekenneth (#126 ), fixes #123

Docker images are available on Docker Hub
roflcoopter/viseron:1.7.3
roflcoopter/viseron-cuda:1.7.3
roflcoopter/viseron-vaapi:1.7.3
roflcoopter/viseron-rpi:1.7.3

Changes and new Features

• An MJPEG stream is now served for each camera.
  A number of query parameters are available to control resolution, what is drawn on the frames etc.
  See the new section in the README for more information.

Fixes

• Better reporting of errors when loading EdgeTPU, fixes #76

Docker images are available on Docker Hub
roflcoopter/viseron:1.8.0b1
roflcoopter/viseron-cuda:1.8.0b1
roflcoopter/viseron-vaapi:1.8.0b1
roflcoopter/viseron-rpi:1.8.0b1

Fixes

• Check if MQTT is enabled before trying to publish, fixes #97

Docker images are available on Docker Hub
roflcoopter/viseron:1.7.2
roflcoopter/viseron-cuda:1.7.2
roflcoopter/viseron-vaapi:1.7.2
roflcoopter/viseron-rpi:1.7.2

1.7.1 - Hotfix for saving thumbnail

Fixes

• Correctly save thumbnail to disk, filepath is /recordings/thumbnails//latest_thumbnail.jpg, fixes #91

Docker images are available on Docker Hub
roflcoopter/viseron:1.7.1
roflcoopter/viseron-cuda:1.7.1
roflcoopter/viseron-vaapi:1.7.1
roflcoopter/viseron-rpi:1.7.1

Breaking changes

• Recorder global_args can no longer be specified

Changes and new Features

• FFmpeg segments are now used to record instead of caching frames in memory
• A substream can now be configured which will be used for image processing.
  This can be used to great success to reduce system load.
• Upgrades to CUDA 11 and OpenCV 4.5.0 for CUDA image
• Recordings are encoded to /tmp, then moved to target directory when done. Closes #49
• Installs tzdata package. Closes #55
• A new config option, thumbnail is available under recorder.
  Use this to send a snapshot of the detection that triggered a recording to MQTT, or choose to save to disk
• A new sensor entity is created in Home Assistant which indicates the status of Viseron.
  The state is set to recording, scanning_for_motion or scanning_for_objects
• Cameras are now setup in parallel instead of sequentially. This significantly increases startup speed with many cameras

Fixes

• Fixed a formatting issue with the duplicate log filter
• Returncodes > 0 from MQTT is now logged as errors in text format. Closes #59
• Fixes segments process not starting when using substream

Docker images are available on Docker Hub
roflcoopter/viseron:1.7.0
roflcoopter/viseron-cuda:1.7.0
roflcoopter/viseron-vaapi:1.7.0
roflcoopter/viseron-rpi:1.7.0

1.7.0b3 - Segments and Substream

Changes and new Features

• A new sensor entity is created in Home Assistant which indicates the status of Viseron.
  The state is set to recording, scanning_for_motion or scanning_for_objects
• Cameras are now setup in parallel instead of sequentially. This significantly increases startup speed with many cameras

Docker images are available on Docker Hub
roflcoopter/viseron:1.7.0b3
roflcoopter/viseron-cuda:1.7.0b3
roflcoopter/viseron-vaapi:1.7.0b3
roflcoopter/viseron-rpi:1.7.0b3