0.6.0

Version 0.6.0

This release includes three main improvements:

1. A Video Generating plugin that uses a video file and a v4l2loopback virtual device to simulate a mounted camera stream, to use in conjunction with the Image Detecting plugin.
2. Improved metric reporting.
3. Sets a minimum time between image events when using the Image Detecting plugin.

0.5.0

Version 0.5.0

This major release expands the camera-traps application with a new functional mode, referred to as demo mode. Unlike the original simulation mode, when operated in demo mode, the software relies on a real camera mounted and accessible as a Linux device. It uses motion detection to drive the camera and generate new images.

Additionally, when running in demo mode, the software has support for detecting a specific object and notifying a downstream process via an MQTT message. In particular, this approach supports integrations with drones which can fly to a particular camera that has spotted an object of interest.

The major new components for this release include:

1. A new Image Detecting plugin, with Linux Motion software
   for detecting motion and generating new images from a mounted camera.
2. A new Detection Reporter plugin, which determines if the configured object of interest has been detected (up to the configure confidence threshold). Detection Reporter maintains a CSV file of all detections.
3. A new CKN-MQTT Camera Traps container, which reads the
   output of the Detection Reporter and sends an MQTT message to the CKN broker for each detection.

There were a number of additional major changes, including:

1. The installer has been substantially expanded to provide support for automatically installing all of the new components mentioned above. Additionally, the installer now recognizes a new configuration, mode: demo, to specify running in demo mode versus simulation mode.
2. A number of improvements have been mode to the image scoring plugin and associated machine learning techniques. Support for a number of new models has been added, including support for ultralytics-based models. There is also support for running an ICICLE Model Commons "inference server" as a separate HTTP server container, aiding with plug-and-play.
3. A number of quality of life improvements have been made, including reducing build times with better ways of updating file permissions in the container images.

0.4.0

Version 0.4.0

This major release expands the camera-traps application with several new capabilities:

1. New Oracle plugin for collecting ground truth data.

• This plugin utilizes data about the image labels as well as events generated by all of the other plugins to create a "image_mapping_final.json" file that can be used to evaluate the performance of individual plugins as well as the overall performance of the application.

2. Incorporation of new CKN daemon for gathering performance data:

• This program runs as a standalone process (a separate container) and sends performance data to the cloud via a Kafka broker.
• It gathers data from the image_mapping_final.json file generated by the Oracle plugin.

3. Several enhancements to the Image Scoring plugin:

• Added support for streaming (input) data from a zip archive file defined by a publicly accessible URL.
• Added support for dynamically configuring the ML model; plugin will fetch the model (pt) files at start up, as needed, from the URL specified by the CKN Model Graph API.

4. Overhaul of the existing Power Monitoring Plugin.

• Support was added for the Power Joular backend, a production-grade power monitoring tool written in Ada. This mitigates concerns with the lack of maintenance of Scaphandre, which appears to be abandoned.
• The code for the plugin was completely rewritten to simplify maintenance and improve modularity and extensibility so that adding support for additional tools will be easier.

5. New installer command-line program to facilitate installations with a high degree of customization.

6. Complete integration test suite for end-to-end testing of the Camera Traps application (maintained in a separate repo). This test suite is triggered by GitHub actions.

7. Added support for Jetson Nanos through a series of updates and code refactoring.

0.3.3

Update docker-image.yml to run in main environment