CJ-Vision-2021.3.1-1

What's Changed

• Update azure-pipelines.yml for Azure Pipelines by @CJBuchel in #79
• MJPEG Image stream by @CJBuchel in #80

Additions

• Added Stream class to output structure. Creates a separate thread to output a video stream over the network. Can be viewed in browser and MJPEG Stream Viewers. I.e http://cjVision.local:8080. See the documentation on Output/Display for detail https://github.com/wml-frc/CJ-Vision/blob/master/docs/gettingStarted.md

Fixes

• Bugfix for platform detection not running on Linux

Full Changelog: v2.0...v2.1

CJ-Vision-2021.3.1

The second large update to CJ-VIsion.
Update:

• New gradle syntax
• Framework generator
• Latest/Legacy added
• Newer networking method
• Better deploy structure
• Mac OS officially supported
• Logging system added
• Newer wrappers for filtering/detection/bounding
• Layering system added for users

Features:

• Platform to build C++ on

• Common OpenCV wrapper functions

• Allows local debugging with webcam

• Your choice in coprocessor, RPI, Jetson, Tinker Board, etc...

• Uses layering system for programmable design

• Debian UNIX-based deployment (uses Embedded tools for building/deploying to Debian UNIX-based systems)

• Socket networking (sends CV data through custom socket programming https://github.com/wml-frc/UDP_TransferNT)

Fixes #74
Fixes #62
Fixes #55
Fixes #73

What's Changed

• CJ-Vision-2.0 by @CJBuchel in #72

Full Changelog: v1.0...v2.0

CJ-Vision-2020.3.2

This release fixes many prior bugs in the networking of the program. And now offers a new submodule https://github.com/wml-frc/UDP_TransferNT fully built in standard C/C++. Providing UDP Transfer methods between Linux machines. It's provided as a gradle library and can be added easily to an FRC gradle project. Or linked just as easily from the cpp and public headers.

Features:

• No longer crashes either roborio or coprocessor when connection is lost.
• Provides both threaded and non threaded send/recv methods.
• Ability to stop/start/kill network while program is running
• Faster than Prior TCP method.
• Data stream stability
• Better serializer and datapackets

This release is a pre-release, as the networking is not finalized and as time moves forward, this library will switch to being more of a platform to build CV on. Rather than providing a wrapper for OpenCV

CJ-Vision-2020.2.2

Vision tracking library included into 2020 versions of the FRC codebase. Supports Raspberry Pi's as the coprocessor.

CJ-Vision-2019.3.2

2019 Vision Tracking Library used for the 2019 Codebases. Supports both Asus Tinkerboards & Raspberry Pi's