UI3 has a dedicated thread on the ipcamtalk forum, here:īe aware that most UI3 releases are developed against the latest Blue Iris version at the time of UI3 release. Since April 20, 2018, UI3 is Blue Iris's default web interface for non-IE browsers and is included with Blue Iris versions 4.7.3 and newer. UI3 is a powerful, modern HTML5 web interface for Blue Iris. Version checks are enabled to alert users to new versions.A simple dashboard and playground are included. Installs we via a simple BAT script, and the code has is full of exciting sharp edges. We started with a proof of concept on Windows 10+ only.General optimisation of the download payload sizes.Installs and Builds using VSCode in Linux (Ubuntu), macOS and Windows, as well as Visual Studio on Windows.Support for Apple Silicon for development mode.Introduction of modulesettings.json files.Refactored and improved setup and module addition system.Dev installers now drastically simplified for those creating new modules.Work on the Python SDK to make creating modules easier.cuDNN install script to help with NVIDIA driver and toolkit installation.Breaking: the CustomObjectDetection is now part of ObjectDetectionYolo.Async processes and logging for a performance boost.REST settings API for updating settings on the fly.Ability to enable / disable modules and GPU support via the dashboard.Re-introduction of PyTorch 1.7 YOLO module for older GPUs.Tested on CUDA 12 (Note: ALPR and OCR do not run on CUDA 12).All modules moved from the AnalysisLayer folder to the modules folder.Shared Python runtimes now in runtimes.Modules are now versioned and our module registry will now only show modules that fit your current server version.Improvements to half-precision support checks on CUDA cards.Addition of 2 modules: ObjectDetectionTFLite for Object Detection on a on Raspberry Pi using Coral,.Improved logging: quantity, quality, filtering and better information.Reworking of the modulesettings file to make it simpler and have less replication.Modules are new child classes, not aggregators of our module runner. NET) and Face Processing (which can be uninstalled). Installer is streamlined: Only the server is installed at installation time, and on first run we install Object Detection (Python and.All modules can now be installed / uninstalled (rather than having some modules fixed and uninstallble).Support for the Coral.AI TPU, all within an Arm64 Docker image Coral.AI support for Linux, macOS (version 11 and 12 only) and Windows.Improved installation feedback and self-checks.A new installation SDK for making module installers far easier.New macOS and Ubuntu native installers, for 圆4 and arm64 (including Raspberry Pi).An entirely new Windows installer offering more installation options and a smoother upgrade experience from here on.GPU support for PaddlePaddle (OCR and license plate readers benefit).Fine grained support for different CUDA versions as well as systems such as Raspberry Pi, Orange Pi and Jetson.A revamped SDK that removes much (or all, in some cases) of the boilerplate code needed in install scripts.More error checks, faster re-install, better reporting, and manual fallbacks in situations where admin rights are needed A focus on improving the installation of modules at runtime.Breaking: modulesettings.json schema changed. More logging output to help diagnose issues.NET module fixes for GPU, and YOLOv5 3.1 GPU support fixed Module self-test performed on installation.Zero config, and dashboard support to enable/disable. Mesh support Automatically offload inference work to other servers on your network based on inference speed.Updated module settings schema that includes module author and original project acknowledgement.Support for sound audition modules in the explorer.Dynamic Explorer UI: Each module now supplies its own UI for the explorer.NET module: Sentiment AnalysisĪdding your own. So you want to add new module to CodeProject.AIĪdding your own.
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