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CodeProject.AI Server Modules Registry

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26 Oct 2023CPOL4 min read 16.2K   352.3K   9   4
A registry for downloadable modules for installation in CodeProject.AI Server
CodeProject.AI Server allows analysis modules to be downloaded and installed at runtime. This project contains the list, and downloads, of each module that is currently available.

Introduction

CodeProject.AI Server includes an ecosystem of modules that can be downloaded and installed at runtime.

This article serves as a reference list, but also as the source for downloadable modules for CodeProject.AI Server. To install one of these modules, simply install CodeProject.AI Server and head to the "Install modules" tab of the dashboard. Choose your module. hit "Install" and you're set.

Note that modules are tagged by platform and system, so if the system you are on (for instance a Raspberry Pi, and arm64 macOS machine, or an x64 Windows machine) doesn't match the supported platforms, then that module will not be available.

Want to create your own module? It's easy! We have examples on adding a Python module and a .NET module, but the concepts extend to any language that provides the means for scripted installation. Let your imagination go nuts.

Modules 

Supporting CodeProject.AI Server 2.6.

Computer Audio

  • Sound Classifier (TensorFlow)
    v1.2.1 All Python, TensorFlow
    The sound classifier uses Tensorflow with Python to classify sound files based on the UrbanSound8K dataset.
    Project by Chris Maunder, based on Tensorflow-Audio-Classification.

     

Computer Vision

  • License Plate Reader
    v3.0.3 All Python, PaddlePaddle
    Detects and readers single-line and multi-line licence plates using YOLO object detection and the PaddleOCR toolkit
    By Mike Lud

     
  • License Plate Reader (RKNN)
    v1.2.2 Orange Pi Python, FastDeploy
    Detects and readers single-line and multi-line licence plates. This module only works with Rockchip RK3588/RK3588S NPUs like the Orange Pi 5/5B/5 Plus.
    By Mike Lud

     
  • Object Detection (Coral)
    v2.1.6 All Python, TensorFlow-Lite
    The object detection module uses the Coral TPU to locate and classify the objects the models have been trained on.
    Project by Chris Maunder, Seth Price, based on Coral.ai examples.

     
  • Object Detection (YOLOv5 .NET)
    v1.9.3 All C#, ONNX, DirectML, YOLO
    Provides Object Detection using YOLOv5 ONNX models with DirectML. This module is best for those on Windows and Linux without CUDA enabled GPUs
    Project by Matthew Dennis, based on yolov5-net.

     
  • Object Detection (YOLOv5 3.1)
    v1.9.1 All except macOS Python, PyTorch, YOLO
    Provides Object Detection using YOLOv5 3.1 targeting CUDA 10 or 11 for older GPUs.
    Project by Chris Maunder, Matthew Dennis, based on Deepstack.

     
  • Object Detection (YOLOv5 6.2)
    v1.9.1 All except Raspberry Pi Jetson
    Provides Object Detection using YOLOv5 6.2 targeting CUDA 11.5+, PyTorch < 2.0 for newer GPUs.
    Project by Matthew Dennis, based on Ultralytics YOLOv5.

     
  • Object Detection (YOLOv5 RKNN)
    v1.6.1 Orange Pi Python, FastDeploy, YOLO
    Provides Object Detection using YOLOv5 RKNN models. This module only works with Rockchip RK3588/RK3588S NPUs like the Orange Pi 5/5B/5 Plus
    By Mike Lud

     
  • Object Detection (YOLOv8)
    v1.4.1 All Python, PyTorch, YOLO
    Provides Object Detection in Python>=3.8 using YOLOv8. Great for newer NVIDIA GPUs
    Project by Chris Maunder, based on ultralytics.

     
  • Optical Character Recognition
    v2.0.0 All Python, PaddlePaddle
    Provides OCR support using the PaddleOCR toolkit
    By Mike Lud

     
  • Scene Classification
    v1.7.1 All except Linux Raspberry Pi Jetson Python, PyTorch
    Classifies an image according to one of 365 pre-trained scenes
    Project by Chris Maunder, Matthew Dennis, based on Deepstack.

     

Face Recognition

  • Face Processing
    v1.10.1 All except Raspberry Pi Jetson Python, PyTorch
    A number of Face image APIs including detect, recognize, and compare.
    Project by Chris Maunder, Matthew Dennis, based on Deepstack.

     

Generative AI

  • LlamaChat
    v1.4.0 All except Raspberry Pi Orange Pi Jetson Python, Llama
    A Large Language Model based on the Machine Learning Compilation for LLMs
    Project by Chris Maunder, based on llama-cpp-python.

     
  • Text to Image
    v1.1.1 Windows Linux macOS Python, PyTorch, Stable Diffusion
    Generates an image from a text prompt.
    Project by Matthew Dennis, based on Diffusers.

     

Image Processing

  • Background Remover
    v1.8.1 All except Linux Raspberry Pi Orange Pi Jetson Python, ONNX
    Automatically removes the background from a picture
    Project by Chris Maunder, based on rembg.

     
  • Cartooniser
    v1.5.1 All except Raspberry Pi Orange Pi Jetson Python, PyTorch
    Convert a photo into an anime style cartoon
    Project by Chris Maunder, based on animegan2-pytorch.

     
  • Portrait Filter
    v1.7.1 Windows C#, ONNX, DirectML
    Provides a depth-of-field (bokeh) effect on images. Great for selfies.
    Project by Matthew Dennis, based on C# PortraitModeFilter.

     
  • Super Resolution
    v1.9.1 All Python, ONNX
    Increases the resolution of an image using AI
    Project by Chris Maunder, based on PyTorch.org example.

     

Natural Language

  • Sentiment Analysis
    v1.7.1 Windows macOS C#, TensorFlow
    Provides an analysis of the sentiment of a piece of text. Positive or negative?
    Project by Matthew Dennis, based on .NET ML Samples.

     
  • Text Summary
    v1.7.1 All Python, NLTK
    Summarizes text content by selecting a number of sentences that are most representative of the content.
    Project by Chris Maunder, based on Github gist.

     

Training

  • Training for YoloV5 6.2
    v1.6.3 All except Raspberry Pi Orange Pi Jetson Python, PyTorch, YOLO
    Train custom models for YOLOv5 v6.2 with support for CPUs, CUDA enabled GPUs, and Apple Silicon.
    Project by Matthew Dennis, based on Ultralytics YOLOv5.

     

Using the modules

All modules are downloaded and installed via the CodeProject.AI Server dashboard, under the 'modules' tab

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


Written By
Founder CodeProject
Canada Canada
Chris Maunder is the co-founder of CodeProject and ContentLab.com, and has been a prominent figure in the software development community for nearly 30 years. Hailing from Australia, Chris has a background in Mathematics, Astrophysics, Environmental Engineering and Defence Research. His programming endeavours span everything from FORTRAN on Super Computers, C++/MFC on Windows, through to to high-load .NET web applications and Python AI applications on everything from macOS to a Raspberry Pi. Chris is a full-stack developer who is as comfortable with SQL as he is with CSS.

In the late 1990s, he and his business partner David Cunningham recognized the need for a platform that would facilitate knowledge-sharing among developers, leading to the establishment of CodeProject.com in 1999. Chris's expertise in programming and his passion for fostering a collaborative environment have played a pivotal role in the success of CodeProject.com. Over the years, the website has grown into a vibrant community where programmers worldwide can connect, exchange ideas, and find solutions to coding challenges. Chris is a prolific contributor to the developer community through his articles and tutorials, and his latest passion project, CodeProject.AI.

In addition to his work with CodeProject.com, Chris co-founded ContentLab and DeveloperMedia, two projects focussed on helping companies make their Software Projects a success. Chris's roles included Product Development, Content Creation, Client Satisfaction and Systems Automation.

Comments and Discussions

 
QuestionView Code Pin
Mike Lud12-Jan-24 6:47
communityengineerMike Lud12-Jan-24 6:47 
AnswerRe: View Code Pin
Chris Maunder12-Jan-24 7:02
cofounderChris Maunder12-Jan-24 7:02 
GeneralMy vote of 5 Pin
Ștefan-Mihai MOGA27-Oct-23 19:46
professionalȘtefan-Mihai MOGA27-Oct-23 19:46 
QuestionALPR Raspberry pi Pin
Member 1612561027-Oct-23 16:47
Member 1612561027-Oct-23 16:47 

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