chsbusch-dot/codeproject.ai-alpr — explained in plain English
Analysis updated 2026-05-18
Add automatic license plate recognition to a CodeProject.AI Server installation.
Debug or extend the ALPR module using Visual Studio Code alongside the main server.
Package the module for distribution through the server's build scripts.
| chsbusch-dot/codeproject.ai-alpr | 0xhassaan/nn-from-scratch | 3ks/embedoc | |
|---|---|---|---|
| Stars | 0 | 0 | — |
| Language | Python | Python | Python |
| Last pushed | — | — | 2023-06-08 |
| Maintenance | — | — | Dormant |
| Setup difficulty | hard | moderate | hard |
| Complexity | 4/5 | 4/5 | 1/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires cloning and setting up a separate server repo alongside this module in a specific folder structure, GPU not supported on Linux.
This repository is an add-on module for a separate project called CodeProject.AI Server. It adds Automatic License Plate Recognition, or ALPR, meaning it can detect and read vehicle license plates from images or video. The module itself is not meant to be downloaded and used directly from this repository. Instead, it is normally installed through the CodeProject.AI Server's own dashboard once that server is running. The README is written for developers who want to build or debug the module themselves rather than for end users. It explains that GPU acceleration is not currently supported on Linux, so this module currently relies on CPU processing on that platform. To work on the code, you need to clone two separate repositories side by side in specific folders: the main CodeProject.AI Server repository, and this ALPR module repository, placed inside a folder named CodeProject.AI-Modules. There are setup scripts for both Windows and Linux or macOS that configure the server and, if the folder structure is correct, this module as well. After setup, the server is opened and run in Visual Studio Code, which loads this module's settings automatically. From there, the module can be started either through the server's own dashboard or run separately for debugging inside the code editor. The README also includes commands for packaging the module into a distributable form, again using scripts that live in the main server repository rather than this one. Overall, this project is a narrow, developer-facing piece meant to plug into a larger AI server system rather than a standalone application.
A license plate recognition add-on module that plugs into the CodeProject.AI Server, letting it detect and read vehicle plates from images.
Mainly Python. The stack also includes Python, CodeProject.AI Server, Visual Studio Code.
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly developer.
This repo across BitVibe Labs
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