Live fingerspelling recognition
Recognizes the American Sign Language manual alphabet (A–Z) in real time from webcam input.
signspell
signspell is a Python package for live American Sign Language fingerspelling recognition from a webcam. It can be used from the command line or as a library, and it ships with a pretrained model and webcam UI.
Overview
signspell is a Python package for live American Sign Language fingerspelling recognition. It focuses on the manual alphabet, using webcam video to identify letters A through Z in real time.
The project ships with a pretrained model, a polished webcam UI, and both command-line and library entry points. It is designed for users who want to run live recognition immediately, or embed the recognizer in their own code and process frames one at a time.
Features
Sequence-based recognition pipeline
Uses MediaPipe hand tracking with an LSTM model trained on 30-frame keypoint sequences.
Bundled model and UI
Includes a pretrained model and a polished webcam interface for immediate use.
CLI and library usage
Can be run as a command-line tool or imported as a Python library.
Runtime controls
Supports adjustable camera selection, confidence thresholding, and mirrored-view toggling from the CLI.
Bring-your-own-model support
Accepts a custom model path, with documented expectations for input shape and output classes.
Use Cases
Live alphabet recognition
Use signspell when you want to point a webcam at a signer’s hand and receive live A–Z letter predictions for fingerspelling practice or demo work.
Fast command-line experiments
Run the CLI when you want a quick, no-code way to test the bundled model, switch cameras, or adjust the confidence threshold.
Python app integration
Import the library in your own application when you need frame-by-frame recognition and want to integrate the recognizer into custom Python code.
Custom-model workflows
Load a custom model when you already have a trained `.h5` model and want signspell’s webcam workflow with your own weights.
Pros and Cons
Pros
- Recognizes the ASL manual alphabet in real time.
- Ships with a pretrained model and a webcam UI.
- Works from both the CLI and Python imports.
- Provides simple runtime controls for camera selection, confidence, and mirroring.
- Supports custom model loading for advanced users.
Cons
- The project page only documents webcam-based live recognition, so it is not positioned for offline or non-visual workflows.
- Custom models must match the documented input and output shape, which limits plug-in flexibility.
FAQ
How do I install signspell?
It is available as a Python package on PyPI and can be installed with `pip install signspell`. The project page also shows a versioned release, `1.0.1`.
What does signspell do?
The package runs live American Sign Language fingerspelling recognition from a webcam. It recognizes the manual alphabet (A–Z) in real time and can be launched from the command line or imported as a library.
What are the runtime requirements?
The project page says signspell requires Python 3.9–3.11 and a webcam for live recognition.
Can I use my own model with signspell?
Yes. The project includes a `--model path/to/your_model.h5` option and a `Recognizer(model_path=...)` constructor, so you can point it at your own model if it matches the expected input and output shape.
What controls are available in the webcam UI?
The source description lists in-window controls for the UI: `q` quits, `c` clears the sentence, and `SPACE` inserts a space.
Quick Facts
- Category
- Developer Tool
- Package name
- signspell
- Version
- 1.0.1
- License
- MIT License
- Python compatibility
- Python 3.9–3.11
- Primary interface
- Webcam UI, CLI, and library
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