AI-Parrot Pipelines
ai-parrot-pipelines provides vision and compliance pipelines for AI-Parrot agents. It includes planogram compliance checking, retail product detection, and image analysis workflows.
Installation
pip install ai-parrot-pipelines
Features
- Planogram Compliance — verify product placement against planogram specifications
- Retail Detection — detect products on shelves, graphic panels, and endcaps
- Abstract Pipeline — base class for building custom vision pipelines
- Abstract Detector — base class for object detection integrations
Available Pipelines
| Pipeline | Description |
|---|---|
PlanogramCompliance |
Full planogram compliance checking pipeline |
ProductOnShelves |
Detect and validate products on shelf displays |
GraphicPanelDisplay |
Validate graphic panel displays |
RetailDetector |
General retail product detection |
Quick Start
from parrot_pipelines.planogram.plan import PlanogramCompliance
from parrot_pipelines.models import PlanogramConfig
config = PlanogramConfig(
image_path="shelf_photo.jpg",
reference_path="planogram_spec.json",
)
pipeline = PlanogramCompliance(config=config)
result = await pipeline.run()
Dependencies
- Python >= 3.11
- ai-parrot >= 0.24.2
- opencv-python-headless >= 4.8
- pytesseract >= 0.3.13
Note: pytesseract requires Tesseract OCR installed on your system.
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for ai-parrot-pipelines 1.0.5
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| ai_parrot_pipelines-1.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 242.9 kB
Release files / ai_parrot_pipelines-1.0.5.tar.gz
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