Skip to main content

Pipelines for AI-Parrot planogram and vision workflows

Project description

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

Note: pytesseract requires Tesseract OCR installed on your system.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ai_parrot_pipelines-0.1.47.tar.gz (114.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ai_parrot_pipelines-0.1.47-py3-none-any.whl (123.5 kB view details)

Uploaded Python 3

File details

Details for the file ai_parrot_pipelines-0.1.47.tar.gz.

File metadata

  • Download URL: ai_parrot_pipelines-0.1.47.tar.gz
  • Upload date:
  • Size: 114.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for ai_parrot_pipelines-0.1.47.tar.gz
Algorithm Hash digest
SHA256 471065f2b727efaf6640f55fbfc0fa24c699df9a4a224c33c653f34e8b11dce8
MD5 3a1c88f4c18d13e4c1678d7605e308ef
BLAKE2b-256 14297eb5f172c1e47fa932da912a231e7f84cbdfaadf99a4c3889ea3f4076b53

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_pipelines-0.1.47.tar.gz:

Publisher: release.yml on phenobarbital/ai-parrot

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file ai_parrot_pipelines-0.1.47-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_parrot_pipelines-0.1.47-py3-none-any.whl
Algorithm Hash digest
SHA256 942bb27666edca516da4caf77d6e1eca656cf84fa6e35b0d4662b8e90d6431f3
MD5 a1e97c754f457dda2322b5fce8bcbeac
BLAKE2b-256 6596bdb09972bab863ecceded1a5d4f424d7d199114ea6d7d35d18e87da701d1

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_pipelines-0.1.47-py3-none-any.whl:

Publisher: release.yml on phenobarbital/ai-parrot

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page