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-0.1.15.tar.gz (78.0 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-0.1.15-py3-none-any.whl (80.8 kB view details)

Uploaded Python 3

File details

Details for the file ai_parrot_pipelines-0.1.15.tar.gz.

File metadata

  • Download URL: ai_parrot_pipelines-0.1.15.tar.gz
  • Upload date:
  • Size: 78.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for ai_parrot_pipelines-0.1.15.tar.gz
Algorithm Hash digest
SHA256 9aff1d2f14b6963cf50715de0016178d9d2926233baed38d35adca5119fe5543
MD5 2ea86ecdff4ba5ed01379885ea24fe7e
BLAKE2b-256 74064cc9075b001ca35797e51620510dc2f14e6a41d8b326089d46b51bbef98f

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_pipelines-0.1.15.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-0.1.15-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_parrot_pipelines-0.1.15-py3-none-any.whl
Algorithm Hash digest
SHA256 eb6b4a3f709d15462ae5f545d15d5b5bdb7dd6e2e7eed9ef14f2b68ca735ef2e
MD5 a217ae6013b415c7eadd1f2b63e34e87
BLAKE2b-256 35b4c25534707dcce982e1389c2d41e24e55b0b38e8a789e3232007bb8a89a20

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_pipelines-0.1.15-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