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-0.1.48.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-0.1.48-py3-none-any.whl (123.5 kB view details)

Uploaded Python 3

File details

Details for the file ai_parrot_pipelines-0.1.48.tar.gz.

File metadata

  • Download URL: ai_parrot_pipelines-0.1.48.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-0.1.48.tar.gz
Algorithm Hash digest
SHA256 3f61ff911c50165f94fea1a23a6d1430b069d11cebb6675785832c60505285b9
MD5 8692c4cc8e5d87f9cc0ba49047196993
BLAKE2b-256 65503bcafb65bfe6194b4d06e194b50d78ef05cf10f869f8a2ab4600f32a5489

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_pipelines-0.1.48.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-0.1.48-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_parrot_pipelines-0.1.48-py3-none-any.whl
Algorithm Hash digest
SHA256 81cd923c4e0786223e532d7730c702aafdc26fa39759caab9a71dd20b1684aa6
MD5 d128651c5237aa962a73d7c34a9d8e63
BLAKE2b-256 cc68285534180624d6bec2f30d9bb4956a5cacdfbfd41382e4f55e217d1cff22

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_pipelines-0.1.48-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