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-0.1.38.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-0.1.38-py3-none-any.whl (123.4 kB view details)

Uploaded Python 3

File details

Details for the file ai_parrot_pipelines-0.1.38.tar.gz.

File metadata

  • Download URL: ai_parrot_pipelines-0.1.38.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-0.1.38.tar.gz
Algorithm Hash digest
SHA256 c5c24acc65953cab6cb0558cf72407e0baecbc482b0604c199d7933a5399fd9c
MD5 26a8e9e36eefcfc06a973ad4905da793
BLAKE2b-256 1894e0175a2ced65c71a0667e16a95e1a6552c9a1fe0db4aa7c4889935ba38b9

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_pipelines-0.1.38.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-0.1.38-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_parrot_pipelines-0.1.38-py3-none-any.whl
Algorithm Hash digest
SHA256 cd23b4404af71f37055052c3f0746d0fda9b082fdec0f7380bfcd04f91102dd9
MD5 e445608458fd4e9eda0af5b3474a53bf
BLAKE2b-256 4d3fc535a4edeb9cb4c0ce43fd35b919ace30125def24d274a73fe797e51009d

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_pipelines-0.1.38-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