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-0.1.41.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-0.1.41-py3-none-any.whl (123.4 kB view details)

Uploaded Python 3

File details

Details for the file ai_parrot_pipelines-0.1.41.tar.gz.

File metadata

  • Download URL: ai_parrot_pipelines-0.1.41.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-0.1.41.tar.gz
Algorithm Hash digest
SHA256 c01d45be3522c20b378e67bcfe8140c200aac8567358f95438cbd1886a761118
MD5 72ab84cfd9553650c528e3359d7f2f32
BLAKE2b-256 d3f809ef99d0fdb289090d46065f88ce175acb536ffbee79f312d795b78c2edd

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_pipelines-0.1.41.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-0.1.41-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_parrot_pipelines-0.1.41-py3-none-any.whl
Algorithm Hash digest
SHA256 8fcfc6c31dabeb1e632e07f81ee756ce0667603324f8e01bb4980465d25f7a17
MD5 71834f3b94959afb7282ef1adb6009ba
BLAKE2b-256 b98ec5a6cfc326459d02547311cbcbe73d0672d451943d46deeb802bb01fe2c5

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_pipelines-0.1.41-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