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-0.1.14.tar.gz (74.4 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-0.1.14-py3-none-any.whl (77.7 kB view details)

Uploaded Python 3

File details

Details for the file ai_parrot_pipelines-0.1.14.tar.gz.

File metadata

  • Download URL: ai_parrot_pipelines-0.1.14.tar.gz
  • Upload date:
  • Size: 74.4 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-0.1.14.tar.gz
Algorithm Hash digest
SHA256 03e2e7ddb135a2de590769d4086c365bdaea8b06b3e3ee03e6629f6f49dd8a7c
MD5 75f23569f3f5ad2e647d072f5724af42
BLAKE2b-256 bf53f5bad57f92cd8a452ed28a5441237a9c1a4c7e525709bd760f8838685ba3

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_pipelines-0.1.14.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-0.1.14-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_parrot_pipelines-0.1.14-py3-none-any.whl
Algorithm Hash digest
SHA256 341c76cec7d31f0b1d3e094a045e3a675d6d4745652bb089b4bd056c6f4e40c8
MD5 e711d3c370580344ce9da5cbdf9ded29
BLAKE2b-256 2910c2fa7f2be9cbd9213fa7c6cd11c336727afd5eb02dfc1a0d7b8c09f9fee9

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_pipelines-0.1.14-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