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-0.1.69.tar.gz (117.1 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-0.1.69-py3-none-any.whl (126.7 kB view details)

Uploaded Python 3

File details

Details for the file ai_parrot_pipelines-0.1.69.tar.gz.

File metadata

  • Download URL: ai_parrot_pipelines-0.1.69.tar.gz
  • Upload date:
  • Size: 117.1 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-0.1.69.tar.gz
Algorithm Hash digest
SHA256 3bbf6bdc8937979d617b528e8f490650f01169b118864ff2d56d87a38434623a
MD5 a88d2c67a9ef612ee58e02195565dcf1
BLAKE2b-256 73d0a556d5d8a303e160638b42a9b0ba7d9918c1ac6ddb2bfdbf23ef77be4e77

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_pipelines-0.1.69.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-0.1.69-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_parrot_pipelines-0.1.69-py3-none-any.whl
Algorithm Hash digest
SHA256 c7a90f70a530e20eef6ddb1b7530d5c71978d8476202373cde2e9fbd5c25275d
MD5 7f5b4b2cab0003dc98a675ffa20281e1
BLAKE2b-256 db56cf8268aa75fb4d00e2b4372a6ed8464781988ab171be3b5e97c1859df2f3

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_pipelines-0.1.69-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