Skip to main content

Build computer vision systems using natural language with Groundlight

Project description

Groundlight Python SDK

Groundlight makes it simple to build reliable visual applications. Read the full documentation here.

Computer Vision powered by Natural Language

pip install groundlight

Build a working computer vision system in just a few lines of python:

from groundlight import Groundlight

gl = Groundlight()
det = gl.get_or_create_detector(name="doorway", query="Is the doorway open?")
img = "./docs/static/img/doorway.jpg"  # Image can be a file or a Python object
image_query = gl.submit_image_query(detector=det, image=img)
print(f"The answer is {image_query.result}")

How does it work?

Your images are first analyzed by machine learning (ML) models which are automatically trained on your data. If those models have high enough confidence, that's your answer. But if the models are unsure, then the images are progressively escalated to more resource-intensive analysis methods up to real-time human review. So what you get is a computer vision system that starts working right away without even needing to first gather and label a dataset. At first it will operate with high latency, because people need to review the image queries. But over time, the ML systems will learn and improve so queries come back faster with higher confidence.

Learn more

Some more resources you might like:

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

groundlight-0.19.0.tar.gz (90.2 kB view details)

Uploaded Source

Built Distribution

groundlight-0.19.0-py3-none-any.whl (243.7 kB view details)

Uploaded Python 3

File details

Details for the file groundlight-0.19.0.tar.gz.

File metadata

  • Download URL: groundlight-0.19.0.tar.gz
  • Upload date:
  • Size: 90.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.10.15 Linux/6.5.0-1025-azure

File hashes

Hashes for groundlight-0.19.0.tar.gz
Algorithm Hash digest
SHA256 d4ce65a4c5ced222181a3381065d0a7e40779528afdd98c9574847d111304327
MD5 a39ec5cf8fa71e6ba96860ca308c8f58
BLAKE2b-256 538e2efe806edb5255b8f75d266a197e13773ddb7e62f6dc1ed8445266268522

See more details on using hashes here.

File details

Details for the file groundlight-0.19.0-py3-none-any.whl.

File metadata

  • Download URL: groundlight-0.19.0-py3-none-any.whl
  • Upload date:
  • Size: 243.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.10.15 Linux/6.5.0-1025-azure

File hashes

Hashes for groundlight-0.19.0-py3-none-any.whl
Algorithm Hash digest
SHA256 670f7948e9998054c4d4dbc10e154e1e952cbb2a89fec7e6cc13354db905c2ad
MD5 2aa4ca739038953fe45feaf8f15c1bb8
BLAKE2b-256 1016e51bbf975f44029979fdb0cdc9624e6977e1d110da08aa89d22ccc31d3da

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page