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:
2 maintainers
Metadata
2 maintainers
Release files for groundlight 1.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| groundlight-1.3.1.tar.gz | 143.0 kB | Without provenance | Details for groundlight-1.3.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| groundlight-1.3.1-py3-none-any.whl | Python 3 | none | any | Details for groundlight-1.3.1-py3-none-any.whl |
Total release size: 565.0 kB
Release files / groundlight-1.3.1.tar.gz
| Download URL | groundlight-1.3.1.tar.gz |
|---|---|
| Size | 143.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
cae01995be23bf987fa321dd1d8760a9543a5bf3be75d150ec49de3d997c1363
|
|
BLAKE2b-256 checksum How to use checksums |
10c929a25e0e2fcc962a92323f3eaac0d36a529102af4ccea77f507aa494d376
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.1.3 CPython/3.11.17 Linux/6.17.0-1022-azure
|
Release files / groundlight-1.3.1-py3-none-any.whl
| Download URL | groundlight-1.3.1-py3-none-any.whl |
|---|---|
| Size | 422.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
49abf725aed02cc55e8560dc0c2e35ed9b915883bb05fc93f9d1690e0caf0eb3
|
|
BLAKE2b-256 checksum How to use checksums |
aa667b14404a2e6e8e1b71a33651f375f10400f408a7cf4f78e5ba133953d9e5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.1.3 CPython/3.11.17 Linux/6.17.0-1022-azure
|
Security for groundlight 1.3.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
