simplevision 0.5.1

Run SimpleVision computer-vision pipelines from Python — a student-friendly companion to the SimpleVision editor.

simplevision

Run SimpleVision computer-vision pipelines from Python.

SimpleVision is a learning tool for students: you build a vision pipeline visually in the desktop editor (threshold, blob detect, color match, geometric match, OCR, …), tick the measurements you care about, and the editor saves the pipeline as a single .simplevision JSON file. This library is the companion that runs that pipeline from Python so you can plug the measurements into your own code.

Install

pip install simplevision

OCR is optional (it pulls in RapidOCR + ONNX Runtime, ~300 MB):

pip install "simplevision[ocr]"

Use it

Open your pipeline in the SimpleVision editor, tick the measurements you want in Output Control, and save. Then in Python:

from simplevision import Pipeline

p = Pipeline.load("my_pipeline.simplevision")
p.run()

# Each name below is one you typed in the editor's Output Control panel.
if p.outputs.MatchPercentage[0] > 0.85:
    print("Match found at", p.outputs.Centroids[0])

Pass your own frame to p.run() to process many images through the same pipeline:

import cv2
for path in ["frame_001.png", "frame_002.png", "frame_003.png"]:
    p.run(path)
    print(path, "->", p.outputs.Count)

print(p.outputs) shows everything readably — handy while you're getting oriented.

What's in the package

• simplevision.Pipeline, simplevision.Outputs, simplevision.Point — the student-facing API.
• simplevision.runtime — the execution engine. You normally don't import this directly; the desktop app uses it as a sidecar and Pipeline.run() drives it under the hood. The runtime is documented in docs/pipeline-spec.md if you want to build pipelines without the editor.

License

Apache-2.0. See LICENSE and NOTICE.