Add pyclipper to support RapidOCR

[yst-one]

Add pyclipper to support RapidOCR

[ndonkoHenri]

pyclipper 1.4.0 is now supported on iOS and Android: https://pypi.flet.dev/pyclipper

Add it to your app's dependencies:

dependencies = [
    "flet",
    "pyclipper",
]

Example:

import flet as ft
import flet.canvas as cv
import pyclipper


def main(page: ft.Page):
    page.title = "pyclipper demo"

    subj = [[80, 40], [220, 40], [220, 160], [80, 160]]  # blue square
    clip = [[150, 10], [270, 10], [270, 130], [150, 130]]  # green square

    pc = pyclipper.Pyclipper()
    pc.AddPath(clip, pyclipper.PT_CLIP, True)
    pc.AddPath(subj, pyclipper.PT_SUBJECT, True)
    result = pc.Execute(pyclipper.CT_INTERSECTION)[0]  # red overlap

    def edges(poly, color, w):
        ring = poly + [poly[0]]  # close the loop
        return [
            cv.Line(
                x1=a[0],
                y1=a[1],
                x2=b[0],
                y2=b[1],
                paint=ft.Paint(color=color, stroke_width=w),
            )
            for a, b in zip(ring, ring[1:])
        ]

    page.add(
        ft.Text("blue ∩ green = red — computed by pyclipper on-device"),
        cv.Canvas(
            shapes=edges(subj, ft.Colors.BLUE, 2)
            + edges(clip, ft.Colors.GREEN, 2)
            + edges(result, ft.Colors.RED, 4),
            width=300,
            height=200,
        ),
    )


ft.run(main)

Good to know:

• Integer coordinates: Clipper works in integer space. For float geometry, scale up with pyclipper.scale_to_clipper(...) before adding paths and back with scale_from_clipper(...) after — the standard fixed-point dance every real caller does.
• Pure compute, no assets, offline: No config/cache/model directories, no network, nothing to wire into Flet storage. Operations are fast C++; typical OCR-postprocessing workloads won't need a background thread, though you can push heavy batch geometry to page.run_thread(...) if it ever blocks the UI.
• Both platforms, all standard ABIs — no architecture restrictions.

[yst-one]

Great! With support for pyclipper, RapidOCR can now run normally on Android, making it effortless to deploy OCR models on Android devices.