ensuring that that source measure and image are consistent for all measure subpixel registers

from autocnet import Session, config

from autocnet.matcher import naive_template

from autocnet.matcher import ciratefi

from autocnet.io.db.model import Points, Images, JsonEncoder

from autocnet.io.db.model import Measures, Points, Images, JsonEncoder

from autocnet.graph.node import NetworkNode

import geopandas as gpd

    return dx, dy, metrics

    x_shift, y_shift, strength = naive_template.pattern_match(template, image, **kwargs)

    return x_shift, y_shift, strength

def subpixel_ciratefi(sx, sy, dx, dy, s_img, d_img, search_size=251, template_size=51, **kwargs):

    """

    Uses a pattern-matcher on subsets of two images determined from the passed-in keypoints and optional sizes to