本文整理汇总了Python中Utils.GeomUtils.strokeDTWDist方法的典型用法代码示例。如果您正苦于以下问题：Python GeomUtils.strokeDTWDist方法的具体用法？Python GeomUtils.strokeDTWDist怎么用？Python GeomUtils.strokeDTWDist使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Utils.GeomUtils的用法示例。
在下文中一共展示了GeomUtils.strokeDTWDist方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _isArrowHead
# 需要导入模块: from Utils import GeomUtils [as 别名]
# 或者: from Utils.GeomUtils import strokeDTWDist [as 别名]
def _isArrowHead(stroke, matcher):
numPts = 11
sNorm = GeomUtils.strokeNormalizeSpacing(stroke, numpoints = numPts)
curvatures = GeomUtils.strokeGetPointsCurvature(sNorm)
maxCurv = max(curvatures)
maxCurvIdx = curvatures.index(maxCurv)
#Make sure the max curvature is roughly in the middle of the stroke before even bothering
# with more complicated checks
if maxCurvIdx > (numPts / 5.0) and maxCurvIdx < ( 4 * numPts / 5.0):
strkLen = GeomUtils.strokeLength(stroke)
arrowHeadStroke = GeomUtils.strokeNormalizeSpacing(Stroke([sNorm.Points[0], sNorm.Points[maxCurvIdx], sNorm.Points[-1]]), numpoints = strkLen) #What would the approximated arrowhead look like?
origStroke = GeomUtils.strokeNormalizeSpacing(stroke, numpoints = strkLen)
approxAcc = GeomUtils.strokeDTWDist(sNorm, arrowHeadStroke)
#logger.debug("Stroke approximates arrowhead with %s accuracy" % (approxAcc))
return approxAcc < 500000
#_isArrowHead_Template(stroke, matcher) or _isArrowHead_Template(Stroke(list(reversed(stroke.Points))), matcher)
return False示例2: tagBox
# 需要导入模块: from Utils import GeomUtils [as 别名]
# 或者: from Utils.GeomUtils import strokeDTWDist [as 别名]
def tagBox(self, stroke):
endPointDistPct = 0.10 #How close (as % of length) the points have to be to each other
boxApproxThresh = 50000 #The DTW distance between the stroke and how it best fits a box
stkLen = GeomUtils.strokeLength(stroke)
ep1, ep2 = stroke.Points[0], stroke.Points[-1]
epDistSqr = GeomUtils.pointDistanceSquared(ep1.X, ep1.Y, ep2.X, ep2.Y)
if epDistSqr > (endPointDistPct * stkLen) ** 2:
print "Endpoints aren't close enough to be a box"
return
overshoot = max(1, len(stroke.Points)/10)
norm_stroke = GeomUtils.strokeSmooth(GeomUtils.strokeNormalizeSpacing(Stroke(stroke.Points + stroke.Points[0:overshoot]), numpoints = 70))
#D.strokeCurvatureHistogram(norm_stroke)
curvatures = GeomUtils.strokeGetPointsCurvature(norm_stroke)
corners = set([])
curvatures_cpy = list(curvatures)
while len(corners) < 4:
crnr_idx = curvatures_cpy.index(max(curvatures_cpy))
crnr = curvatures_cpy[crnr_idx] * 57.295
for nBor in range(crnr_idx -2, crnr_idx + 3):
if nBor < len(curvatures_cpy) and nBor > 0:
curvatures_cpy[nBor] = 0
if crnr > 0: #30 and crnr < 150:
#Have a curvature, and we haven't already classified its immed neighbors as a corner
corners.add(crnr_idx)
else:
break
if len(corners) != 4:
return
else:
c_list = [norm_stroke.Points[c_idx] for c_idx in sorted(list(corners))]
cornerStroke = Stroke(c_list + c_list[:2])
boxStroke = GeomUtils.strokeNormalizeSpacing(Stroke(c_list + [c_list[0]]))
origStroke = GeomUtils.strokeNormalizeSpacing(Stroke(stroke.Points + [stroke.Points[0]]))
approxAcc = GeomUtils.strokeDTWDist(boxStroke, origStroke)
print "Box approximates original with %s accuracy" % (approxAcc)
if approxAcc < boxApproxThresh:
self.getBoard().AnnotateStrokes([stroke], BoxAnnotation(c_list))