本文整理汇总了Python中pyclipper.PFT_EVENODD属性的典型用法代码示例。如果您正苦于以下问题：Python pyclipper.PFT_EVENODD属性的具体用法？Python pyclipper.PFT_EVENODD怎么用？Python pyclipper.PFT_EVENODD使用的例子？那么恭喜您, 这里精选的属性代码示例或许可以为您提供帮助。您也可以进一步了解该属性所在类pyclipper的用法示例。
在下文中一共展示了pyclipper.PFT_EVENODD属性的3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: make_valid_pyclipper
# 需要导入模块: import pyclipper [as 别名]
# 或者: from pyclipper import PFT_EVENODD [as 别名]
def make_valid_pyclipper(shape):
"""
Use the pyclipper library to "union" a polygon on its own. This operation
uses the even-odd rule to determine which points are in the interior of
the polygon, and can reconstruct the orientation of the polygon from that.
The pyclipper library is robust, and uses integer coordinates, so should
not produce any additional degeneracies.
Before cleaning the polygon, we remove all degenerate inners. This is
useful to remove inners which have collapsed to points or lines, which can
interfere with the cleaning process.
"""
# drop all degenerate inners
clean_shape = _drop_degenerate_inners(shape)
pc = pyclipper.Pyclipper()
try:
pc.AddPaths(_coords(clean_shape), pyclipper.PT_SUBJECT, True)
# note: Execute2 returns the polygon tree, not the list of paths
result = pc.Execute2(pyclipper.CT_UNION, pyclipper.PFT_EVENODD)
except pyclipper.ClipperException:
return MultiPolygon([])
return _polytree_to_shapely(result) 示例2: iou_score
# 需要导入模块: import pyclipper [as 别名]
# 或者: from pyclipper import PFT_EVENODD [as 别名]
def iou_score(box1, box2):
"""Returns the Intersection-over-Union score, defined as the area of
the intersection divided by the intersection over the union of
the two bounding boxes. This measure is symmetric.
Args:
box1: The coordinates for box 1 as a list of (x, y) coordinates
box2: The coordinates for box 2 in same format as box1.
"""
if len(box1) == 2:
x1, y1 = box1[0]
x2, y2 = box1[1]
box1 = np.array([[x1, y1], [x2, y1], [x2, y2], [x1, y2]])
if len(box2) == 2:
x1, y1 = box2[0]
x2, y2 = box2[1]
box2 = np.array([[x1, y1], [x2, y1], [x2, y2], [x1, y2]])
if any(cv2.contourArea(np.int32(box)[:, np.newaxis, :]) == 0 for box in [box1, box2]):
warnings.warn('A box with zero area was detected.')
return 0
pc = pyclipper.Pyclipper()
pc.AddPath(np.int32(box1), pyclipper.PT_SUBJECT, closed=True)
pc.AddPath(np.int32(box2), pyclipper.PT_CLIP, closed=True)
intersection_solutions = pc.Execute(pyclipper.CT_INTERSECTION, pyclipper.PFT_EVENODD,
pyclipper.PFT_EVENODD)
union_solutions = pc.Execute(pyclipper.CT_UNION, pyclipper.PFT_EVENODD, pyclipper.PFT_EVENODD)
union = sum(cv2.contourArea(np.int32(points)[:, np.newaxis, :]) for points in union_solutions)
intersection = sum(
cv2.contourArea(np.int32(points)[:, np.newaxis, :]) for points in intersection_solutions)
return intersection / union 示例3: poly_intersect
# 需要导入模块: import pyclipper [as 别名]
# 或者: from pyclipper import PFT_EVENODD [as 别名]
def poly_intersect(subj, clip):
"""
"""
pc = pyclipper.Pyclipper()
pc.AddPath(clip, pyclipper.PT_CLIP, True)
pc.AddPath(subj, pyclipper.PT_SUBJECT, True)
solution = pc.Execute(
pyclipper.CT_INTERSECTION, pyclipper.PFT_EVENODD, pyclipper.PFT_EVENODD
)
return np.array(solution)