我需要的是整体的完整代码,不能简化
时间: 2024-09-27 08:03:11 浏览: 23
理解您的需求,如果我们要构建一个完整的代码来处理多边形的扩展和IOU计算,这里是一个基础的Python示例,包括一个扩展函数和一个计算两个包络IOU的函数。这个例子使用了`shapely`库来进行几何操作:
```python
from shapely.geometry import Polygon, MultiPolygon
import matplotlib.pyplot as plt
def extend_polygon(polygon, factor=2):
exterior = polygon.exterior
points = list(exterior.coords) * factor
extended_poly = Polygon(points)
return extended_poly
def calculate_iou(poly1, poly2):
poly1_extended = extend_polygon(poly1)
poly2_extended = extend_polygon(poly2)
try:
overlap = poly1_extended.intersection(poly2_extended).area
except ValueError: # 如果没有交集,返回0
overlap = 0
union = poly1_extended.union(poly2_extended).area
iou = overlap / union if union > 0 else 0
return iou
# 示例数据
# 创建一些多边形示例
polygon1 = Polygon([(0, 0), (5, 0), (5, 5), (0, 5)])
polygon2 = Polygon([(2, 2), (4, 2), (4, 4), (2, 4)])
# 扩展并计算IOU
extended_polygon1 = extend_polygon(polygon1)
iou_value = calculate_iou(extended_polygon1, polygon2)
print(f"IoU between {polygon1} and {polygon2}: {iou_value}")
# 可视化
fig, ax = plt.subplots()
ax.add_patch(extended_polygon1)
ax.add_patch(polygon2)
plt.show()