使用原始点列表在 Python/cv2 中查找重叠矩形的区域

Ale*_*xis 2 python opencv coordinates python-3.x cv2

我有一个矩形的坐标x1, y1, x2,y2和其他矩形的其他坐标列表。

我想将我已经拥有的值与其他值进行比较,以查看它们是否比50%原始矩形重叠更多。

我检查了其他资源,但仍然可以理解它:

Dan*_*ger 5

让我们首先将您的问题简化为单一维度:

你有一个区间A = [a0, a1],想知道另一个区间B = [b0, b1]与它相交多少。我将代表A=B-

有6种可能的情况:

基于此,我们可以定义一个函数,在给定两个区间A = [a0, a1]和 的情况下B = [b0, b1],返回它们相交的程度:

def calculateIntersection(a0, a1, b0, b1):
    if a0 >= b0 and a1 <= b1: # Contained
        intersection = a1 - a0
    elif a0 < b0 and a1 > b1: # Contains
        intersection = b1 - b0
    elif a0 < b0 and a1 > b0: # Intersects right
        intersection = a1 - b0
    elif a1 > b1 and a0 < b1: # Intersects left
        intersection = b1 - a0
    else: # No intersection (either side)
        intersection = 0

    return intersection
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这几乎就是你需要的一切。要找出两个矩形相交多少,您只需要在XY轴上执行此函数并将这些数量相乘以获得相交区域:

# The rectangle against which you are going to test the rest and its area:
X0, Y0, X1, Y1, = [0, 0, 10, 10]
AREA = float((X1 - X0) * (Y1 - Y0))

# Rectangles to check
rectangles = [[15, 0, 20, 10], [0, 15, 10, 20], [0, 0, 5, 5], [0, 0, 5, 10], [0, 5, 10, 100], [0, 0, 100, 100]]

# Intersecting rectangles:
intersecting = []

for x0, y0, x1, y1 in rectangles:       
    width = calculateIntersection(x0, x1, X0, X1)        
    height = calculateIntersection(y0, y1, Y0, Y1)        
    area = width * height
    percent = area / AREA

    if (percent >= 0.5):
        intersecting.append([x0, y0, x1, y1])
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结果将是:

  • [15, 0, 20, 10]在 X 轴上不相交,所以width = 0.
  • [0, 15, 10, 20]在 Y 轴上不相交,所以height = 0.
  • [0, 0, 5, 5]只相交25%
  • [0, 0, 5, 10]相交50%并将被添加到intersecting.
  • [0, 5, 10, 100]相交50%并将被添加到intersecting.
  • [0, 0, 100, 100]相交100%并将被添加到intersecting.