points = np.array([[0.0, 0.0, 0.0] for i in range(8)]) z_dir = np.array([0.0, 0.0, 1.0]) points[0] = center + dir * (height * 0.5) + ortho_dir * (width * 0.5) - z_dir * (deep * 0.5) points[1] = center - dir * (height * 0.5) + ortho_dir * (width * 0.5) - z_dir * (deep * 0.5) points[2] = center - dir * (height * 0.5) - ortho_dir * (width * 0.5) - z_dir * (deep * 0.5) points[3] = center + dir * (height * 0.5) - ortho_dir * (width * 0.5) - z_dir * (deep * 0.5) points[4] = center + dir * (height * 0.5) + ortho_dir * (width * 0.5) + z_dir * (deep * 0.5) points[5] = center - dir * (height * 0.5) + ortho_dir * (width * 0.5) + z_dir * (deep * 0.5) points[6] = center - dir * (height * 0.5) - ortho_dir * (width * 0.5) + z_dir * (deep * 0.5) points[7] = center + dir * (height * 0.5) - ortho_dir * (width * 0.5) + z_dir * (deep * 0.5) points = [[points[point_id, 0], points[point_id, 1], points[point_id, 2]] for point_id in range(8)] points = np.array(points) lines = [[0, 1], [1, 2], [2, 3], [3, 0], [4, 5], [5, 6], [6, 7], [7, 4], [0, 4], [1, 5], [2, 6], [3, 7]]结婚死一下这段代码
时间: 2023-10-29 08:05:49 浏览: 30
这段代码使用 NumPy 库创建了一个包含 8 个三维坐标点的立方体,并定义了它们之间的连线,以便后续的可视化。具体来说,代码的实现步骤如下:
1. 创建一个包含 8 个元素的一维数组 points,每个元素都是一个包含 3 个浮点数的一维数组,表示三维坐标点的 x、y、z 坐标值,初始值都是 0.0。
2. 创建一个包含 3 个浮点数的一维数组 z_dir,表示三维空间中的 z 轴方向。
3. 根据立方体的中心点 center 、方向 dir 、垂直方向的向量 ortho_dir 、高度 height 、宽度 width 和深度 deep 计算出 8 个点的坐标,并分别赋值给 points 数组的不同元素。
4. 将 points 数组转换为一个列表,再将每个列表元素转换为一个包含 3 个浮点数的一维数组,以便后续的可视化。
5. 创建一个列表 lines,其中每个元素都是一个包含 2 个整数的一维数组,表示两个点的索引,表示这两个点之间有一条连线。
完整代码如下:
```
import numpy as np
def create_cube(center, dir, ortho_dir, height, width, deep):
points = np.array([[0.0, 0.0, 0.0] for i in range(8)])
z_dir = np.array([0.0, 0.0, 1.0])
points[0] = center + dir * (height * 0.5) + ortho_dir * (width * 0.5) - z_dir * (deep * 0.5)
points[1] = center - dir * (height * 0.5) + ortho_dir * (width * 0.5) - z_dir * (deep * 0.5)
points[2] = center - dir * (height * 0.5) - ortho_dir * (width * 0.5) - z_dir * (deep * 0.5)
points[3] = center + dir * (height * 0.5) - ortho_dir * (width * 0.5) - z_dir * (deep * 0.5)
points[4] = center + dir * (height * 0.5) + ortho_dir * (width * 0.5) + z_dir * (deep * 0.5)
points[5] = center - dir * (height * 0.5) + ortho_dir * (width * 0.5) + z_dir * (deep * 0.5)
points[6] = center - dir * (height * 0.5) - ortho_dir * (width * 0.5) + z_dir * (deep * 0.5)
points[7] = center + dir * (height * 0.5) - ortho_dir * (width * 0.5) + z_dir * (deep * 0.5)
points = [[points[point_id, 0], points[point_id, 1], points[point_id, 2]] for point_id in range(8)]
points = np.array(points)
lines = [[0, 1], [1, 2], [2, 3], [3, 0], [4, 5], [5, 6], [6, 7], [7, 4], [0, 4], [1, 5], [2, 6], [3, 7]]
return points, lines
# 示例用法
center = np.array([0.0, 0.0, 0.0])
dir = np.array([0.0, 1.0, 0.0])
ortho_dir = np.array([1.0, 0.0, 0.0])
height = 1.0
width = 1.0
deep = 1.0
points, lines = create_cube(center, dir, ortho_dir, height, width, deep)
print(points)
print(lines)
```