程序运行提示ValueError: could not broadcast input array from shape (921600,) into shape (307200,),优化程序 def compute(self): t1 = time.time() depth = np.asarray(self.depth, dtype=np.uint16).T # depth[depth==65535]=0 self.Z = depth / self.depth_scale fx, fy, cx, cy = self.camera_intrinsics X = np.zeros((self.width, self.height)) Y = np.zeros((self.width, self.height)) for i in range(self.width): X[i, :] = np.full(X.shape[1], i) self.X = ((X - cx / 2) * self.Z) / fx for i in range(self.height): Y[:, i] = np.full(Y.shape[0], i) self.Y = ((Y - cy / 2) * self.Z) / fy data_ply = np.zeros((6, self.width * self.height)) data_ply[0] = self.X.T.reshape(-1) data_ply[1] = -self.Y.T.reshape(-1) data_ply[2] = -self.Z.T.reshape(-1) img = np.array(self.rgb, dtype=np.uint8) data_ply[3] = img[:, :, 0:1].reshape(-1) data_ply[4] = img[:, :, 1:2].reshape(-1) data_ply[5] = img[:, :, 2:3].reshape(-1) self.data_ply = data_ply t2 = time.time() print('calcualte 3d point cloud Done.', t2 - t1)
时间: 2023-11-28 13:03:55 浏览: 57
根据报错信息,可以看出是在数据维度转换的过程中出现了问题。具体来说,`self.X.T.reshape(-1)`、`-self.Y.T.reshape(-1)` 和 `-self.Z.T.reshape(-1)` 这三行代码中,将二维数组转换成了一维数组,并且数组长度发生了变化。其中,`self.X`、`self.Y` 和 `self.Z` 都是形状为 `(self.width, self.height)` 的二维数组,转换成一维数组之后,长度应该是 `self.width * self.height`。但是由于错误提示中提到的维度不匹配问题,可以猜测有些数据的长度没有正确计算。
为了解决这个问题,可以在调用 `reshape` 函数之前,先打印出相应数组的形状,确保长度计算正确。同时,也可以使用 `flatten` 函数代替 `reshape(-1)`,这样可以保证不改变数组的长度和维度。修改后的代码如下:
```
data_ply[0] = self.X.T.flatten()
data_ply[1] = -self.Y.T.flatten()
data_ply[2] = -self.Z.T.flatten()
```
相关问题
ValueError: could not broadcast input array from shape (921600,) into shape (307200,)
这个错误通常是由于在进行数据操作时,输入数组的形状与所需的形状不匹配而引起的。例如,将一个形状为(921600,)的数组广播到一个形状为(307200,)的数组时就会出现这个错误。您可以通过检查输入和输出数组的形状来解决这个问题。
请注意,如果您正在使用NumPy进行数组操作,可能需要使用`reshape()`函数来更改数组的形状。如果您正在使用其他库,请查阅相应的文档以了解如何更改数组的形状。
以下是一个示例代码,可以帮助您更好地理解如何解决这个错误:
```python
import numpy as np
# 创建一个形状为(921600,)的数组
a = np.random.rand(921600)
# 将a重塑成(307200,3)的形状
b = a.reshape(307200,3)
# 输出b的形状
print(b.shape)
```
这个示例代码将一个形状为(921600,)的数组a重塑成了一个形状为(307200,3)的数组b,从而避免了上述错误。
matlab ValueError: could not broadcast input array from shape (8,1) into shape (8,)
This error occurs when you are trying to perform an operation that requires two arrays to have the same shape, but they actually have different shapes. In this case, one array has shape (8,1) and the other has shape (8).
To fix this error, you need to reshape one of the arrays so that it has the same shape as the other. You can use the numpy.reshape function to do this. For example, if you have an array A with shape (8,1), you can reshape it into an array with shape (8,) using the following code:
```
import numpy as np
A = np.reshape(A, (8,))
```
This will reshape the array A to have shape (8,) by collapsing the second dimension. Now you can perform operations with arrays of the same shape without getting the "ValueError: could not broadcast input array from shape (8,1) into shape (8,)" error.