Our+Black+Box+represents+a+primitive+database.+It+can+save+an+integer+array+and+has+a+special+i+vari
时间: 2024-01-17 22:03:47 浏览: 61
我们的Black Box代表一个原始的数据库。它可以保存一个整数数组,并且有一个特殊的i变量。
以下是一个示例代码,演示了如何使用Black Box保存整数数组和访问i变量:
```python
class BlackBox:
def __init__(self):
self.array = []
self.i = 0
def save_array(self, arr):
self.array = arr
def get_i(self):
return self.i
def set_i(self, value):
self.i = value
# 创建一个Black Box对象
box = BlackBox()
# 保存整数数组到Black Box
array = [1, 2, 3, 4, 5]
box.save_array(array)
# 获取并打印i变量的值
print("i变量的值为:", box.get_i())
# 设置i变量的值为10
box.set_i(10)
# 再次获取并打印i变量的值
print("i变量的新值为:", box.get_i())
```
相关问题
reg = torch.unsqueeze(anchor,1) + regression
This code uses PyTorch's `unsqueeze()` function to add an extra dimension to the `anchor` tensor. Specifically, it adds a new dimension at index 1, which means that the tensor will have shape `(num_anchors, 1, 4)`, where `num_anchors` is the number of anchors and `4` represents the four values that define each anchor (i.e. the x and y coordinates of the top-left corner, and the width and height of the anchor box).
The purpose of adding this extra dimension is to prepare the `anchor` tensor for use in regression calculations. In object detection, regression is the process of adjusting the coordinates of the anchor boxes to better fit the object being detected. The `reg` tensor will be used to store the regression values for each anchor box, which will be used to adjust the box coordinates during training.
^.+\.(?i)(xls)$
This regular expression matches any string that ends with ".xls" or ".XLS". The "^" character at the beginning indicates that the match should start at the beginning of the string, and the "\." represents a literal period (since "." is a special character in regular expressions). The "(?i)" indicates that the match should be case-insensitive, and the "(xls)" matches the characters "xls" at the end of the string.
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