numpy.clip(a, a_min, a_max, out=None) Clip (limit) the values in an array. Given an interval, values outside the interval are clipped to the interval edges. For example, if an interval of [0, 1] is specified, values smaller than 0 become 0, and values larger than 1 become 1....
1 导入库创建一个随机数组 首先导入numpy库,生成一个随机数组,具体代码如下: 2 对数组应用clip函数进行截取 接着应用clip函数对数组进行截取,代码如下: #对数组进行截取,最小值为0.2,最大值为0.5 clipped_arr = np.clip(arr, 0.2, 0.5) #输出截取后的数组 print(clipped_arr) 得到结果: [[0.40703361 0.5 0...
numpy.clip(a, a_min, a_max, out=None) Clip (limit) the values in an array. Given an interval, values outside the interval are clipped to the interval edges. For example, if an interval of [0, 1] is specified, values smaller than 0 become 0, and values larger than 1 become 1....
numpy.clip(a,a_min,a_max,out=None) Clip (limit) the values in an array. Given an interval, values outside the interval are clipped to the interval edges. For example, if an interval of[0,1]is specified, values smaller than 0 become 0, and values larger than 1 become 1. Parameters...
当我们需要将数组中的所有负值剪辑为零时,可以将a_min设置为0,a_max设置为无穷大(使用numpy.inf表示)。 示例代码 以下是使用Numpyclip()函数的一些示例代码,展示如何将不同数组中的负值剪辑为零。 示例1: 基本使用 importnumpyasnp# 创建一个包含负值的数组arr=np.array([-3,-1,0,1,2,-2,5,-5,numpy...
import numpy as np from polygraphy.logger import G_LOGGER G_LOGGER.module_severity = {'': G_LOGGER.VERBOSE} from colored import stylize, fg from polygraphy import constants import onnx from itertools import tee from polygraphy.backend.common import SaveBytes ...
numpy.clip(a, a_min, a_max, out=None)Clip(limit) the values in an array.Given an interval, values outside the interval are clipped to the interval edges. For example, if an interval of [0, 1] is specified, values smaller than 0 become 0, and values lar ...
numpy.clip(a, a_min, a_max, out=None)Clip(limit) the values in an array.Given an interval, values outside the interval are clipped to the interval edges. For example, if an interval of [0, 1] is specified, values smaller than 0 become 0, and values lar ...
AI代码解释 Examples--->>>a=np.arange(10)>>>np.clip(a,1,8)array([1,1,2,3,4,5,6,7,8,8])>>>aarray([0,1,2,3,4,5,6,7,8,9])>>>np.clip(a,3,6,out=a)array([3,3,3,3,4,5,6,6,6,6])>>>a=np.arange(10)>>>aarray([0,1,2,3,4,5,6,7,8,9])>>>np.cl...
[0]).numpy(), text.argmax(axis=-1).numpy() ) for i, j in index: select.append(x[int(i), int(j)]) x = paddle.stack(select) @ self.text_projection return x def forward(self, image, text): image_features = self.encode_image(image) text_features = self.encode_text(text) #...