import numpy as np import cv2 class image_restoration(): def mat_motion_blur(image, alpha): #对一个角度进行运动模糊处理 height, width = image.shape[:2] mat = np.zeros((height, width)) center = (height - 1)/2 tangent =
Thenumpy.arctan2()method computes the element-wise arc tangent (inverse tangent) ofy / x, whereyandxare arrays. Example importnumpyasnp# create arrays for y and x coordinatesy = np.array([1,-1,1,-1]) x = np.array([1,1,-1,-1]) # compute the element-wise arc tangent of y ...
2)numpy.absolute 绝对值 numpy.absolute(x, *args, **kwargs) Calculate the absolute value element-wise. 3)numpy.abs numpy.abs(x, *args, **kwargs) is a shorthand for this function. 4)numpy.sign 返回数字符号的逐元素指示 numpy.sign(x, *args, **kwargs) Returns an element-wise indication...
import cmath myNum=3+2j print("Complex number is:",myNum) print("Sine of the complex number is:",cmath.sin(myNum)) print("Cosine of the complex number is:",cmath.cos(myNum)) print("Tangent of the complex number is:",cmath.tan(myNum)) print("Inverse Sine of the complex numb...
NumPy:用于数值计算基础库,提供多维数组和各种数学函数,用于高效地执行向量化操作。 Pandas:用于数据处理和分析的库,提供DataFrame数据结构,使数据清洗、转换更加方便。 Matplotlib:用于绘制各种类型的图形和可视化的库,是数据可视化的重要工具。 Seaborn:建立在Matplotlib之上的库,提供更高级和美观的统计图表。 Plotly:用于创...
arctan() the inverse tangent degrees() converts an angle in radians to degrees radians() converts an angle in degrees to radians Let's see the examples. import numpy as np # array of angles in radians angles = np.array([0, 1, 2]) print("Angles:", angles) # compute the sine of...
get_bias_for_gate(self: tensorrt.tensorrt.IRNNv2Layer, layer_index: int, gate: tensorrt.tensorrt.RNNGateType, is_w: bool) → numpy.ndarray Get the bias parameters for an individual gate in the RNN. Parameters layer_index –The index of the layer that contains this gate. gate –The...
The heart of NumPy is the high-performance N-dimensional (multidimensional) array data structure. This array allows you to perform mathematical operations on an entire array without looping over the elements. All of the functions in the library are optimized to work with the N-dimensional array ...
Tangent is still an experiment, so expect some bugs. If you report them to us on GitHub, we will do our best to fix them quickly. We are working to add support in Tangent for more aspects of the Python language (e.g., closures, inline function definitions, classes, more NumPy and Te...
The good news is you don’t need to painstakingly calculate those roots yourself. The quickest way to find them is by installing a third-party library such as NumPy and importing it to your project:Python >>> import numpy as np >>> np.roots([1, 0, 0, 0, 1]) # Coefficients of...