import numpy as np from numba import jit jit def VMD(signal, fs, T, alpha, tau, K, DC, init, tol): f_mirror = np.zeros((2*T)) for i in range(T//2): f_mirror[i] = signal[T//2-1-i] for k in range(T//2, 3*T//2): f_mirror[k] = signal[k - T // 2] for l i
概述
在使用keras中的keras.backend.batch_dot和tf.matmul实现功能其实是一样的智能矩阵乘法，比如A,B,C,D,E,F,G,H，I,J,K,L都是二维矩阵，中间点表示矩阵乘法，AG 表示矩阵A 和G 矩阵乘法（A 的列维度等于G 行维度），WX=Z
import keras.backend as K
import tensorflow as tf
import numpy as np
w = K.variable(np.random.randint(10,si
import numpy as np
import time
1.1 Gauss-Seidel迭代算法
def GaussSeidel_tensor_V2(A,b,Delta,m,n,M):
start=time.perf_counter()
find=0
X=np.ones(n)
d=np.ones(n)
m1=m-1
m2=2-m
for i in range(M):
print('X',X)
x=np.copy(X)
#迭代更新
for j in range(n):
a=np.copy(
在使用keras-yolov3 + Kalman-Filter 进行人体多目标追踪（含代码）做实验时遇到问题
TypeError: loop of ufunc does not support argument 0 of type Tensor which has no callable arctan method
报错行
self.u = np.round(np.dot(self.F, self.u))
＃或者
self.u = np.round(self.u + np.dot(K, (s
