How to convert Python code into matlab
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I have a Python code.how can I convert it into matlab code or is there any option of executing the same using matlab
5 Commenti
Evens MONTILUS
il 21 Ott 2023
import numpy as np
impot matplotlib.pyplot as plt
line=np.linspace(-5,5,1000)
#plt.plot(line,np.tanh(line), label=''tanh'')
#plt.plot(line,np.maximum(line,0), label=''sigmoid'')
plt.plot(line,1/(1+np.exp(-line)),label=''sigmoid'')
plt.legend(loc=''best'')
plt.xlabel(''z'')
#plt.ylabel(''Relu(x),tanh(x), sigmoid(x)'')
plt.ylabel(''sigmoid(z)'')
Risposte (4)
Rik
il 24 Ago 2018
5 Commenti
Rik
il 6 Ago 2020
Read on: "I have a Python code.how can I convert it into matlab code or is there any option of executing the same using matlab".
Anyway, a strict convert is theoretically possible (since both languages are Turing-complete), although this conversion is probably either not automatic, or not effecicient. You should either re-write it completely in Matlab, or run it as Python code. Unless you find/write a good Python2Matlab function, I know there are surprisingly good converters sometimes.
Evens MONTILUS
il 21 Ott 2023
import numpy as np
impot matplotlib.pyplot as plt
line=np.linspace(-5,5,1000)
#plt.plot(line,np.tanh(line), label=''tanh'')
#plt.plot(line,np.maximum(line,0), label=''sigmoid'')
plt.plot(line,1/(1+np.exp(-line)),label=''sigmoid'')
plt.legend(loc=''best'')
plt.xlabel(''z'')
#plt.ylabel(''Relu(x),tanh(x), sigmoid(x)'')
plt.ylabel(''sigmoid(z)'')
Gautam Takoo
il 21 Gen 2022
Modificato: Gautam Takoo
il 21 Gen 2022
I have a Python code.how can I convert it into matlab code or is there any option of executing the same using matlab
import cv2
from PIL import Image
import numpy as np
from glob import glob
import os
def main():
# path of the folder containing the raw images
inPath =("Z://Randomimages")
# path of the folder that will contain the modified image
outPath =("Z:/normaltogray")
for files in os.walk(inPath):
for imagePath in os.listdir(inPath):
if not imagePath.endswith(".jpg"):
print("{} file is not an expected file".format(imagePath))
continue
inputPath = os.path.join(inPath, imagePath)
img = np.array(Image.open(inputPath))
if imagePath.startswith('T1_E1'):
roi = img[1360:1470,850:2700]
elif imagePath.startswith('T1_E2'):
roi= img[1370:1450,920:2770]
gray=cv2.cvtColor(roi,cv2.COLOR_BGR2GRAY)
fullOutPath = os.path.join(outPath,imagePath)
cv2.imwrite(fullOutPath,gray)
print(fullOutPath)
cv2.waitKey(0)
cv2.destroyAllWindows()
# Driver Function
if __name__ == '__main__':
main()
#
2 Commenti
Rik
il 21 Gen 2022
If you didn't bother reading my answer, why should I bother responding to your question?
Walter Roberson
il 21 Gen 2022
together with imcrop() and rgb2gray()
Yalew Mekonnen
il 24 Gen 2022
This may help you. There are a number of ducoments and videos related to using MATLAB with Python.
0 Commenti
ASHOK KUMAR MEENA
il 18 Apr 2022
def Lagrange(x, y, n, xx):
sum = 0
for i in range(0, n + 1):
product = y[i]
for j in range(0, n + 1):
if (i != j):
product = product * (xx - x[j]) / (x[i] - x[j])
sum += product
return sum
def Trapezoidal(h, n, f):
sum = f[0]
for i in range (1, n):
sum = sum + 2 * f[i]
sum = sum + f[n]
ans = h * sum / 2
return ans
0 Commenti
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