Passer un programme python en C++

Bonjour,

Je voudrai de l'aide pour "traduire" ce programme en C++?

Je ne connais pas python mais j'ai besoin de ce programme...



# USAGE

# python distance_to_camera.py

# import the necessary packages

import numpy as np

import cv2



def find_marker(image):

# convert the image to grayscale, blur it, and detect edges

gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

gray = cv2.GaussianBlur(gray, (5, 5), 0)

edged = cv2.Canny(gray, 35, 125)



# find the contours in the edged image and keep the largest one;

# we'll assume that this is our piece of paper in the image

(cnts, _) = cv2.findContours(edged.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)

c = max(cnts, key = cv2.contourArea)



# compute the bounding box of the of the paper region and return it

return cv2.minAreaRect(c)



def distance_to_camera(knownWidth, focalLength, perWidth):

# compute and return the distance from the maker to the camera

return (knownWidth * focalLength) / perWidth



# initialize the known distance from the camera to the object, which

# in this case is 24 inches

KNOWN_DISTANCE = 24.0



# initialize the known object width, which in this case, the piece of

# paper is 12 inches wide

KNOWN_WIDTH = 11.0



# initialize the list of images that we'll be using

IMAGE_PATHS = ["images/2ft.png", "images/3ft.png", "images/4ft.png"]



# load the furst image that contains an object that is KNOWN TO BE 2 feet

# from our camera, then find the paper marker in the image, and initialize

# the focal length

image = cv2.imread(IMAGE_PATHS[0])

marker = find_marker(image)

focalLength = (marker[1][0] * KNOWN_DISTANCE) / KNOWN_WIDTH



# loop over the images

for imagePath in IMAGE_PATHS:

# load the image, find the marker in the image, then compute the

# distance to the marker from the camera

image = cv2.imread(imagePath)

marker = find_marker(image)

inches = distance_to_camera(KNOWN_WIDTH, focalLength, marker[1][0])



# draw a bounding box around the image and display it

box = np.int0(cv2.cv.BoxPoints(marker))

cv2.drawContours(image, [box], -1, (0, 255, 0), 2)

cv2.putText(image, "%.2fft" % (inches / 12),

(image.shape[1] - 200, image.shape[0] - 20), cv2.FONT_HERSHEY_SIMPLEX,

2.0, (0, 255, 0), 3)

cv2.imshow("image", image)

cv2.waitKey(0)