"you need configured python 2 sdk to render epydoc docstrings"

Python
1

HI

I am about to create an image-detection program in python. I want to assign videos to image targets, 1-1, so when I show one of the images to my camera, the assigned video triggers in a second window. It works fairly well except the fact that it shows an error (if the camera gets completely dark) with the following: “you need configured python 2 sdk to render epydoc docstrings”

I tried to install the software(with windows installer): Epydoc

  • couldnt make it, no permission even in administrator mode

I also found terms like “Epytext” and “Doxygen” where the solution could be, I couldnt really find my way around it so I just gave it up and started to look for another way to create this program… but then I bumped into the same error again, within SIFT.

Anyone has a solution for this issue? Am I on a good track to achieve my goal?

It happened in Orb, opencv, pyhton.
matches = bf.knnMatch(des1, des2, k=2) # error showing under knnMatch

fullcode:

import cv2
import epydoc
import numpy as np

cap = cv2.VideoCapture(1)
imgTarget = cv2.imread('1.png')
myVid = cv2.VideoCapture('video.mp4')

detection = False
frameCounter = 0

success, imgVideo = myVid.read()

orb = cv2.ORB_create(nfeatures=1000)
kp1, des1 = orb.detectAndCompute(imgTarget, None)



while True:
    sucess, imgWebcam = cap.read()
    kp2, des2 = orb.detectAndCompute(imgWebcam, None)


    if detection == False:
        myVid.set(cv2.CAP_PROP_POS_FRAMES, 0)
        frameCounter = 0
    else:
        if frameCounter == myVid.get(cv2.CAP_PROP_FRAME_COUNT):
            myVid.set(cv2.CAP_PROP_POS_FRAMES, 0)
            frameCounter = 0
        success, imgVideo = myVid.read()

    bf = cv2.BFMatcher()
    matches = bf.knnMatch(des1, des2, k=2)
    good = []
    for m, n in matches:
        if m.distance < 0.75 * n.distance:
            good.append(m)
    print(len(good))
    imgFeatures = cv2.drawMatches(imgTarget, kp1, imgWebcam, kp2, good, None, flags=2)

    if len(good) > 20:
        detection = True


    cv2.imshow('imgFeatures', imgFeatures)
    cv2.imshow('myVid', imgVideo)        
    cv2.waitKey(1)
    frameCounter += 1
2

That’s not an opencv problem :https://youtrack.jetbrains.com/issue/PY-30342?_ga=2.252255946.251958354.1611130330-618429367.1611130330

1 Like