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
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