How to parse mjpeg http stream from ip camera?

import cv2 import urllib import numpy as np stream = urllib.urlopen(‘http://localhost:8080/frame.mjpg’) bytes=”” while True: bytes += stream.read(1024) a = bytes.find(‘\xff\xd8’) b = bytes.find(‘\xff\xd9’) if a != -1 and b != -1: jpg = bytes[a:b+2] bytes = bytes[b+2:] i = cv2.imdecode(np.fromstring(jpg, dtype=np.uint8), cv2.CV_LOAD_IMAGE_COLOR) cv2.imshow(‘i’, i) if cv2.waitKey(1) == 27: exit(0) edit (explanation) I just saw that … Read more

OpenCV better detection of red color?

In HSV space, the red color wraps around 180. So you need the H values to be both in [0,10] and [170, 180]. Try this: #include <opencv2\opencv.hpp> using namespace cv; int main() { Mat3b bgr = imread(“path_to_image”); Mat3b hsv; cvtColor(bgr, hsv, COLOR_BGR2HSV); Mat1b mask1, mask2; inRange(hsv, Scalar(0, 70, 50), Scalar(10, 255, 255), mask1); inRange(hsv, Scalar(170, … Read more

How to properly Multithread in OpenCV in 2019?

First of all, thank you for the clarity of the question. Q: Is it okay to use (multi)threading on application level with OpenCV? A: Yes it is totally ok to use multithreading on application level with OpenCV unless and until you are using functions which can take advantage of multithreading such as blurring, colour space … Read more

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