#EMGU CV 2.4 HOW TO#
#EMGU CV 2.4 INSTALL#
#EMGU CV 2.4 CODE#

#EMGU CV 2.4 CODE#

(_, cnts, _) = cv2.findContours(py(), cv2.RETR_EXTERNAL,Д¬v2.drawContours(image, cnts, -1, (240, 0, 159), 3)ДЄs you can see, all we need to do is make a call to is_cv2, is_cv4В , and is_cv3 and then wrap our version specific code inside the if statement blocks - thatвЂ™s it! (cnts, _) = cv2.findContours(py(), cv2.RETR_EXTERNAL, # check to see if we are using OpenCV 2.X or OpenCV 4 Thresh = cv2.threshold(gray, 225, 255, cv2.THRESH_BINARY_INV) Gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) Print('OpenCV Version: '.format(cv2._version_)) # load the Tetris block image, convert it to grayscale, and threshold LetвЂ™s take a look at how we can make this check: # import the necessary packages However, as we know, the return signature of cv2.findContours has changed slightly between version 3 and 2.4 of OpenCV (the OpenCV 3 version of cv2.findContours returns an extra value in the tuple) - thus weвЂ™ll need to perform a check to our OpenCV version prior to making a call to cv2.findContours to ensure our script does not error out. In order to detect contours in an image, weвЂ™ll need to use the cv2.findContours function. Our goal here is to detect contours in the following image: Figure 1: We are going to utilize OpenCV 2.4.X and OpenCV 3 to detect the contours (i.e.

#EMGU CV 2.4 HOW TO#

Now that we know how to check our OpenCV version using Python as well as defined a couple convenience functions to make the version check easier, letвЂ™s see how we can use these functions in a real-world example.

#EMGU CV 2.4 INSTALL#

If you already have imutils installed, you can upgrade to the latest version using: $ pip install -upgrade imutilsД¬hecking your OpenCV version: a real-world example The code here is fairly straightforward - IвЂ™m simply checking if the cv2._version_ string starts with a 2, indicating we are using OpenCV 2.X, a 3, to indicate that we are using OpenCV 3, or a 4, to indicate that we are using OpenCV 4.ДЄgain, these functions have already been included in the imutils package, which you can install using pip: $ pip install imutils # return whether or not the current OpenCV version matches the # if the supplied library is None, import OpenCV # if we are using OpenCV 3.X, then our cv2._version_ will startДef check_opencv_version(major, lib=None): # if we are using OpenCV 2, then our cv2._version_ will start You can see my is_cv2, is_cv3, and check_opencv_version functions below: def is_cv2(): To resolve this problem, I have added three new functions to my imutils package, a series of convenience functions to make basic image processing functions with OpenCV and Python easier. Of course, having to perform this operation every time you need to check your OpenCV version is a bit of pain. The cv2._version_ variable is simply a string which you can split into the major and minor versions: > (major, minor, _) = cv2._version_.split('.') The OpenCV version is contained within a special cv2._version_ variable, which you can access like this: $ python Looking for the source code to this post? Jump Right To The Downloads Section Checking your OpenCV version using Python

Emgu cv 2.4