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Here, we are saying that all pixels in our image that have a R >= 100, B >= 15, and G >= 17 along with R <= 200, B <= 56, and G <= 50 will be considered red. Let’s go ahead and define this list of colors: # define the list of boundariesĪll we are doing here is defining a list of boundaries in the RGB color space (or rather, BGR, since OpenCV represents images as NumPy arrays in reverse order), where each entry in the list is a tuple with two values: a list of lower limits and a list of upper limits.įor example, let’s take a look at the tuple (, ). That means we’ll have to recognize red, blue, yellow, and gray colors in the image. We want to be able to detect each of the Game Boy cartridges in the image. Then, on Line 12, we load our image off disk. We’ll need just a single switch, -image, which is the path to where our image resides on disk. Lines 7-9 then handle parsing our command line arguments. We’ll use NumPy for numerical processing, argparse to parse our command line arguments, and cv2 for our OpenCV bindings. We’ll start by importing our necessary packages on Lines 2-4. # construct the argument parse and parse the argumentsĪp.add_argument("-i", "-image", help = "path to the image") Open up your favorite editor and create a file named detect_color.py : # import the necessary packages This example will run on Python 2.7/Python 3.4+ and OpenCV 2.4.X/OpenCV 3.0+. Looking for the source code to this post? Jump Right To The Downloads Section Update July 2021: Added new section on how to improve color detection accuracy using color matching cards and histogram matching.Because in this post I’ll show you how to use OpenCV and Python to perform color detection. Grab yourself a nice cool glass of water to combat the failed AC and a pair of ear plugs to block out the wailing child. Honestly, wouldn’t it be really cool to be able to segment each of the game cartridges using nothing but color? Luckily, I brought along my Game Boy and collection of Pokemon games.Īs I slid my trusty Blue version into my Game Boy, I thought to myself, instead of battling Gary Oak for the thousandth time, maybe I can do a little computer vision. A baby is screaming right next to me while the accompanying mother looks forlornly out the window, clearly questioning whether or not having a child was the right life decision.Īnd to top it all off, the Wi-Fi doesn’t work. Riding the Amtrak 158 train, coming home after a long business trip.