#INVISIBLE CLOAK HOW TO#
#INVISIBLE CLOAK MOVIE#
#INVISIBLE CLOAK ANDROID#
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Generate the final output by combining the background captured and one with the masked red color following by the help of bitwise_and() operations. mask1 & mask2.Ĭolor Segmentation: Now we have retrieved the mask of the red color and now will segment both of those using morphology and dilation.Ĭreate an inverted mask to segment out the particular out of it using bitwise_not().

In the above code, wherever red color will find it will apply thresholding so as change its value or in other words will save the portion of red color in variables i.e. Repeat the same step for mask 2 and combined both of the masks with OR operations. Value describes the brightness of the color.Ĭolor Detection: Now, its time to detect the red color from the frames for that first need to define the range both the lower bound and upper bound to like as below. Saturation used to encode the intensity of color i.e. Hue contains the color information in degrees where, Next, convert the image from RGB format into HSV format (hue-saturation-value) as RGB is highly sensitive to illumination. Initialize while loop to read each frame through the web camera till any keypress, in this ESC key of the keyboard. In the beginning, it will be equals to 0 but as soon as the camera will start it will record the frame for 30 seconds and then stored the same in the background variable. Initialize background to be visible in place of the invisible object whenever any red color ( or any other color) object will come in front of the camera. Initialize video Capture object from a web camera and suspends execution for 2 seconds.

#INVISIBLE CLOAK SERIES#

Numpy will be used to deal with arrays as images in python are a series of Numpy array to start the camera, read each frame in code, color detection, color masking, and streaming final results OpenCV will be used for image processing part i.e.

#INVISIBLE CLOAK ANDROID#

We will be using both the web-camera and android camera for the testing of Invisible Cloak.

After two seconds bring any red color cloth and hide your self in that, and then you will not be visible on the screen. color detection and masking which means it will work for some particular colors as per our choice.įor a brief, let’s suppose you have chosen the red color, then after you run the code. It will be based on the image processing approach i.e. Obviously, it will not be any real but will be graphical. Follow this to create your own invisible cloak. Inspired by Harry Potter, I felt of creating one for me, just for fun, so I just dived into it and came up with the same using OpenCV.

In the below image you can see how Potter’s body is not visible, its just a miracle of the cloak. It’s not anything new to the Harry Potter fans, but this is new for the people who don’t have an idea about it, so it’s a technique to render physical objects invisible. Moving forward with this now, its time to work on some fun projects with the help of OpenCV, i.e., so we are considering here the “Invisible Cloak” like “Harry Potter had which he got from Dumbledore at Hogwarts.” ( Link to that blog)Īs already discussed, all the OpenCV applications, valid for web cameras, can be implemented with the external camera devices too, like, a low budget home surveillance system without using CCTV cameras.

#INVISIBLE CLOAK HOW TO#

Other than that, we have also have covered how to use an external camera device with OpenCV and stream results on your laptop/PCs with the help of third-party applications like IP webcam in case of integration with an android camera. In the last few blogs, we have discussed OpenCV with some of its functions and applications in different fields including Computer Vision, facial recognition, live motion detection, object detection, image processing, tracking of 3D objects, and many more.

#INVISIBLE CLOAK MOVIE#

“Let us step into the night and pursue that flighty temptress, adventure.” - Harry Potter Movie Introduction

Invisible cloak