The  most fundamental computer technology  related to Computer vision and Image Processing is  Object Detection.  It deals with detecting the   semantic object of a certain class in digital images and videos. In the previous post, I have shown you how to detect object very easily with less than 15 lines of code. But our concern is about the FPS(Frames Per Second). Check out the  Object Detection (PART-I)    if you have not seen yet.  In this post, we are going to optimize the previous post so that we can improve the FPS. In this case also we are gong to use YOLO  model again. There are 80 different classes that can be detected using YOLO model. such as-       person, bicycle, car, motorcycle, airplane, bus, train, truck, boat, traffic light, fire hydrant, stop_sign, parking meter, bench, bird, cat, dog, horse, sheep, cow, elephant, bear, zebra, giraffe, b...

Have you ever seen Harry Potter’s   Invisible Cloak   If not then let's have a look.     Was it wonderful? Do you surprised how this can be possible? If yes, then this post is going to help you. You will be able to make such invisible cloak by your own but yes, not in real way but it is all about graphics . Algorithm behind the idea First, we take the background frame ( for some second ) and store in the memory. Then, we will take the frame with cloth. Then, detect and segment the portion of the cloth of pre-determined color. For Example here we will use Red. [ known as Color Detection and Image Segmentation ] Then, that segment will be replaced by the background , we have stored in the memory, segment. At last, create the final image to make the magic. Note: All the things will be done in python due to the availability of the various libraries mainly numpy . Python Code: First of all, importing all the required librar...