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  We heard just how to get ready dataset to nourish it. In this tutorial, we will be using exactly the same dataset generator category we published to get data. We'll even learn how to build an Inside My final OpenCV Tutorial I wrote an app track them and to detect items. In this post I will explain to you how we can expand that idea to complete a few such things as gesture recognition.  We'll apply this to produce a digital mouse. I will be using that code as a Hello everybody, we have seen many advanced detection and recognition techniques, but sometime its just better with school colour detection approaches to get multiple object tracking. Therefore today we will be doing simple shade detection to detect some green items and Hello guys, If you are considering creating robots, or embedded systems such as me then you must be wondering whether there is an solution to utilize your android mobile as an wireless camera (IP We*cam ) for the opencv code embedded into a SBC such as RaspberryPi, '' You might have already know In my previous articles we learnt how to make use of clas*ifiers todo Face Detection and how to produce a dataset to coach use it for Face Recognition, in this post we have been will looking at just how todo object-recognition to recognize that an object in an image ( for example a novel ), In the last few tutorialwe heard what's really a neural network, and how to compose your network in python out of scratch. We heard just how to use Tensorflow to quickly build a neural system and train it readily. We heard how to make use of Tensorboard to visualize the system for Till we were building neural networks however what if our code isn't currently generating the precise system that people have within our own mind. As a result of a mistake we did from our code, the system that's actually generated is different. Therefore is there a way to actually see the construction Hey Everyone in my last post I showed how we could compose a simple neural system program from python from scratch, simply to have a much better