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Instead of taking hours, face detection can now be done in real time.Though the theory may sound complicated, in practice it is quite easy.The algorithms break the task of identifying the face into thousands of smaller, bite-sized tasks, each of which is easy to solve. For something like a face, you might have 6,000 or more classifiers, all of which must match for a face to be detected (within error limits, of course).But therein lies the problem: For face detection, the algorithm starts at the top left of a picture and moves down across small blocks of data, looking at each block, constantly asking, “? The best answer can be found from the dictionary: Like a series of waterfalls, the Open CV cascade breaks the problem of detecting faces into multiple stages.If you get strange unexplainable errors, it could be due to library clashes, 32/64 bit differences, etc.
You initialize your code with the cascade you want, and then it does the work for you.
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