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In brief, the identification of software tools should always be subject to a specific type of facility. If the conversation begins with words, pray, not find, and don't we recognize anything that's just going to get caught in the frame, then she's gonna have a problem. Not invented yet. Even if some software allows for the search for arbitrary objects, it is in fact a variety of decisions and algorithms collected together.Further consideration should be given to the type of object proposed for recognition. What is his geometric form/form. From what angles the film will take. Whether the lighting breaks are strong. Subject in motion or static. Is there a set (usually a kit equivalent to hundreds of thousands and more samples) of images for car training? And many other conditions and nuances. Even a human trivial object like a dog creates many variations. For example, there will be only a face in the frame (anphas, profile, even upside down) or a whole cart full of paint, and what about wool (some kind of polochmatist, some less) and so on.All these differences are fundamentally practical for any recognition algorithm that will be desired. Some of them will be insensitive to the colors and shades, but they will be sensitive to the angle of the film. Some will be insensitive to turns and inclinations, but perfectly sensitive to the shape of the object.Contour analysis is an excellent choice, but, as has already been pointed out on the issue, it is too necessary to have so-called perfect conditions. In the case of a dog, the perfect conditions would be uniformly pouring it all with some paint, like red, and putting it in a room with white floors and walls. Instead of flashing lights, a searchlight shall be installed in the corners of the corners, giving the same and non-flashing light. Afterwards, we need to make an unbearable animal sit peacefully and not move so that the geometric shape of the contours that will be detected in the frame will change marginally. Of course, the software that has been acquired during this experiment will only be able to recognize red dogs sitting in a white room with a viewer. It's a questionable profiling, because it's only a little easier to make them for contour analysis less perfect, like an algorithm would stop working.Contours are a two-way form. This is, in fact, a small number of processing information, which, on the one hand, results in savings in computing resources and an increase in algorithm speeds, but on the other hand, there are no indications without which, in some cases, recognition is simply impossible. Try to guess where the pictures are number one and where 7. Maybe there's two units or two sevens... looking at what angle and what type of print. ♪ ♪It is clear that the contour analysis is not appropriate to recognize such objects as a dog (yes of any one whose shape is not stable) and where objects may be deformed, which is the norm for the natural environment.Well, there's an interesting thing to do: how if the two-worlders tried to look at three-dimensional objects. The cube would be a square for them, and the ball would be round. That's not what the camera sees as being able to simulate the human brain by adding the necessary details that didn't see the eyes on their own. That must be borne in mind.
