Topic: Application of detectors of objects
Advise what to esteem, please, on any subtleties \cunnings of application of detectors of objects on images, from the point of view of model usage as black box. Model training, unconditionally, difficult, but besides it it is necessary to create an infrastructure of its application and post-handling of its results. For example, there is a qualifier which is caused in a sliding window and can work for one object in two adjacent windows. If I have to count finally an amount of objects it is necessary to unite somehow these adjacent actuatings, and here it is possible to offer different methods. But it is similar to a widespread problem and for certain for it there are standard decisions. The question was not specific about this task, and is faster about, whether there are sites \blogs \books etc., to esteem about the stored practical experience of usage ml (especially with images) with all accompanying complexities?