Изучение Python OpenCV / Урок #9 – Заключительный урок — Transcript
Full transcript
- 0:00Welcome, and congratulations on
- 0:02reaching the final ninth lesson in our
- 0:04course on the OpenCV library. In this
- 0:07lesson, we won't be developing anything
- 0:09new or studying new material; instead,
- 0:11we will summarize what we've learned
- 0:13and decide where to go next. You have
- 0:15now mastered all the key nuances of
- 0:17working with OpenCV. The library itself
- 0:20allows you to work with images and
- 0:21video, enabling you to detect objects,
- 0:23text, and other information within them
- 0:25. With your current knowledge, you can
- 0:28now recognize various objects in photos
- 0:30or videos, label them, save them,
- 0:32process them, and perform various other
- 0:35manipulations. It is also important to
- 0:37understand that there is an additional
- 0:38library for every specific purpose. For
- 0:40example, we used Easy OCR to read text.
- 0:44In the future, you can use other
- 0:45libraries or utilize files containing
- 0:47pre-trained neural networks. Such files
- 0:50provide a ready-made algorithm for
- 0:52finding faces, license plates, and
- 0:54other objects like mugs, animals,
- 0:56documents, and so on. The next thing I
- 0:59recommend you do is try to develop your
- 1:01own program using OpenCV. For instance,
- 1:04try creating a project to find animals
- 1:06in photos. Furthermore, if you want to
- 1:08advance in this field in the future, I
- 1:10recommend studying mathematics in more
- 1:12depth and looking into the TensorFlow
- 1:14library. I also want to mention that if
- 1:16you are interested in an in-depth study
- 1:18of Python and its frameworks, I invite
- 1:20you to check out our complete course on
- 1:22the language and related technologies.
- 1:25Throughout this extensive training
- 1:26program, you will study more complex
- 1:28Python concepts, learn how to build
- 1:30full-fledged Android applications,
- 1:31explore website development, and, of
- 1:33course, gain some additional experience
- 1:35working with artificial intelligence.
- 1:38During the course, you will learn to
- 1:40create various types of websites, build
- 1:42applications, create cool console
- 1:43projects, integrate neural networks
- 1:45into your apps, and by the end of the
- 1:47training, you will have enough
- 1:48knowledge to start creating your own
- 1:50diverse projects. The program is
- 1:52incredibly extensive, and I am proud to
- 1:54present it to you. A link to the
- 1:55training program will be in the
- 1:57description of this video. That is all
- 1:58from me. I hope you enjoyed the course,
- 2:00and if so, please like the video and
- 2:02subscribe to the channel. Also, do not
- 2:04put off learning the next technologies;
- 2:07start studying as soon as possible. See
- 2:09you soon. Bye. M.
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