Learn Computer Vision and Image Processing in LabVIEW (Udemy.com)

Курс обзорный. Что понравилось: в целом обозначены инструменты и их применение. А так же обозначено применение машинного зрения в целом. Это пробуждает интерес к теме. Что не понравилось: Очень поверхностно, на уровне "вот тут такое значение, вот тут галочка и работает". Не хватает разбора настроек инструментов. БОЛЬШОЙ МИНУС за то, что не рассказано про адаптацию FOI (field of interest). Про определение локальных координат (ориентация Object of Interest в пространстве) и адаптация алгоритмов под локальные координаты. Это базис оптимизации алгоритмов. В целом Спасибо за работу.

Very interesting subject. Good course. This is not a course for beginners but still easy to follow. A bit too quick to follow successive operations once in Labview. Additional explanations could also be given before connecting or updating objects properties. All in all very good course. Thanks.

It represents a somewhat good introduction. The questions seemed out of place, with topics that weren't discussed yet. If you're considering starting using NI Vision (and know a thing or two about Computer Vision), this is a good start.

I'm being picky here, overall I'm really enjoying it, he knows the topic well and presents very well! But I am finding things move too fast.. why he selects what he does when setting up the assistant is not always clear. Many options are "pick this one, because i find it works best" but what are my other options? why is this one best? in lecture 14 when he "jumped ahead", "you can build it your self" that took a long time for me to build, back and forth in the video multiple times to get it right as he had not introduces us to many of the modules on how to build it, many options where new.. more time could have been spent on what and why he choose that option. Please don't take this as harsh, it's just feed back and I did manage to get through everything so you have shown enough to do it all. Overall Great instructor, well worth it. Ps Congrats on the paper for line detection Impressive stuff!

In my case I'm relatively happy with this course, because I was searching one about Computer Vision in Labview, and I purchased it with a discount (final price 15 Euros, instead of 200). But I wouldn't recommend to purchase it for 200 Euros, due to the following reasons: - It's an introduction to computer vision in labview, using the Vision Assistant Module, it doesn't go in depth. - The examples are quite basic, it would be great to have more complicated exercises or projects, in order to understand better all the options and settings. Also, I would recommend to implement all the examples to labview with real time applications or recorded videos. In some cases it has been done, but, for example, in object tracking it would have been cool to apply this in live (instead of record a number of frames, and apply it in the vision assistant tool). To summarize it all, it's a good course for beginners in labview, but it should have more exercises, mini projects, and deeper explanations. For example, In OCR and object tracking, real live applications would be an improvement. It's real value isn't worth 200 Euros/Dollars right now, it requires more explanations and exercises in order to achieve that.

I like to create software using LabVIEW so I intend to improve my knowledge and abilities. I think this course provides me useful and practical examples related to a an interesting topic as is computer vision. In the past, I worked on such a project so I want to find out even more ways to benefit from the techniques of picture recognition and image processing.

Useful course. I am using the Macintosh version of Labview which does not have the VI Vision package and was unable to work through the examples. Comment to the instructor: Don't read the slides verbatim. It wastes time and does not allow for the details that can be revealed between-the-lines. Would recommend this course to all Labview users.

The course started with the overview of the differences in computer vision and machine vision, the two terms which are often used interchangeably, though they are not exactly the same. This really helped me to learn about Lab View and how to use it to make Apps, relevant in the present scenario.

In final lectures and app tutorials, I felt a lack of detailment. Maybe spliting some tutorials in more than one video would help, so the videos could have a little more detail about the approached theme. Anyway I think the course was great, and surely will help me in my final work in engineering college, in which I intend to use LabVIEW to work with Machine Vision.

Pretty good course for starting with LabVIEW based machine vision and image processing. I thank the instructor for taking the initiatives to teach something that rarely has any good self paced contents on the internet. LabVIEW uses a graphical programming language and I think anyone taking this course should have atleast some minimal idea as to how programming in LV works as far as variables, loops, structures and sequences are concerned. The slide videos were little vague as they do not clearly explain the theory nor do they add anything to the practical hands-on experience (although that might be outside the scope of this course). I would appreciate if the instructor had added more practical hands-on exercises, specifically those pertaining to the design of real time systems.