SimpleCV

What do you like best about SimpleCV?

SimpleCV being open source has lots of followers. These followers have contributed over a long time to make this library perfect which means it is ready to use at industry level and all the algorithms are optimized to a great extent.

Computer Vision is a old but still has lots of research going on which means frequently new algorithms are made. SimpleCV has great support for this kind of updates with good documentation.

What do you dislike about SimpleCV?

SimpleCV has some flaws like some API fails for python 2 and works efficiently for python 3. Apart from this everything else is fine and SimpleCV as a whole is a great library.

Recommendations to others considering SimpleCV:

The use cases of Computer Vision are vast and after the boom of machine learning there are many new of them emerged. I think this is one of the domain that will lead to great careers. SimpleCV is one of the great source to learn Computer Vision as there are number of sources available they can serve you great learning. I highly recommend Computer Vision practitioners to go for SimpleCV.

What problems is SimpleCV solving and how is that benefiting you?

As we at ML Hub we build solutions to real-world problems using the new-generation technologies. Computer Vision is one of them and SimpleCV is used to build Computer Vision applications. The optimal stack of algorithms provided by SimpleCV is core of any Computer Vision solution we develop in our organization.

This algorithms are used by thousands of people over years so we trust SimpleCV and use it in industry level products.

What do you like best about SimpleCV?

SimpleCV is a powerful computer vision library which can be used to solve many problems in the domain. I choose this library over every other library is because they have a efficient and almost optimal API. This helps me to focus more on the task I am performing rather on the optimization of the algorithm. Also the documentation provided is in very simple words and even with a lot of sample codes which helped me a lot while I just got started with SimpleCV.

What do you dislike about SimpleCV?

I have been using SimpleCV and it has proved itself for this whole long time. I am happy with the overall experience of SimpleCV. There is nothing to complain about.

Recommendations to others considering SimpleCV:

Here a very good blog on how you can start learning computer vision by Adrian Rosebrock - founder of PyImageSearch. This source is trustworthy and I am pretty sure it will help you tons! https://www.pyimagesearch.com/2014/01/12/my-top-9-favorite-python-libraries-for-building-image-search-engines/

What problems is SimpleCV solving and how is that benefiting you?

ML Hub is a organization whose aim is to bring solutions to complicated problems using the new technologies available. Computer Vision is one in that list, which we use to overcome this problems. SimpleCV being best in this domain we have opted for it. For all these years we have used it in number of projects.

SimpleCV API is not that complicated and can easily be learned using the official documentation. This thing helped us to train our employees in very short time span.

What do you like best about SimpleCV?

- SimpleCV is a open-source library, which means it's freely available to everyone. It is one of the best things about this library that attracted me towards it.

- It has mainly all the algorithms that a Computer Vision task would require which I could say well tested and are industry ready as a number of people around the world use SimpleCV and also a lot of public forums are open for discussions and support.

What do you dislike about SimpleCV?

As this library of great use I think that it should also be available for different programming languages such as C/C++, Java, Matlab, e.t.c. For now it just supports python.

Recommendations to others considering SimpleCV:

The documentation provided on the official website is not so informative. There are various video tutorials and blogs available on internet to learn SimpleCV. I recommend to everyone not to dependent only on the documentation and take advantage of such free resources available.

What problems is SimpleCV solving and how is that benefiting you?

We ML Hub are a new generation company where our focus is the solve real world problems using the latest technologies where Computer Vision plays an important role. We use SimpleCV for a variety of Computer Vision problems that our clients brings to us. As this library is well tested and industry ready we are able to focus more on the problem than the optimisation and robustness of the program.

What do you like best about SimpleCV?

- This library was built for everyone from a newbie to an expert as the APIs are easy to use and understand.

- Huge amount of people prefer SimpleCV making it easier to find solutions on the web.

- Many tutorials can be found and so learning SimpleCV is matter of days.

What do you dislike about SimpleCV?

- SimpleCV don't support multiple languages but is only available for python.

- The documentation have some flaws and needs to be updated.

Recommendations to others considering SimpleCV:

I suggest to follow the documentation as you start as it provides detailed explanation of the things then jump to other complicated tutorials. I say so as I think basics need to be clear before you go for complex tasks. Here are the links you can use to start your journey in SimpleCV - http://tutorial.simplecv.org/en/latest/ , https://www.youtube.com/watch?v=UZSm7Q2bZoc , https://www.youtube.com/watch?v=eGqcxzqysoM

What problems is SimpleCV solving and how is that benefiting you?

We at ML Hub try to solve real world problems using cutting-edge technologies, Computer Vision is one of them. To carry out CV operations we use SimpleCV which has helped us to increase our throughput as we need not to build algorithms from scratch but use those robust algorithms SimpleCV provides.

What do you like best about SimpleCV?

The documentation has good number of examples with good explanation for each API which really helps a newbie to get through the learning and understanding phase easily and in very less time. Also SimpleCV has a big community support which makes practitioners tasks easier as one can fine number of blogs and tutorials online on any particular interested topic.

What do you dislike about SimpleCV?

The worst thing about SimpleCV is that it only support Python programming language which means one need to learn it first. I thing they should provide good number of options like OpenCV does, which supports C++, Python, Java and even MATLAB.

Recommendations to others considering SimpleCV:

I found out that some people faced problems while installing and setting up SimpleCV. Follow the steps shown in this link : https://opensourceforu.com/2016/05/simplecv-making-vision-computing-easy-and-effective/ . It contains detailed instructions along with some examples to test your setup.

What problems is SimpleCV solving and how is that benefiting you?

We at TechDynasty use SimpleCV to solve many Computer Vision based problems and serve those solutions to clients by modifying it to their needs.