I have worked with Jupyter for a while and I must say that it is a pretty unique experience. The ability to get outputs right away and visualize the data right beneath the code create a great environment for data analysis. And you can also install Vim key binding 😉. But there is even more! There are widgets — buttons, sliders, drop-down menus, and more — that allows interactive interactions and make your code even more fun. For example, I use widgets for creating simple UI for classifying images and creating a data set.
Don’t worry, this blog post will not include any stupidly long and heartbreaking story how I become motivated. Instead, I would like to give you some tips from my personal experience how I stick to my new habits. You may not trust me, but keep in mind that I already successfully completed a few on-line courses and I still take new ones ? (just try to google the completion rate of MOOCs).
During my project I came across this problem: How to detect paper page on the photo and cut it out. There are already mobile apps providing this feature, but we could definitely learn something by building it and maybe even improve it. Even though this problem may seem complicated at first, the OpenCV can help us a lot and reduce the whole problem on a few lines of code. So, today I will give you a quick tutorial how to solve such a problem.
Seriously! I successfully installed Jupyter Notebook with OpenCV on my Android NO-ROOT tablet. This may sound crazy and useless, but I why not? The performance of the tablets these days is exaggerated — thanks game industry — so let’s use it for something meaningful. Personally, I have a solid tablet, but I never really used it. And that will change!
Tutorial is up to date with GNURoot Debian app version 0.6.8.
I decided to repair the Travis CI build. What started as a small fix end up as setting up the whole automatic release system connected with GitHub releases. It sounds really cool, but the truth is that the electron-builder provided everything what we need. Then our task is “only” to set up everything correctly. So, today I will give you a step by step guide.
I heard a lot of stories about people, even whole teams, who works on machine learning problems, getting stuck for whole years trying to solve the problem. And then somebody else came using simple techniques and get much better results! There isn’t any definite way how to overcome such freezes, but we can learn from others mistakes.
You can love it, you can hate it, but no matter what you think about it, it will be there. As you may know the Memory King is also open source and you can find it on GitHub. And in todays blog post I will discuss what it means for me and why I love it.
Open-source software (OSS) is computer software with its source code made available with a license in which the copyright holder provides the rights to study, change, and distribute the software to anyone and for any purpose.
Let’s start our machine learning journey! This week I started the real work on the project. For those who don’t know, my project will be kind of OCR project, so we will be dealing with images, computer vision, and all sorts of interesting problems. And in this episode we will start getting ready for the machine learning.