Recently, I came across a pretty cool little device called the “Cronus controller adapter“. Basically, it’s a USB dongle that can be plugged into your Xbox 360 or Playstation 3, allowing you to use any controller you want no matter what console it was originally designed for as long as it works over USB. For example, using the Cronus adapter, you can use your Xbox 360 controller on your Playstation 3, your Playstation 3 controller on your Xbox 360, or your mouse and keyboard on both. Since I (used to) do a lot of computer vision programming (and have been looking for an excuse to get back into it), I felt like this little device would be a great way for me to create some new computer vision applications. Since I’ve already written several computer vision apps that can detect and track objects, I would like to test my skills at automating some video games by using OpenCV for the processing. Since the Cronus controller adapter allows you to feed commands to your Xbox 360 and Playstation 3 from basically any other device, I think that the Cronus adapter will be a great way for me to send commands to my Xbox 360 based on objects detected and tracked by OpenCV using my computer.
It’s been a while since I’ve worked on any computer vision applications. So, tonight I decided to spend a few minutes to play around and have some fun with OpenCV and C#. I dug up an old augmented reality app I created a while back and threw in some 3D models I found on the web. The code isn’t ready to be shared, but I still thought the test results are pretty cool so far and thought I would share those results with all of you. As soon as I get the code to a stable point, I will post it here for all of you to play with. Until then, checkout my other OpenCV articles or head over to my official Computer Vision website at http://www.learncomputervision.com.
It’s easy to recognize when a semester is drawing near. Every computer science college student on the planet begins scouring the internet, looking for projects they can call their own and submit as their senior projects. Personally, I wish everyone would develop their own / new projects as that’s how we get many of the amazing products we all come to love and rely on. But, I also know that many computer scientists need a platform to build on top of. Besides, as a great man once said, “we’re all standing on the shoulders of giants” – Isaac Newton. Since my website’s purpose is to educate and to give others the building blocks for developing their own products, you can imagine how hammered my web servers get when semester-ends get closer and closer.
Over the last few weeks, I have received hundreds of emails asking for source code to many of my computer vision projects. The most commonly requested project this semester is my lane detection application. A while back I had a harddrive crash and unfortunately did not have a backup, causing me to lose the source code for my original lane detection application. I also haven’t had time (or a reason) to rewrite the application. However, with the boom of excitement about products such as Google Glasses and the Vuzix Smart Glasses, I have decided to rewrite my lane detection app which I would like to use with the Google Glasses, Vuzix Smart Glasses, or modified Vuzix Wrap 1200 video glasses that I have mounted a camera onto. The code is by far no where close to being complete. But, I do think it is in a good place that I can share it. Plus, as already mentioned, the state of the code at this point is only the stepping stones for others to build on top of. I might decide to release the final source code once I have it completed, but I haven’t really thought that far ahead yet. Until then, here is the code as it is today.
Alrighty folks. I have another application for all you computer vision fans out there. This time, it’s an application that combines C#, OpenCV, and DirectX to produce kind of a virtual 3D environment. The application uses a standard webcam to track your head movements. As you move your head, the 3D environment will respond in return. The idea is based on the head tracking for desktop VR displays using the Wiimote by Johnny Lee as seen in the following YouTube video.
Over the last several months, I have shown you all kinds of cool ways you can use OpenCV with C# to create some really cool applications. Today, at the request of a reader, I want to begin showing you how to create applications using OpenCV and Python. If you’ve ever taken a look at the OpenCV documentation with Python, you will know that it’s lacking in many ways. So, I want to take a few minutes and give you a crash course with getting OpenCV and Python to play nicely. Let’s begin.