Is there a good tutorial I can follow to learn about the Steinberg ASIO SDK? I have been looking everywhere, but I can't seem to find even a simple example of playing a sine wave.
Related
https://www.youtube.com/channel/UCXe-BTXAnQ9VaQQZnlC608A
This guy made machine learning script and teach machine
how to play Super Mario and complete each level.
There's FAQ document in the description of every his video
that he's using LUA to make this script but I don't even know where
to start and can't find any tutorial on youtube how to make something like this
My goal is make machine learning script for other games and see
the machine learning how to play and complete various levels
Could you please guide me where I can start and what I should learn to make script like this?
and I prefer programming language easier to learn if there is other option.
Consider the following:
Are you a beginner programmer? If so, diving into machine learning will prove to be frustrating. You need a solid foundation first in programming principles.
The next level would be to use a machine learning library. The core ML algorithms are then already written and optimized and you just need to learn how to integrate them into your own programs. Don't be fooled though - to do this well still requires a solid understanding of ML principles. There are existing libraries for Lua and Python. That is a good place to start.
I would consider looking at Andrew Ng's introductory material (book and videos) on ML. Warning! He knows what he is talking about and does offer up quite a bit of advanced material as well. Don't start with that.
There are excellent, advanced books on the subject that explain the mathematical principles behind the apparent magic of ML. If you already did all of the above and are still sticking with it, then this would be the way to go next. You could work on your own implementation of ML and apply that to any domain.
I'm gonna guess that you are at the first bullet point still. Be patient. Learn to program well. Get exposure to ML ideas. Plan on that video game ML application some years from now.
I want to implement Structur from Motion (SfM) / Simultaneous Localization and mapping algorithms using my webcam. I am very new on this topic so I need advices from experts in the internet. I could now able to build OpenCV opencv sfm tutorial for this purpose and I looked OpenSFM but it seems like just a GUI. What other open libraries/programs that I can use for this task? any suggestions/advices/tutorials are appreciated.
Are there any iOS/OSx examples for which a synthesizer is using vDSP routines in the code? Or at least, some examples of manipulating/optimizing audio data.
Would like to get aquainted with these vDSP routines to optimize code, but have not seen any such examples.
Edit: I found this: http://forum.openframeworks.cc/t/a-guide-to-speeding-up-your-of-app-with-accelerate-osx-ios/10560 are there any more examples? Books with examples would be great as well.
Particularly looking at examples related to audio.
Many thanks!
PK Mital has a bunch of nice small audio processing examples on his Github.
I am new to Audio framework but after searching a while i found Accelerate framework provided by iOS api for Digital Signal Processing. In my project i want to convert a sound file to fft so that i can compare two sounds using fft. So how should i proceed with this? I have gone through apples aurio touch sample app but they didnt use accelerate framework. Can any body help me to convert a sound file to fft and then compare using correlation .
The FFT is a complex beast, not something that can be comprehensively discussed in a single text box (I know accomplished engineers who have taken multiple semesters of classes studying topics that boil down to Fourier Transform analysis). Because of the nature of Accelerate framework's tasks, it too is a non-trivial discussion topic.
I would suggest reading Mike Ash's Friday Q&A on FFTs, where he covers some basic use of the vDSP functions to get FFT values, as a starting place.
See this DSP Stack Exchange answer for discussion on convolution and cross-correlation.
I want to create a photo and video manipulation app for the iPad. The app would effect the imagery in various ways (using canny edge detection or bilateral blur for instance).
I saw some very interesting examples of canny edge detection using OpenCV, but is OpenCV the right tool to be looking into if I want to create a graphics app like this?
If so can anyone recommend some good reading materials to get me started.
Thanks for reading!
Yes, you certainly can use OpenCV on iOS. You simply cross-compile the code and include it in your project. OpenCV can easily do what you describe, and much more.
O'Reilly has published a great book on OpenCV, which is probably the best way to get up to speed. It explains the methods and how to use them, with plenty of sample code and images.
Learning OpenCV, Gary Bradski, Adrian Kaehler, O'Reilly 2012
There are a few sample projects around:
Sample OpenCV on iOS project
There are also numerous build scripts etc but note that they are probably not the latest version (2.4).