OutOfBoundsException in Processing (Sound library) - audio

I recently started playing with Processing. I want to create a simple FFT visualizer that will import music file using Sound library. Here's my code and the console output.
Console Output
import processing.sound.*;
SoundFile file;
void setup()
{
size();
background(51);
file = new SoundFile(this, "song.mp3");
file.play();
}
void draw ()
{
}
Can someone explain why is this happening and how it can be fixed?
By the way, sound file (song.mp3) is located in the same folder as the .pde file.

Put the mp3 file in a folder called data which should be located where your .pde file is located.
This might not fix your issue though. If the issue persists, then it's the fault of the SoundFile library and there is nothing you can currently do.
I have heard people recommending the "minim" library. Try to look into that, as continuing to use the SoundFile library will only lead to problems.

I had the same problem when trying to load mono mp3s. Changed them to stereo and they worked.

Related

QT paly audio by QAudioDevidce can't connect to PulseAudioService

Like title, i'm trying to use Qt and FFmpeg to play audio. My code like this:
QAudioOutput *audio_output;
QIODevice *stream_out;
QAudioFormat audio_fmt;
audio_fmt.setSampleRate(44100);
audio_fmt.setChannelCount(2);
audio_fmt.setSampleSize(16);
audio_fmt.setCodec("audio/pcm");
audio_fmt.setByteOrder(QAudioFormat::LittleEndian);
audio_fmt.setSampleType(QAudioFormat::SignedInt);
QAudioDeviceInfo info = QAudioDeviceInfo::defaultOutputDevice();
if(!info.isFormatSupported(audio_fmt))
{
audio_fmt = info.nearestFormat(audio_fmt);
}
audio_output = new QAudioOutput(audio_fmt);
When i use QAudioDeviceInfo info = QAudioDeviceInfo::defaultOutputDevice()
i get PulseAudioService: pa_context_connect() failed error.
So how can i fix it?
By the way, i'm using Ubuntu 16.04 and Qt 5.14.2, and i have add 'mutilmedia' to Qt pro file
I checked my Qt file ,and i have audio dir in plugins, it's not lib problem. Also, i read this post ,but i don't know how to fix it, anybody have idea? Thank you guys,and my English is bad, wish you can understand what do i say.

How to build python class structure for matplotlib to export ot .exe with cx_freeze?

I built a code to generate and play random musical notes. It is working great within python, but I would like to make it into an .exe stand alone program, so people without python can use it. I show an image below of the output. It creates a matplotlib figure with a 'TkAgg' backend. There are 5 buttons and an user entry box that all work.
I used cx_freeze to try to package it, and I worked through all of the errors. I also got some of the examples to work. I can see the the build folder is getting the 4 Images and many .wav files I need to draw the musical staff and play the notes. One error showed that the .exe tried to run my code, because it couldn't find the .wav files). I changed how I specified where they were for the .exe. But now when I run the .exe nothing happens.
Unfortunately my code is a monstrosity. It's messy, and somewhat long (750 lines if you count white space). The .py file I am trying to write to the .exe is Interval_Trainer_v1_1.py. It can be found here.
Because it works in python, but not in the .exe, I thought it might have to do with my ignorance of how to use classes in conjunction with plotting well. Basically I call the class, and then initialize a bunch of things so I can refer to them later. That allows me to delete notes I've plotted before, old answers, etc.
How can I practice building up 'TkAgg' backended figures that will execute properly after cf_freeze? I feel like I need to start with some basic ideas and build up to my application, which is fairly complex.
One note, I do use pygame for the sounds.
Here is my setup file:
from cx_Freeze import setup, Executable
import os
os.environ['TCL_LIBRARY']=r'C:\Users\Bart\Anaconda3\tcl\tcl8.6'
os.environ['TK_LIBRARY']=r'C:\Users\Bart\Anaconda3\tcl\tk8.6'
import sys
base = None
if sys.platform == 'win32':
base = 'Win32GUI'
additional_mods = ['numpy.core._methods', 'numpy.lib.format',"matplotlib.backends.backend_tkagg", 'matplotlib.pyplot', 'matplotlib.image', 'matplotlib.widgets']
setup(
name = "Interval Trainer",
version = "1.0.0",
author = "Bart",
author_email = "bcubrich#gmail.com",
options = {"build_exe": {'includes': additional_mods,"packages":["pygame","tkinter",'random'],
"include_files": [
'Images/F cleff 8vb.png', 'Images/F cleff.png',
'Images/G cleff 8vb.png', 'Images/G cleff.png',
'Pitches/A#1.wav', 'Pitches/A#2.wav', 'Pitches/A#3.wav',
'Pitches/A#4.wav', 'Pitches/A#5.wav', 'Pitches/A1.wav',
'Pitches/A2.wav', 'Pitches/A3.wav', 'Pitches/A4.wav',
'Pitches/A5.wav', 'Pitches/Ab1.wav', 'Pitches/Ab2.wav',
'Pitches/Ab3.wav', 'Pitches/Ab4.wav', 'Pitches/B#2.wav',
'Pitches/B#3.wav', 'Pitches/B#4.wav', 'Pitches/B1.wav',
'Pitches/B2.wav', 'Pitches/B3.wav', 'Pitches/B4.wav',
'Pitches/B5.wav', 'Pitches/Bb1.wav', 'Pitches/Bb2.wav',
'Pitches/Bb3.wav', 'Pitches/Bb4.wav', 'Pitches/C#2.wav',
'Pitches/C#3.wav', 'Pitches/C#4.wav', 'Pitches/C#5.wav',
'Pitches/C2.wav', 'Pitches/C3.wav', 'Pitches/C4.wav',
'Pitches/C5.wav', 'Pitches/C6.wav', 'Pitches/D#2.wav',
'Pitches/D#3.wav', 'Pitches/D#4.wav', 'Pitches/D#5.wav',
'Pitches/D2.wav', 'Pitches/D3.wav', 'Pitches/D4.wav',
'Pitches/D5.wav', 'Pitches/Db1.wav', 'Pitches/Db2.wav',
'Pitches/Db3.wav', 'Pitches/Db4.wav', 'Pitches/E#2.wav',
'Pitches/E#3.wav', 'Pitches/E#4.wav', 'Pitches/E1.wav',
'Pitches/E2.wav', 'Pitches/E3.wav', 'Pitches/E4.wav',
'Pitches/E5.wav', 'Pitches/Eb2.wav', 'Pitches/Eb3.wav',
'Pitches/Eb4.wav', 'Pitches/F#1.wav', 'Pitches/F#2.wav',
'Pitches/F#3.wav', 'Pitches/F#4.wav', 'Pitches/F#5.wav',
'Pitches/F1.wav', 'Pitches/F2.wav', 'Pitches/F3.wav',
'Pitches/F4.wav', 'Pitches/F5.wav', 'Pitches/G#1.wav',
'Pitches/G#2.wav', 'Pitches/G#3.wav', 'Pitches/G#4.wav',
'Pitches/G#5.wav', 'Pitches/G1.wav', 'Pitches/G2.wav',
'Pitches/G3.wav', 'Pitches/G4.wav', 'Pitches/G5.wav',
'Pitches/Gb1.wav', 'Pitches/Gb2.wav', 'Pitches/Gb3.wav',
'Pitches/Gb4.wav']}},
executables = [Executable("Interval_trainer_v1_1.py", base=base)],
)
Output Image
Any help is appreciate.
See the matplotlib user interfaces examples embedding_in_tk and embedding_in_tk2 to practice building up TkAgg backended figures.

How to close Windows Portable Device IStream opened in Python / pythoncom / comtypes

I'm using Windows Portable Device in python with pythoncom and comtypes.
I'm in trouble because when I request for WPD_RESOURCE_THUMBNAIL resource, some android devices returns a "square" thumbnail while the raw image has 16:9 format (or 4:3...).
Then I tried to request for WPD_RESOURCE_DEFAULT resource in order to get the thumbnail from the EXIF data: so no need to read the whole file, once I get the EXIF tag for the thumbnail I can stop the read and skip to next file.
I'm able to get the thumbnail from the EXIF for the very first file. On the second file I get stuck on the GetStream() method. It simply hang.
I suppose because the IStream from the previous call was not closed/disposed.
Have you any idea on how to force the Dispose / Close of this IStream?
This is what I do in code:
optimalTransferSizeBytes, fileStream = resources.GetStream(
self.objectID,
WPD_RESOURCE_DEFAULT,
ctypes.c_ulong(0),
optimalTransferSizeBytes,
pFileStream
)
Thank you in advance for any suggestion on this.
EDIT:
Since I found no other ways to interrupt the stream and release all the resources, I ended up reading the whole stream for WPD_RESOURCE_DEFAULT. It's a bit slower but it's safer because the application runs on big screens also and using the EXIF's thumbnail can lead to poor quality images on screen. So I decided to read the whole stream for WPD_RESOURCE_DEFAULT for this purpose and speed up code somewhere outside this point.
Thank you #ShadowRanger for support.
The UnmanagedMemoryStream type has a Dispose method, if your library exposes all the methods for you, a simple fileStream.Dispose() should work. To be safe, you'd want to either implement a context manager wrapper to allow the use of the with statement, or less Pythonically, but more simply, use a try/finally, e.g.:
optimalTransferSizeBytes, fileStream = resources.GetStream(
self.objectID,
WPD_RESOURCE_DEFAULT,
ctypes.c_ulong(0),
optimalTransferSizeBytes,
pFileStream
)
try:
... do stuff with fileStream ...
finally:
fileStream.Dispose()
Alternatively, you can make your own context manager to perform disposal:
from contextlib import contextmanager
#contextmanager
def disposing(disposable):
try:
yield disposable
finally:
disposable.Dispose()
which would allow the slightly nicer code:
optimalTransferSizeBytes, fileStream = resources.GetStream(
self.objectID,
WPD_RESOURCE_DEFAULT,
ctypes.c_ulong(0),
optimalTransferSizeBytes,
pFileStream
)
with disposing(fileStream):
... do stuff with fileStream ...

opencv fisherface recognizer

I'm trying to load model files for a FisherFaceRecognizer. The initial problem is that the program was written for an older OpenCV version and it seems some interfaces were changed.
Info about my project:
programming language: Python 3.5
OpenCV Version: 3.3.0
These are the two lines were I had a problem with:
model = cv2.face.createFisherFaceRecognizer()
model.load('foo_model.xml')
In the OpenCV documentation I found out that there is a new way to call the create functions and it seems to work. But I could not find the right call for the load function. I have tried to use the read function of the recognizer, but that results in an error.
model = cv2.face.FisherFaceRecognizer_create()
model.read('foo_model.xml')
The error message I've got when I try to use read():
File can't be opened for reading! in function read
Does somebody can help me with loading the model files? Thank you :)
The problem is with the xml file format. if you open the XML file you will not find "my_object" tag. I will not go to the details of this but, every time I face this problem, it works when I modify the xml file as follows.
<?xml version="1.0"?>
<opencv_storage>
<my_object> //add this
.........
.........
.........
</my_object> //and this
</opencv_storage>
The problem seems to be that the xml format in which the models are saved had been changed. This seems to be a known issue. I am using OpenCV 3.3.0 and want to load a model from an older OpenCV version which results in the mentioned error from the read-function. In the OpenCV Q&A forum a solution was suggested to me, but in my case it did not work. Nonetheless I will drop the link to my post at OpenCV Q&A here. Maybe someone else with the same problem can benefit from it.

wx.Sound : wav file unsupported

I'm doing a game with wx.python and when I try to add a background music using wx.Sound I got the following error:
Python error:
Sound file 'images/game.wav' is in unsupported format.
This is the code I use. I've seen this code many times on the web but none had
the same problem:
sound = wx.Sound("images/game.wav")
sound.Play(wx.SOUND_ASYNC)
Sounds like you need to save the WAV file in a different format. WAV files are not all created equal.
http://en.wikipedia.org/wiki/WAV#WAV_file_compression_codecs_compared
Why not use wx.media or maybe the mplayer widget? I have a tutorial on each of these:
http://www.blog.pythonlibrary.org/2010/07/24/wxpython-creating-a-simple-media-player/
http://www.blog.pythonlibrary.org/2010/04/20/wxpython-creating-a-simple-mp3-player/

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