the-BPM-detector-python | BPM detection for audio files | 3D Printing library
kandi X-RAY | the-BPM-detector-python Summary
kandi X-RAY | the-BPM-detector-python Summary
You can find it here: Based on the work done in the MATLAB code located at github.com/panagiop/the-BPM-detector-python. Process .wav file to determine the Beats Per Minute. Dependencies: scipy, numpy, pywavelets, matplotlib.
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Top functions reviewed by kandi - BETA
- BPM detector function
- Detect the peak locations of the data
- Print a tuple of audio data
- Read a wav file
the-BPM-detector-python Key Features
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QUESTION
I'm using the following code to get the BPMS of an WAV file: https://github.com/scaperot/the-BPM-detector-python/blob/master/bpm_detection/bpm_detection.py
I'm trying to call this script from my own script but since bpm_detection.py just printing (and not returning anything) I can get the bottom line value:
print 'Completed. Estimated Beats Per Minute:', bpm
I tried to edit bpm_detection.py script by adding a main() function that I can call. But it mess something up and bmp resulting in Nan:
...ANSWER
Answered 2017-Jan-16 at 19:31The code in bpm_detection.py
is written for Python 2, you can spot this at the final print statement. You are using Python 3 (can also be seen from your use of the print function.
Another thing which has changed from Python 2 to Python 3 and which you have to port is the division operator /
. In Python 2 if both operands are integer it means integer division. In Python 3 it is always returning a float. You have to check all divisions if an integer division was intended and then use Python 3 integer division operator //
.
Note, that this may not the only thing to port to Python 3.
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Install the-BPM-detector-python
You can use the-BPM-detector-python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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