voodoohop

import librosa
import tensorflow as tf
import numpy as np

cqt_filter_fft = librosa.constantq.__cqt_filter_fft
EPS = 0.0001

class PseudoCqt():
    """A class to compute pseudo-CQT with Tensorflow.
    Written by Keunwoo Choi and adapted to tensorflow by Thomas Haferlach

voodoohop

# To add a change to our repository
git checkout -b "feature/feature-name" # Creates a branch called "feature/feature-name", then checks it out, locally.

git push --set-upstream origin feature/feature-name # Publish the branch on GitHub

# Make changes to your files

git add FILENAME(S) # Adds your files to "Tracked".

git status # See your "Tracked and Untracked files (green and red respectively"