patrickbrus

def get_class_activation_map(model, img):
    ''' 
    this function computes the class activation map
    
    Inputs:
        1) model (tensorflow model) : trained model
        2) img (numpy array of shape (224, 224, 3)) : input image
    '''
    
    # expand dimension to fit the image to a network accepted input size

adonese

def partition3(A, l, r):
"""
partition3: A partition for quicksort algorithm. We'll use the 3-way to handle few equal elements in array (happens
a lot in practical use.)
This function is called from the main function quick_sort.
"""
    lt = l  # We initiate lt to be the part that is less than the pivot
    i = l   # We scan the array from left to right
    gt = r  # The part that is greater than the pivot
    pivot = A[l]    # The pivot, chosen to be the first element of the array, that why we'll randomize the first elements position

jiaaro

Simple example of rendering a midi file with Pydub

Basically, this takes a MIDI input file (I just googled and grabbed one of Maroon 5's "Animal" – I know, I know) and generates a WAV file.

NOTE: This is the slowest midi rendering program I have ever seen!

Dependencies:

• Pydub (pydub.com)