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ffmpeg -i source_video -i source_audio -c:v copy -map 0:v:0 -map 1:a:0 output_video

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First Create Noise Profile

This is done using ffmpeg:

ffmpeg -i source.mp3 -vn -ss 00:00:18 -t 00:00:20 noisesample.wav

Create Noise Profile for Sox

sox noisesample.wav -n noiseprof noise_profile_file

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# coords => List of tuple => [(x1, y1), ....(xn, yn)]
def voronoi(coords, width=800, height=800, use_max=False):
    coord_matrix = np.array(coords)
    X, Y = zip(*coords)
    if use_max:
        w, h = max(X) + 2, max(Y) + 2
    else:
        w, h = width, height
    print("Computing voronoi diagram of size :: {}, {}".format(w, h))

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import numpy as np
import matplotlib.pyplot as plt
from scipy.spatial import Voronoi

def voronoi_finite_polygons_2d(vor, radius=None):
    """
    Reconstruct infinite voronoi regions in a 2D diagram to finite
    regions.

    Parameters

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#!/usr/bin/env python3

import glob
from collections import defaultdict
import shutil
import os

def create_dir(dirname):
    if not os.path.isdir(dirname):
        os.mkdir(dirname)

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Convert sequence of image files into video.
The image filepaths are inside "files.txt" with each line representing.

mencoder -nosound -noskip -oac copy -ovc copy -o output.avi -mf fps=6 'mf://@files.txt'

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""" Python implementation of the OASIS algorithm.
Graham Taylor

Based on Matlab implementation of:
Chechik, Gal, et al.
"Large scale online learning of image similarity through ranking."
The Journal of Machine Learning Research 11 (2010): 1109-1135.
"""

from __future__ import division

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def euclidean_distance(vects):
    x, y = vects
    sum_square = K.sum(K.square(x - y), axis=1, keepdims=True)
    return K.sqrt(K.maximum(sum_square, K.epsilon()))

def eucl_dist_output_shape(shapes):
    shape1, shape2 = shapes
    return (shape1[0], 1)

def cosine_distance(vests):

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build docker image

docker build -t <imagename> .

example

docker build -t testapi

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# POST simple text
curl -XPOST localhost:8000/test --data "i am paradox" -H "Content-Type: text/plain"

# POST JSON


# GET
curl -XGET localhost:8000/test