tkshnkmr

import os
import torch
import torch.utils.data
import torchvision
from PIL import Image
from pycocotools.coco import COCO

class myOwnDataset(torch.utils.data.Dataset):
    def __init__(self, root, annotation, transforms=None):
        self.root = root

jdye64

#!/usr/bin/python

print "Converting all of the .dav files in this current directory into .mp4 files using ffmpeg"	
import os
from subprocess import call

files = [f for f in os.listdir('.') if os.path.isfile(f)]
for f in files:
    ext = f.split(".")[-1]
    if ext == "dav" or ext == "DAV":

alotaiba

Google Text to Speech API

Base URL: http://translate.google.com/translate_tts
It converts written words into audio. It accepts GET requests.

GET

q
The query string to convert to audio

tl
Translation language, for example, ar for Arabic, or en-us for English