kittinan

# Ref: http://masnun.com/2016/03/29/python-a-quick-introduction-to-the-concurrent-futures-module.html

import time
import random

from concurrent.futures import ThreadPoolExecutor, wait, as_completed

def add(name):
    res = random.randint(1, 5)
    res = 2

kittinan

import cv2
import io
import socket
import struct
import time
import pickle
import zlib

client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
client_socket.connect(('192.168.1.124', 8485))

kittinan

"""
Adding a variable into Keras/TensorFlow CNN dense layer

https://stackoverflow.com/questions/42556919/adding-a-variable-into-keras-tensorflow-cnn-dense-layer

              ___________      _________      _________      _________     ________    ______
              | Conv    |     | Max    |     | Conv    |     | Max    |    |       |   |     |
    Image --> | Layer 1 | --> | Pool 1 | --> | Layer 2 | --> | Pool 2 | -->|       |   |     |
              |_________|     |________|     |_________|     |________|    | Dense |   | Out |
                                                                           | Layer |-->|_____|

kittinan

#Edit /etc/network/interfaces
auto wlan0
iface wlan0 inet dhcp 
wpa-ssid {ssid}
wpa-psk  {password}

kittinan

import subprocess
from gtts import gTTS

def play_mp3(path):
    subprocess.Popen(['mpg123', '-q', path]).wait()

text = "สวัสดี"
tts = gTTS(text=text, lang='th')
tts.save("hello.mp3")
play_mp3("hello.mp3")

kittinan

Model: lite_model_v1.h5 (Dense 100)
f1score: 0.979600348056747
precision: 0.9749029122509861
recall: 0.9843432709344426

Model: lite_model_v1_1.h5 (Dense 100)
f1score: 0.9807887916860532
precision: 0.9759241434331015
recall: 0.9857021801093907

kittinan

# Ref: https://www.kaggle.com/danbrice/keras-plot-history-full-report-and-grid-search
def plot_history(history):
    loss_list = [s for s in history.history.keys() if 'loss' in s and 'val' not in s]
    val_loss_list = [s for s in history.history.keys() if 'loss' in s and 'val' in s]
    acc_list = [s for s in history.history.keys() if 'acc' in s and 'val' not in s]
    val_acc_list = [s for s in history.history.keys() if 'acc' in s and 'val' in s]
    
    if len(loss_list) == 0:
        print('Loss is missing in history')
        return 

kittinan

#!/usr/bin/env python

import base64

from Crypto import Random
from Crypto.Cipher import AES

BS = 16
pad = lambda s: s + (BS - len(s) % BS) * chr(BS - len(s) % BS)
unpad = lambda s : s[0:-ord(s[-1])]

kittinan

import pandas as pd
import youtube_dl
import os

from youtube_dl.utils import DownloadError

from concurrent.futures import ThreadPoolExecutor, wait, as_completed


def download_youtube(youtube_id, idx):

kittinan

import pickle
import broadlink
import sys
import os

if len(sys.argv) != 3:
    sys.exit(0)

type = sys.argv[1]
command = sys.argv[2]