VieVie31

How to run Keras + Tensorflow on GPU @UPMC

Connection @UPMC network

Change XXXXXXX by your student id :

ssh XXXXXXX@ssh.ufr-info-p6.jussieu.fr

Change Y by the id of the machine :

VieVie31

import math
import numpy as np
import matplotlib.pyplot as plt

from random import *


def euclidian(v1, v2):
     return (sum((v1 - v2) ** 2)) ** .5

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from random import *
from psonic import *

#random major scale chord progression from the transitions allowed by:
#http://www.dummies.com/art-center/music/major-and-minor-chord-progressions-for-music-composition/

def get_major_chord(base_note):
    """Take the base note and return a list of 3 notes in
    the root position of the major chord of the base note.

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class State:
    state_id_counter = 0
    
    def __init__(self, initial=False, final=False):
        #setting an unique id
        self.id = State.state_id_counter
        State.state_id_counter += 1
        #setting params
        self.initial = initial
        self.final = final

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import numpy as np

NB_STATES = input("nb autocollants a collectionner : ")
PROBA = input("probaabilite minimale 'to catch them all' : ") #0.95 par example

#transition matrix
states = np.zeros((NB_STATES, NB_STATES))

#setting tranition probability
for i in range(NB_STATES):

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import cv2
import numpy as np

from skvideo.io import vreader

VIDEO_PATH = "room.mp4" #my room where i'm moving and i want to remove myself to get only the background...

cap = vreader(VIDEO_PATH)
L = list(cap)
L = map(lambda img: cv2.cvtColor(img, cv2.COLOR_BGR2GRAY), L) #to gray scale

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"""
    Discrete Fourier Transform
"""
import math
import numpy as np
import matplotlib.pyplot as plt

N = 200                 #sample size
x = np.cos(range(N))    #create a periodic cyclic function
r = np.random.random(N) #create some noise

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import Tkinter as tk

from comptage_sql import *

def format_row(t):
    return "ID: {}, {}, {}-{}".format(
        t[0], "HOMME" if not t[1] else "FEMME",
        t[2], t[2] + 10) 

def onselect(evt):

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import time
import sqlite3

DB_NAME = 'comptage.db'


def create_base():
    conn = sqlite3.connect(DB_NAME)
    c = conn.cursor()
    c.execute("""CREATE TABLE IF NOT EXISTS compte (