WittmannF

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from sklearn.cross_validation import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.datasets import make_moons, make_circles, make_classification
from sklearn.svm import SVC

h = .02  # step size in the mesh

WittmannF

 
  if passenger['Sex'] == 'male':
            # male
            if passenger['Age'] < 10:
                if passenger['Pclass'] == 3:
                    if passenger['SibSp'] > 1:
                        predictions.append(0)
                    else:
                        predictions.append(1)
                else:

WittmannF

WittmannF

from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import train_test_split
from tflearn.data_utils import to_categorical
import tflearn

## Load the dataset
X, y = load_breast_cancer(True)

## Train/Test Split and convert class vector to a binary class matrix
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)

WittmannF

import numpy as np
import cv2, os
face_cascade = cv2.CascadeClassifier('cascade/haarcascades/haarcascade_frontalface_alt2.xml')
cap = cv2.VideoCapture(0)
while(True):
    # Capture frame-by-frame
    ret, frame = cap.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, scaleFactor=1.5, minNeighbors=5)
    for (x, y, w, h) in faces:

WittmannF

import cv2, os

# Funcao para busca de arquivos
def find(name, path):
    for root, dirs, files in os.walk(path):
        if (name in files) or (name in dirs):
            print("O diretorio/arquivo {} encontra-se em: {}".format(name, root))
            return os.path.join(root, name)
    # Caso nao encontre, recursao para diretorios anteriores
    return find(name, os.path.dirname(path))

WittmannF

import cv2, os

BLUE_COLOR = (255, 0, 0)
STROKE = 2

xml_path = 'haarcascade_frontalface_alt2.xml'
clf = cv2.CascadeClassifier(xml_path)
cap = cv2.VideoCapture(0)

while(not cv2.waitKey(20) & 0xFF == ord('q')):

WittmannF

print(__doc__)


# Code source: Gaël Varoquaux
#              Andreas Müller
# Modified for documentation by Jaques Grobler
# License: BSD 3 clause

import numpy as np
import matplotlib.pyplot as plt

WittmannF

"""
### Implemented Methods
- Get contacts from a selected group

### Requires
- Selenium: `pip install selenium`
- ChromeDriver: http://chromedriver.chromium.org/
    - After downloading chromedriver, make sure to add in a folder accessible from the PATH

### Example of Usage:

WittmannF

import os

def rename_dir(path,sufix,extension_searched):
    for file_name in os.listdir(path):
        file_name_without_ext = os.path.splitext(file_name)[0]
        extension = os.path.splitext(file_name)[1]
        if extension == extension_searched:
            if file_name_without_ext.rfind(sufix) > 0:
                new_file_name = file_name[:file_name_without_ext.rfind(sufix)] + extension_searched
                os.rename(os.path.join(path,file_name),os.path.join(path,new_file_name))