WittmannF’s gists

WittmannF / compare-svm-kernels.py

Last active July 5, 2024 15:02

Visualization of SVM Kernels Linear, RBF, Poly and Sigmoid on Python (Adapted from: http://scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html)

	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 / example.py

Last active February 27, 2017 17:40

Example of code for achieving an accuracy higher than 83% at the P0 of MLND (adapted from the submission of one of the students)

WittmannF / TFLearnxSklearn.csv

Last active July 24, 2018 17:58

Table with some equivalents between Sklearn and TFLearn

WittmannF / hello_tflearn.py

Created July 24, 2018 18:39

Hello TFLearn!

	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 / identificacao-rostos.py

Created August 14, 2018 15:47

	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 / reconhecimento-facial-autoxml.py

Last active June 6, 2020 15:07

Reconhecimento facial em python com busca automática do arquivo XML

	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 / reconhecimento-facial.py

Last active February 17, 2020 14:11

	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 / sklearn-comparison.py

Created November 3, 2018 12:27

	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 / whatsapp_api.py

Created November 14, 2018 21:34

WhatsApp API Selenium

	"""
	### 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 / exemplo_bizelli.py

Last active November 21, 2018 22:07

Rename subtitles from Udacity class. Code by Bizelli.

	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))

Fernando Marcos Wittmann WittmannF