italojs

import cv2
# Caso você tenha apenas 1 webcam, set device = 0, caso contrario, escolha seu device(webcam) de preferencia, 0, 1, 2 ,3 ...
cap = cv2.VideoCapture(0)
while True:
  # Obtendo nossa imagem através da webCam e transformando-a preto e branco
    _, image = cap.read()
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    
    # Mostrando a imagem na tela
    cv2.imshow("Output", image)

italojs

# import the necessary packages
from imutils import face_utils
import dlib
import cv2
 
# Vamos inicializar um detector de faces (HOG) para então
# fazer a predição dos pontos da nossa face.
#p é o diretorio do nosso modelo já treinado, no caso, ele está no mesmo diretorio
# que esse script
p = "shape_predictor_68_face_landmarks.dat"

italojs

import cv2
# if (you have only 1 webcam){ set device = 0} else{ chose your favorite webcam setting device = 1, 2 ,3 ... }
cap = cv2.VideoCapture(0)
while True:
  # Getting our image by webcam and converting it into a gray image scale
    _, image = cap.read()
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    
    # show the gray image
    cv2.imshow("Output", image)

italojs

from imutils import face_utils
import dlib
import cv2
 
# Vamos inicializar um detector de faces (HOG) para então
# let's go code an faces detector(HOG) and after detect the 
# landmarks on this detected face

# p = our pre-treined model directory, on my case, it's on the same script's diretory.
p = "shape_predictor_68_face_landmarks.dat"

italojs

package main

func readFile(path string) (record [][]string) {
	//Open the file
	file, err := os.Open(path)
	if err != nil {
		log.Fatalln("Error: ", err)
		return
	}
	//Close the file when this method finish

italojs

package main

func readFile(path string) (record [][]string) {
	//[...]
	return
}

func getCollum(elements [][]string, ColumnIndex int) (column []string) {
	//for each []line in dataset
	//get the the columIndex value

italojs

package main

//[...]

func main() {
  //[...]
  classes := distinct(getCollum(records, len(records[0])-1))
  
  var train [][]string
	var test [][]string

italojs

package main

//[...]
func getValuesByClass(records [][]string, class string) (newRecords [][]string) {
	//make a new matrix instance with 0 lines
	newRecords = make([][]string, 0)
	//for each line in your matrix(records)
	for l := range records {
		//if the value in the last index of this line(that is the class) is iguals
		//this method's parameter class

italojs

package main

//[...]
func divideInPercent(records [][]string, percent float32) (newRecords [][]string, residue [][]string) {
	//multiply the number of lines by percent(float number that is < 1.0)
	//"i" now is the lines quantity to get in the dataset (records)
	i := float32(len(records)) * percent
	//while i is bigger than 0
	for i > 0 {
		//so get the line index (i)

italojs

package main

//[...]


func main() {
  //[...]
  var train [][]string
	var test [][]string