add a loading file for a the DS fer2013

.gitignore

+data
\ No newline at end of file

.ipynb_checkpoints/buildEmotionModel-checkpoint.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

loadFer2013ds.py

+#This file load the dataset fer2013 as arrays. 
+import csv
+import numpy as np
+import cv2
+import matplotlib.pyplot as plt
+
+maxNbrImages = 484845
+emotions = ["Angry", "Disgust", "Fear", "Happy", "Sad", "Suprise", "Neutral"]
+
+def traitement(a,b,c):  #For testing
+	arr = strToArray(b)
+	print(a)
+	plt.imshow(arr)
+	plt.show()
+	pass
+
+def strToArray(string):  #Fer2013 provides images as string so it needs to be transformed
+	A = []
+	lenght = len(string)
+	i=0
+	nbr = ""
+
+	while i<lenght:
+		car = string[i]
+
+		if car != " ":
+			nbr += car
+		else:
+			A.append(int(nbr))
+			nbr = ""
+		i+=1
+	A.append(int(nbr))
+	
+	A = np.array(A)
+	A = np.reshape(A, (48, 48))
+
+	return A
+
+
+
+#LOAD DATA AS ARRAY
+X = []
+Y = []
+
+filename = "data/fer2013.csv"
+
+with open(filename,'r',encoding='utf-8') as file:
+	
+	csv_reader = csv.reader(file, delimiter=",")
+	next(csv_reader)  								#Passe la ligne de titre
+	
+	i=0
+	for row in csv_reader:
+
+		i+=1
+		if i>maxNbrImages: break
+		
+		emotionNbr, stringImage, typeImage = row
+		traitement(emotionNbr, stringImage, typeImage)
+
+		X.append(strToArray(stringImage))
+		Y.append(emotionNbr)
+
+X = np.array(X)
+Y = np.array(Y)
\ No newline at end of file

videoCapture.py

@@ -2,7 +2,7 @@
 import cv2
 import imageProcess as ip
 
-cap = cv2.VideoCapture(0)   #0 means we capture the first camera, your webcam probably
+cap = cv2.VideoCapture(-1)   #0 means we capture the first camera, your webcam probably
 
 while cap.isOpened():
     ret, frame = cap.read()  #Read next video frame, stop if frame not well read