Ajout des tests sur HaarCascade

ongoing/HaarCascade_tests/trained_classifiers/haar.py~

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+import numpy as np
+import cv2 as cv
+face_cascade = cv.CascadeClassifier('banana_classifier.xml')
+img = cv.imread('000.jpg')
+gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
+faces = face_cascade.detectMultiScale(gray, 1.3, 5)
+for (x,y,w,h) in faces:
+    cv.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
+    roi_gray = gray[y:y+h, x:x+w]
+    roi_color = img[y:y+h, x:x+w]
+cv.imshow('img',img)
+cv.waitKey(0)
+cv.destroyAllWindows()