ajout du masque

Test_traitement_image.py

@@ -7,13 +7,13 @@ from binary_thresholding import *
 from Retour_RGB import *
 from masque import remove_isolated_pixels
 
-
-image_RGB=resizing1("C:\\Users\\antod\\Desktop\\Projet S6\\ia-detection-leucemie\\exemple_image.jpg")
-image_traitee=Binary_tresholding(K_clustering(RGB_LAB(resizing1("C:\\Users\\antod\\Desktop\\Projet S6\\ia-detection-leucemie\\exemple_image.jpg"))))
-removed_pixel=remove_isolated_pixels(image_traitee,k=7)
-cv2.imshow("image de base",image_RGB)
-cv2.imshow('Image traitée', image_traitee)
-cv2.imshow('Retour aux origines',mask_RGB(image_RGB,removed_pixel))
-cv2.imshow('masque',removed_pixel)
-cv2.waitKey(0)
-cv2.destroyAllWindows()
+if 1==1:
+    image_RGB=resizing1("C:\\Users\\antod\\Desktop\\Projet S6\\ia-detection-leucemie\\exemple_image.jpg")
+    image_traitee=Binary_tresholding(K_clustering(RGB_LAB(resizing1("C:\\Users\\antod\\Desktop\\Projet S6\\ia-detection-leucemie\\exemple_image.jpg"))))
+    removed_pixel=remove_isolated_pixels(image_traitee,k=7)
+    cv2.imshow("image de base",image_RGB)
+    cv2.imshow('Image traitée', image_traitee)
+    cv2.imshow('Retour aux origines',mask_RGB(image_RGB,removed_pixel))
+    cv2.imshow('masque',removed_pixel)
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()

resising_224x224.py

@@ -11,13 +11,13 @@ cv2.waitKey(0)
 """
 
 
-def resizing1(chemin_image):
+def resizing1(chemin_image,k=224):
     """fonction qui permet de convertir la taille de l'image rentrée en paramètre au format 224 x 224
     Arguments :
     image_jpg : nom de l'image que l'on veut convertir (se termine par .jpg)
     """
     img=cv2.imread(chemin_image)
-    resized_img = cv2.resize(img, (500,500))
+    resized_img = cv2.resize(img, (k,k))
     return resized_img