Update SegCloth.py

SegCloth.py

@@ -7,11 +7,6 @@ import base64
 # Initialisation du pipeline de segmentation
 segmenter = pipeline(model="mattmdjaga/segformer_b2_clothes")
 
-def encode_image_to_base64(image):
-    buffered = BytesIO()
-    image.save(buffered, format="PNG")
-    return base64.b64encode(buffered.getvalue()).decode('utf-8')
-
 def is_image_significant(image, threshold=0.01):
     """
     Vérifie si une image contient suffisamment de contenu non transparent.
@@ -67,8 +62,6 @@ def segment_clothing(img, clothes=["Hat", "Upper-clothes", "Skirt", "Pants", "Dr
                     # Recadrer l'image à la taille du masque avec la marge
                     cropped_image = empty_image.crop((left, top, right, bottom))
                     
-                    # Encodage de l'image recadrée en base64
-                    imageBase64 = encode_image_to_base64(cropped_image)
-                    result_images.append(imageBase64)
+                    result_images.append(cropped_image)
 
     return result_images