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app.py

@@ -347,8 +347,9 @@ def build_textured_cube(pil_imgs, face_rotations=None):
     # récupérer tailles (on suppose que inference a déjà redimensionné left/right si besoin)
     front_w, front_h = pil_imgs[0].size
     right_w, right_h = pil_imgs[1].size
-    back_w, back_h = pil_imgs[2].size
-    left_w, left_h = pil_imgs[3].size
+    
+    ratio = 45/145
+    right_w = int(front_w * ratio)
 
     # définir dimensions physiques du parallélépipède (en "px" puis on normalise)
     width_px = float(front_w)    # largeur X (front width)

inference.py

@@ -88,11 +88,11 @@ def inference(fiber_imgs, ring_imgs, num_steps):
     bl = ring_imgs.crop((0, tile, tile, canvas_size))
     br = ring_imgs.crop((tile, tile, canvas_size, canvas_size))
     
-    tr = cv2.resize(np.asarray(tr), (new_width, original_height), interpolation=cv2.INTER_LANCZOS4)
-    br = cv2.resize(np.asarray(br), (new_width, original_height), interpolation=cv2.INTER_LANCZOS4)
+    # tr = cv2.resize(np.asarray(tr), (new_width, original_height), interpolation=cv2.INTER_LANCZOS4)
+    # br = cv2.resize(np.asarray(br), (new_width, original_height), interpolation=cv2.INTER_LANCZOS4)
     
-    tr = PIL.Image.fromarray(tr) 
-    br = PIL.Image.fromarray(br) 
+    # tr = PIL.Image.fromarray(tr) 
+    # br = PIL.Image.fromarray(br) 
 
     # close opened images to free handles
     fiber_imgs.close()