Remove Space-side median from normal output (kept for depth) — user wants raw normals, client-side filter if needed

infer.py

@@ -258,9 +258,12 @@ def process_single_image(image_path, pipeline, task_name, device,
         process_res=process_res,
         ).images[0]
 
-    # Strip the FLUX-VAE 16-px patch-grid 'weave' BEFORE the depth/normal split.
-    # ksize=11 for normals (smaller than depth's 15 to keep edges crisp).
-    prediction = np.clip(degrid_median(prediction, ksize=11), 0.0, 1.0).astype(np.float32)
+    # NO Space-side median filter on normals — per user decision, normals are
+    # returned RAW from the model so any filtering can be tuned client-side
+    # (the FLUX 16-px grid is present but normals encode orientation everywhere,
+    # so over-filtering softens real edges; better to control it downstream).
+    # degrid_median() function is kept in this file in case re-enabling is wanted.
+    prediction = np.clip(prediction, 0.0, 1.0).astype(np.float32)
 
     if task_name == "depth":
         output_npy = prediction.mean(axis=-1)