Pointmap: drop bg-removal toggle; fg-bg is mandatory

app.py

@@ -59,8 +59,6 @@ DEFAULT_SIZE = "0.4B"  # iteration mode — only this is preloaded; others lazy-
 
 FG_REPO = "facebook/sapiens-seg-foreground-1b-torchscript"
 FG_FILENAME = "sapiens_1b_seg_foreground_epoch_8_torchscript.pt2"
-BG_OPTIONS = ["fg-bg", "no-bg-removal"]
-DEFAULT_BG = "fg-bg"
 
 DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
 
@@ -198,7 +196,7 @@ def _make_ply(image_rgb: np.ndarray, pointmap_hwc: np.ndarray, mask_hw: np.ndarr
 # Gradio handler
 
 @spaces.GPU(duration=180)
-def predict(image: Image.Image, size: str, bg_mode: str):
+def predict(image: Image.Image, size: str):
     if image is None:
         return None, None
 
@@ -210,7 +208,9 @@ def predict(image: Image.Image, size: str, bg_mode: str):
     model = _get_pointmap_model(size)
     pointmap = _estimate_pointmap(image_bgr, model)
 
-    mask = _foreground_mask(image_pil, h0, w0) if bg_mode == "fg-bg" else None
+    # Foreground masking is mandatory — keeps the cloud clean and the camera
+    # marker meaningful (background depth is unreliable).
+    mask = _foreground_mask(image_pil, h0, w0)
     ply_path = _make_ply(image_rgb, pointmap, mask)
 
     return ply_path, ply_path
@@ -295,13 +295,7 @@ with gr.Blocks(title="Sapiens2 Pointmap", theme=gr.themes.Soft(), css=CUSTOM_CSS
             choices=["0.4B"],  # iteration mode — re-add other sizes when shipping
             value=DEFAULT_SIZE,
             label="Model",
-            scale=2,
-        )
-        bg = gr.Radio(
-            choices=BG_OPTIONS,
-            value=DEFAULT_BG,
-            label="Background",
-            scale=2,
+            scale=4,
         )
         run = gr.Button("Run", variant="primary", size="lg", scale=1)
 
@@ -310,7 +304,7 @@ with gr.Blocks(title="Sapiens2 Pointmap", theme=gr.themes.Soft(), css=CUSTOM_CSS
     with gr.Accordion("Raw Pointmap", open=False):
         out_ply_file = gr.File(label="Point cloud (.ply — open in MeshLab/CloudCompare/Blender)")
 
-    run.click(predict, inputs=[inp, size, bg], outputs=[out_ply, out_ply_file])
+    run.click(predict, inputs=[inp, size], outputs=[out_ply, out_ply_file])
 
 
 if __name__ == "__main__":