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app.py

@@ -34,7 +34,8 @@ from transformers import pipeline
 #   setting                     parts   biggest region
 #   SAM defaults                  ~40   (13% of frame even covered)
 #   64 pts / IoU .5 / stab .75     117   24%   <- one blob held a quarter of the art
-#   96 pts / IoU .35 / stab .5     284   10%   <- the giants break apart
+#   96 pts / IoU .35 / stab .5     284   10%
+#   96 pts / IoU .3  / stab .3     443    9%   <- current, finest that stays sane
 #
 # `stability_score_thresh` is the one that lets the finer, "less stable" masks
 # through, and the DENSE GRID is what actually splits a big region: more sample
@@ -158,9 +159,9 @@ def _run(pixels: np.ndarray, points_per_crop: int, pred_iou_thresh: float, stabi
 def segment(
     image: Image.Image,
     points_per_crop: int = 96,
-    min_area_frac: float = 0.0002,
-    pred_iou_thresh: float = 0.35,
-    stability_score_thresh: float = 0.5,
+    min_area_frac: float = 0.0001,
+    pred_iou_thresh: float = 0.3,
+    stability_score_thresh: float = 0.3,
     gap_reach: int = 32,
 ):
     """
@@ -218,10 +219,10 @@ with gr.Blocks(title="Segment Everything API") as demo:
             image_in = gr.Image(label="Image", type="pil")
             points = gr.Slider(8, 128, value=96, step=8, label="Points per crop (detail)")
             min_area = gr.Slider(
-                0.0, 0.01, value=0.0002, step=0.0001, label="Min segment area (fraction)"
+                0.0, 0.01, value=0.0001, step=0.0001, label="Min segment area (fraction)"
             )
-            iou = gr.Slider(0.2, 0.99, value=0.35, step=0.01, label="Predicted IoU threshold")
-            stability = gr.Slider(0.2, 0.99, value=0.5, step=0.01, label="Stability threshold")
+            iou = gr.Slider(0.2, 0.99, value=0.3, step=0.01, label="Predicted IoU threshold")
+            stability = gr.Slider(0.2, 0.99, value=0.3, step=0.01, label="Stability threshold")
             gap = gr.Slider(0, 64, value=32, step=1, label="Gap close reach (px)")
             run = gr.Button("Segment", variant="primary")
         with gr.Column():