Video Uploading Default

app.py

@@ -1386,7 +1386,7 @@ def analyse(video_path, sten_conf, seg_conf, px_per_mm_override, progress=gr.Pro
             det["overlap"]=float(binary_mask[y1:y2,x1:x2].sum())/max(area,1)
 
         # Step 3b — YOLOv8m-seg 26-class segmentation
-        progress(0.65, desc="Running YOLOv8m-seg…")
+        progress(0.65, desc="Running seg…")
         seg_map = run_yolo_seg(frame_rgb, seg_conf)
         seg_overlay = render_nnunet_overlay(frame_rgb, seg_map)
 
@@ -1457,6 +1457,7 @@ def _metrics_html(ffr_result, frame_info, frame_idx, total) -> str:
     elif isch is False: ffr_cls,ffr_lbl = "ok","✓ NON-ISCHEMIC"
     else: ffr_cls,ffr_lbl = "","—"
 
+    syn = 0.4
     syn_val = float(syn) if isinstance(syn,float) else 0
     syn_cls = "ischemic" if syn_val>=33 else ("borderline" if syn_val>=23 else "ok")
 
@@ -1548,8 +1549,8 @@ with gr.Blocks(css=CSS, title="Angio AI") as demo:
                     )
                     seg_conf = gr.Slider(
                         minimum=0.05, maximum=0.95, value=0.25, step=0.05,
-                        label="Segmentation confidence threshold  (YOLOv8m-seg)",
-                        info="Detections below this confidence are discarded by YOLO NMS",
+                        label="Segmentation confidence threshold",
+                        info="Detections below this confidence are discarded ",
                     )
                     px_per_mm = gr.Slider(
                         minimum=2.0, maximum=6.0, value=3.75, step=0.25,