Update app.py

app.py

@@ -113,12 +113,12 @@ async def detect(
 
         detections.append({
             "class":      cls,
-            "confidence": conf,
-            "bbox":       [x1, y1, x2, y2],
-            "width_px":   w_px,
-            "height_px":  h_px,
-            "width_cm":   w_cm,
-            "height_cm":  h_cm,
+            "confidence": float(conf),
+            "bbox":       [int(x1), int(y1), int(x2), int(y2)],
+            "width_px":   int(w_px),
+            "height_px":  int(h_px),
+            "width_cm":   float(w_cm) if w_cm is not None else None,
+            "height_cm":  float(h_cm) if h_cm is not None else None,
         })
 
     # Encode result image
@@ -126,14 +126,14 @@ async def detect(
     img_b64  = base64.b64encode(buf).decode()
 
     return {
-        "success":         True,
-        "calibrated":      calibrated,
-        "pixels_per_cm":   round(pixels_per_cm, 2) if calibrated else None,
-        "marker_size_cm":  marker_size_cm,
-        "inference_time_s": round(time.time() - start, 3),
-        "total":           len(detections),
-        "detections":      detections,
-        "image_base64":    img_b64,
+        "success":            True,
+        "calibrated":         bool(calibrated),
+        "pixels_per_cm":      float(round(pixels_per_cm, 2)) if calibrated else None,
+        "marker_size_cm":     float(marker_size_cm),
+        "inference_time_s":   float(round(time.time() - start, 3)),
+        "total":              int(len(detections)),
+        "detections":         detections,
+        "image_base64":       img_b64,
     }
 
 if __name__ == "__main__":