[merger] speed up numpy conversion

fixtracks/utils/merger.py

@@ -56,10 +56,7 @@ class Merger(QRunnable):
         numpy.ndarray
             2D array, Coordinates of the bounding box for each detection. Shape: (num_detections, 4) x1, y1, x2, y2
         """
-        x = lambda kp: np.array([float(kpp) for kpp in kp[1:-1].split(",")])
         logging.info("Converting to numpy ...")
-        # from IPython import embed
-        # embed()
         dimensions = 2
         key_columns = [c for c in df.columns if "key_" in c]
         box_columns = [c for c in df.columns if "box_" in c]
@@ -68,6 +65,7 @@ class Merger(QRunnable):
         boxcoordinates = np.stack([df[b].values for b in box_columns]).astype(np.float32).T
         temp_v = df.visible.values
         temp_k = np.stack([df[k].values for k in key_columns]).T
+        x = lambda kp: np.array([float(kpp) for kpp in kp[1:-1].split(",")])
         for i, k in enumerate(temp_k):
             temp = np.array([x(kp) for kp in k])
             keypoints[i, :, :] = temp