delete duplicated giou

boxmot/utils/iou.py

@@ -210,43 +210,6 @@ def diou_batch(bboxes1, bboxes2) -> np.ndarray:
 
         return (diou + 1) / 2.0 
 
-
-    def giou_batch(self, bboxes1, bboxes2) -> np.ndarray:
-        """
-        :param bbox_p: predict of bbox(N,4)(x1,y1,x2,y2)
-        :param bbox_g: groundtruth of bbox(N,4)(x1,y1,x2,y2)
-        :return:
-        """
-        # for details should go to https://arxiv.org/pdf/1902.09630.pdf
-        # ensure predict's bbox form
-        bboxes2 = np.expand_dims(bboxes2, 0)
-        bboxes1 = np.expand_dims(bboxes1, 1)
-
-        xx1 = np.maximum(bboxes1[..., 0], bboxes2[..., 0])
-        yy1 = np.maximum(bboxes1[..., 1], bboxes2[..., 1])
-        xx2 = np.minimum(bboxes1[..., 2], bboxes2[..., 2])
-        yy2 = np.minimum(bboxes1[..., 3], bboxes2[..., 3])
-        w = np.maximum(0.0, xx2 - xx1)
-        h = np.maximum(0.0, yy2 - yy1)
-        wh = w * h
-        iou = wh / (
-            (bboxes1[..., 2] - bboxes1[..., 0]) * (bboxes1[..., 3] - bboxes1[..., 1]) +
-            (bboxes2[..., 2] - bboxes2[..., 0]) * (bboxes2[..., 3] - bboxes2[..., 1]) -
-            wh
-        )
-
-        xxc1 = np.minimum(bboxes1[..., 0], bboxes2[..., 0])
-        yyc1 = np.minimum(bboxes1[..., 1], bboxes2[..., 1])
-        xxc2 = np.maximum(bboxes1[..., 2], bboxes2[..., 2])
-        yyc2 = np.maximum(bboxes1[..., 3], bboxes2[..., 3])
-        wc = xxc2 - xxc1
-        hc = yyc2 - yyc1
-        assert (wc > 0).all() and (hc > 0).all()
-        area_enclose = wc * hc
-        giou = iou - (area_enclose - wh) / area_enclose
-        giou = (giou + 1.0) / 2.0  # resize from (-1,1) to (0,1)
-        return giou
-
 
     @staticmethod
     def run_asso_func(self, bboxes1, bboxes2):