clean up bbox.

lib/utils/bbox.pyx

@@ -54,40 +54,3 @@ def bbox_overlaps(
                     overlaps[n, k] = iw * ih / ua
     return overlaps
 
-def bbox_overlaps_self(
-        np.ndarray[DTYPE_t, ndim=2] boxes,
-        np.ndarray[DTYPE_t, ndim=2] query_boxes):
-    """
-    Parameters
-    ----------
-    boxes: (N, 4) ndarray of float
-    query_boxes: (K, 4) ndarray of float
-    Returns
-    -------
-    overlaps: (N, K) ndarray of overlap between boxes and query_boxes
-    """
-    cdef unsigned int N = boxes.shape[0]
-    cdef unsigned int K = query_boxes.shape[0]
-    cdef np.ndarray[DTYPE_t, ndim=2] overlaps = np.zeros((N, K), dtype=DTYPE)
-    cdef DTYPE_t iw, ih, box_area
-    cdef DTYPE_t ua
-    cdef unsigned int k, n
-    for k in range(K):
-        box_area = (
-            (query_boxes[k, 2] - query_boxes[k, 0] + 1) *
-            (query_boxes[k, 3] - query_boxes[k, 1] + 1)
-        )
-        for n in range(N):
-            iw = (
-                min(boxes[n, 2], query_boxes[k, 2]) -
-                max(boxes[n, 0], query_boxes[k, 0]) + 1
-            )
-            if iw > 0:
-                ih = (
-                    min(boxes[n, 3], query_boxes[k, 3]) -
-                    max(boxes[n, 1], query_boxes[k, 1]) + 1
-                )
-                if ih > 0:
-                    ua = float(box_area)
-                    overlaps[n, k] = iw * ih / ua
-    return overlaps