Python intersectionの例

コード例 #1

 def graph_fn():
   corners1 = tf.constant([[4.0, 3.0, 7.0, 5.0], [5.0, 6.0, 10.0, 7.0]])
   corners2 = tf.constant([[3.0, 4.0, 6.0, 8.0], [14.0, 14.0, 15.0, 15.0],
                           [0.0, 0.0, 20.0, 20.0]])
   boxes1 = box_list.BoxList(corners1)
   boxes2 = box_list.BoxList(corners2)
   intersect = box_list_ops.intersection(boxes1, boxes2)
   return intersect

コード例 #2

ファイル: box_list_ops_test.py プロジェクト: jonathangenty0801/Object-detection

 def test_intersection(self):
     corners1 = tf.constant([[4.0, 3.0, 7.0, 5.0], [5.0, 6.0, 10.0, 7.0]])
     corners2 = tf.constant([[3.0, 4.0, 6.0, 8.0], [14.0, 14.0, 15.0, 15.0],
                             [0.0, 0.0, 20.0, 20.0]])
     exp_output = [[2.0, 0.0, 6.0], [1.0, 0.0, 5.0]]
     boxes1 = box_list.BoxList(corners1)
     boxes2 = box_list.BoxList(corners2)
     intersect = box_list_ops.intersection(boxes1, boxes2)
     with self.test_session() as sess:
         intersect_output = sess.run(intersect)
         self.assertAllClose(intersect_output, exp_output)

コード例 #3

ファイル: box_list_ops_test.py プロジェクト: Exscotticus/models

 def test_intersection(self):
   corners1 = tf.constant([[4.0, 3.0, 7.0, 5.0], [5.0, 6.0, 10.0, 7.0]])
   corners2 = tf.constant([[3.0, 4.0, 6.0, 8.0], [14.0, 14.0, 15.0, 15.0],
                           [0.0, 0.0, 20.0, 20.0]])
   exp_output = [[2.0, 0.0, 6.0], [1.0, 0.0, 5.0]]
   boxes1 = box_list.BoxList(corners1)
   boxes2 = box_list.BoxList(corners2)
   intersect = box_list_ops.intersection(boxes1, boxes2)
   with self.test_session() as sess:
     intersect_output = sess.run(intersect)
     self.assertAllClose(intersect_output, exp_output)