Python object_detection.core.box_list_ops.clip_to_window() Examples
The following are 30
code examples of object_detection.core.box_list_ops.clip_to_window().
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Example #1
| Source File: box_list_ops_test.py From MAX-Object-Detector with Apache License 2.0 | 6 votes |
|
def test_clip_to_window_filter_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=True)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5]])
Example #2
| Source File: box_list_ops_test.py From DOTA_models with Apache License 2.0 | 6 votes |
|
def test_clip_to_window_filter_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=True)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5]])
Example #3
| Source File: box_list_ops_test.py From hands-detection with MIT License | 6 votes |
|
def test_clip_to_window_without_filtering_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0], [0.0, 0.0, 0.0, 0.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=False)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5], [6]])
Example #4
| Source File: box_list_ops_test.py From object_detection_kitti with Apache License 2.0 | 6 votes |
|
def test_clip_to_window_filter_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=True)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5]])
Example #5
| Source File: box_list_ops_test.py From object_detection_kitti with Apache License 2.0 | 6 votes |
|
def test_clip_to_window_without_filtering_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0], [0.0, 0.0, 0.0, 0.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=False)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5], [6]])
Example #6
| Source File: box_list_ops_test.py From MBMD with MIT License | 6 votes |
|
def test_clip_to_window_filter_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=True)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5]])
Example #7
| Source File: box_list_ops_test.py From MBMD with MIT License | 6 votes |
|
def test_clip_to_window_without_filtering_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0], [0.0, 0.0, 0.0, 0.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=False)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5], [6]])
Example #8
| Source File: box_list_ops_test.py From Elphas with Apache License 2.0 | 6 votes |
|
def test_clip_to_window_filter_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=True)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5]])
Example #9
| Source File: box_list_ops_test.py From Elphas with Apache License 2.0 | 6 votes |
|
def test_clip_to_window_without_filtering_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0], [0.0, 0.0, 0.0, 0.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=False)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5], [6]])
Example #10
| Source File: box_list_ops_test.py From object_detection_with_tensorflow with MIT License | 6 votes |
|
def test_clip_to_window_filter_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=True)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5]])
Example #11
| Source File: box_list_ops_test.py From object_detection_with_tensorflow with MIT License | 6 votes |
|
def test_clip_to_window_without_filtering_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0], [0.0, 0.0, 0.0, 0.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=False)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5], [6]])
Example #12
| Source File: box_list_ops_test.py From object_detection_with_tensorflow with MIT License | 6 votes |
|
def test_clip_to_window_filter_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=True)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5]])
Example #13
| Source File: box_list_ops_test.py From object_detection_with_tensorflow with MIT License | 6 votes |
|
def test_clip_to_window_without_filtering_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0], [0.0, 0.0, 0.0, 0.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=False)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5], [6]])
Example #14
| Source File: box_list_ops_test.py From AniSeg with Apache License 2.0 | 6 votes |
|
def test_clip_to_window_filter_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=True)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5]])
Example #15
| Source File: box_list_ops_test.py From AniSeg with Apache License 2.0 | 6 votes |
|
def test_clip_to_window_without_filtering_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0], [0.0, 0.0, 0.0, 0.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=False)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5], [6]])
Example #16
| Source File: box_list_ops_test.py From hands-detection with MIT License | 6 votes |
|
def test_clip_to_window_filter_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=True)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5]])
Example #17
| Source File: box_list_ops_test.py From MAX-Object-Detector with Apache License 2.0 | 6 votes |
|
def test_clip_to_window_without_filtering_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0], [0.0, 0.0, 0.0, 0.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=False)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5], [6]])
Example #18
| Source File: box_list_ops_test.py From Accident-Detection-on-Indian-Roads with GNU Affero General Public License v3.0 | 6 votes |
|
def test_clip_to_window_filter_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=True)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5]])
Example #19
| Source File: box_list_ops_test.py From Accident-Detection-on-Indian-Roads with GNU Affero General Public License v3.0 | 6 votes |
|
def test_clip_to_window_without_filtering_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0], [0.0, 0.0, 0.0, 0.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=False)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5], [6]])
Example #20
| Source File: box_list_ops_test.py From g-tensorflow-models with Apache License 2.0 | 6 votes |
|
def test_clip_to_window_filter_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=True)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5]])
Example #21
| Source File: box_list_ops_test.py From g-tensorflow-models with Apache License 2.0 | 6 votes |
|
def test_clip_to_window_without_filtering_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0], [0.0, 0.0, 0.0, 0.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=False)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5], [6]])
Example #22
| Source File: box_list_ops_test.py From models with Apache License 2.0 | 6 votes |
|
def test_clip_to_window_filter_boxes_which_fall_outside_the_window(
self):
def graph_fn():
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=True)
return pruned.get(), pruned.get_field('extra_data')
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0]]
pruned_output, extra_data_out = self.execute_cpu(graph_fn, [])
self.assertAllClose(pruned_output, exp_output)
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5]])
Example #23
| Source File: box_list_ops_test.py From models with Apache License 2.0 | 6 votes |
|
def test_clip_to_window_without_filtering_boxes_which_fall_outside_the_window(
self):
def graph_fn():
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=False)
return pruned.get(), pruned.get_field('extra_data')
pruned_output, extra_data_out = self.execute(graph_fn, [])
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0], [0.0, 0.0, 0.0, 0.0]]
self.assertAllClose(pruned_output, exp_output)
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5], [6]])
Example #24
| Source File: box_list_ops_test.py From motion-rcnn with MIT License | 6 votes |
|
def test_clip_to_window_filter_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=True)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5]])
Example #25
| Source File: box_list_ops_test.py From motion-rcnn with MIT License | 6 votes |
|
def test_clip_to_window_without_filtering_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0], [0.0, 0.0, 0.0, 0.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=False)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5], [6]])
Example #26
| Source File: box_list_ops_test.py From mtl-ssl with Apache License 2.0 | 6 votes |
|
def test_clip_to_window_filter_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=True)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5]])
Example #27
| Source File: box_list_ops_test.py From mtl-ssl with Apache License 2.0 | 6 votes |
|
def test_clip_to_window_without_filtering_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0], [0.0, 0.0, 0.0, 0.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=False)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5], [6]])
Example #28
| Source File: box_list_ops_test.py From multilabel-image-classification-tensorflow with MIT License | 6 votes |
|
def test_clip_to_window_filter_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=True)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5]])
Example #29
| Source File: box_list_ops_test.py From multilabel-image-classification-tensorflow with MIT License | 6 votes |
|
def test_clip_to_window_without_filtering_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0], [0.0, 0.0, 0.0, 0.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=False)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5], [6]])
Example #30
| Source File: box_list_ops_test.py From HereIsWally with MIT License | 6 votes |
|
def test_clip_to_window_without_filtering_boxes_which_fall_outside_the_window(
self):
window = tf.constant([0, 0, 9, 14], tf.float32)
corners = tf.constant([[5.0, 5.0, 6.0, 6.0],
[-1.0, -2.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0],
[0.0, 0.0, 9.0, 14.0],
[-100.0, -100.0, 300.0, 600.0],
[-10.0, -10.0, -9.0, -9.0]])
boxes = box_list.BoxList(corners)
boxes.add_field('extra_data', tf.constant([[1], [2], [3], [4], [5], [6]]))
exp_output = [[5.0, 5.0, 6.0, 6.0], [0.0, 0.0, 4.0, 5.0],
[2.0, 3.0, 5.0, 9.0], [0.0, 0.0, 9.0, 14.0],
[0.0, 0.0, 9.0, 14.0], [0.0, 0.0, 0.0, 0.0]]
pruned = box_list_ops.clip_to_window(
boxes, window, filter_nonoverlapping=False)
with self.test_session() as sess:
pruned_output = sess.run(pruned.get())
self.assertAllClose(pruned_output, exp_output)
extra_data_out = sess.run(pruned.get_field('extra_data'))
self.assertAllEqual(extra_data_out, [[1], [2], [3], [4], [5], [6]])
