Python object_detection.utils.np_box_ops.intersection() Examples

The following are 30 code examples of object_detection.utils.np_box_ops.intersection(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module object_detection.utils.np_box_ops , or try the search function .
Example #1
Source File: np_box_list_ops.py    From BMW-TensorFlow-Training-GUI with Apache License 2.0 5 votes vote down vote up 
def ioa(boxlist1, boxlist2):
  """Computes pairwise intersection-over-area between box collections.

  Intersection-over-area (ioa) between two boxes box1 and box2 is defined as
  their intersection area over box2's area. Note that ioa is not symmetric,
  that is, IOA(box1, box2) != IOA(box2, box1).

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N, M] representing pairwise ioa scores.
  """
  return np_box_ops.ioa(boxlist1.get(), boxlist2.get())
Example #2
Source File: np_box_ops_test.py    From Elphas with Apache License 2.0 5 votes vote down vote up 
def testIntersection(self):
    intersection = np_box_ops.intersection(self.boxes1, self.boxes2)
    expected_intersection = np.array([[2.0, 0.0, 6.0], [1.0, 0.0, 5.0]],
                                     dtype=float)
    self.assertAllClose(intersection, expected_intersection)
Example #3
Source File: np_box_list_ops.py    From object_detection_kitti with Apache License 2.0 5 votes vote down vote up 
def iou(boxlist1, boxlist2):
  """Computes pairwise intersection-over-union between box collections.

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N, M] representing pairwise iou scores.
  """
  return np_box_ops.iou(boxlist1.get(), boxlist2.get())
Example #4
Source File: np_box_list_ops.py    From Elphas with Apache License 2.0 5 votes vote down vote up 
def iou(boxlist1, boxlist2):
  """Computes pairwise intersection-over-union between box collections.

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N, M] representing pairwise iou scores.
  """
  return np_box_ops.iou(boxlist1.get(), boxlist2.get())
Example #5
Source File: np_box_list_ops.py    From Elphas with Apache License 2.0 5 votes vote down vote up 
def ioa(boxlist1, boxlist2):
  """Computes pairwise intersection-over-area between box collections.

  Intersection-over-area (ioa) between two boxes box1 and box2 is defined as
  their intersection area over box2's area. Note that ioa is not symmetric,
  that is, IOA(box1, box2) != IOA(box2, box1).

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N, M] representing pairwise ioa scores.
  """
  return np_box_ops.ioa(boxlist1.get(), boxlist2.get())
Example #6
Source File: np_box_list_ops.py    From Elphas with Apache License 2.0 5 votes vote down vote up 
def intersection(boxlist1, boxlist2):
  """Compute pairwise intersection areas between boxes.

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N*M] representing pairwise intersection area
  """
  return np_box_ops.intersection(boxlist1.get(), boxlist2.get())
Example #7
Source File: np_box_list_ops.py    From MBMD with MIT License 5 votes vote down vote up 
def iou(boxlist1, boxlist2):
  """Computes pairwise intersection-over-union between box collections.

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N, M] representing pairwise iou scores.
  """
  return np_box_ops.iou(boxlist1.get(), boxlist2.get())
Example #8
Source File: np_box_list_ops.py    From MBMD with MIT License 5 votes vote down vote up 
def intersection(boxlist1, boxlist2):
  """Compute pairwise intersection areas between boxes.

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N*M] representing pairwise intersection area
  """
  return np_box_ops.intersection(boxlist1.get(), boxlist2.get())
Example #9
Source File: np_box_ops_test.py    From MBMD with MIT License 5 votes vote down vote up 
def testIntersection(self):
    intersection = np_box_ops.intersection(self.boxes1, self.boxes2)
    expected_intersection = np.array([[2.0, 0.0, 6.0], [1.0, 0.0, 5.0]],
                                     dtype=float)
    self.assertAllClose(intersection, expected_intersection)
Example #10
Source File: np_box_list_ops.py    From object_detection_kitti with Apache License 2.0 5 votes vote down vote up 
def ioa(boxlist1, boxlist2):
  """Computes pairwise intersection-over-area between box collections.

  Intersection-over-area (ioa) between two boxes box1 and box2 is defined as
  their intersection area over box2's area. Note that ioa is not symmetric,
  that is, IOA(box1, box2) != IOA(box2, box1).

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N, M] representing pairwise ioa scores.
  """
  return np_box_ops.ioa(boxlist1.get(), boxlist2.get())
Example #11
Source File: np_box_list_ops.py    From MBMD with MIT License 5 votes vote down vote up 
def ioa(boxlist1, boxlist2):
  """Computes pairwise intersection-over-area between box collections.

  Intersection-over-area (ioa) between two boxes box1 and box2 is defined as
  their intersection area over box2's area. Note that ioa is not symmetric,
  that is, IOA(box1, box2) != IOA(box2, box1).

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N, M] representing pairwise ioa scores.
  """
  return np_box_ops.ioa(boxlist1.get(), boxlist2.get())
Example #12
Source File: np_box_list_ops.py    From moveo_ros with MIT License 5 votes vote down vote up 
def ioa(boxlist1, boxlist2):
  """Computes pairwise intersection-over-area between box collections.

  Intersection-over-area (ioa) between two boxes box1 and box2 is defined as
  their intersection area over box2's area. Note that ioa is not symmetric,
  that is, IOA(box1, box2) != IOA(box2, box1).

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N, M] representing pairwise ioa scores.
  """
  return np_box_ops.ioa(boxlist1.get(), boxlist2.get())
Example #13
Source File: np_box_list_ops.py    From moveo_ros with MIT License 5 votes vote down vote up 
def iou(boxlist1, boxlist2):
  """Computes pairwise intersection-over-union between box collections.

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N, M] representing pairwise iou scores.
  """
  return np_box_ops.iou(boxlist1.get(), boxlist2.get())
Example #14
Source File: np_box_list_ops.py    From moveo_ros with MIT License 5 votes vote down vote up 
def intersection(boxlist1, boxlist2):
  """Compute pairwise intersection areas between boxes.

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N*M] representing pairwise intersection area
  """
  return np_box_ops.intersection(boxlist1.get(), boxlist2.get())
Example #15
Source File: np_box_ops_test.py    From moveo_ros with MIT License 5 votes vote down vote up 
def testIntersection(self):
    intersection = np_box_ops.intersection(self.boxes1, self.boxes2)
    expected_intersection = np.array([[2.0, 0.0, 6.0], [1.0, 0.0, 5.0]],
                                     dtype=float)
    self.assertAllClose(intersection, expected_intersection)
Example #16
Source File: np_box_ops_test.py    From hands-detection with MIT License 5 votes vote down vote up 
def testIntersection(self):
    intersection = np_box_ops.intersection(self.boxes1, self.boxes2)
    expected_intersection = np.array([[2.0, 0.0, 6.0], [1.0, 0.0, 5.0]],
                                     dtype=float)
    self.assertAllClose(intersection, expected_intersection)
Example #17
Source File: np_box_list_ops.py    From BMW-TensorFlow-Training-GUI with Apache License 2.0 5 votes vote down vote up 
def iou(boxlist1, boxlist2):
  """Computes pairwise intersection-over-union between box collections.

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N, M] representing pairwise iou scores.
  """
  return np_box_ops.iou(boxlist1.get(), boxlist2.get())
Example #18
Source File: np_box_list_ops.py    From BMW-TensorFlow-Training-GUI with Apache License 2.0 5 votes vote down vote up 
def intersection(boxlist1, boxlist2):
  """Compute pairwise intersection areas between boxes.

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N*M] representing pairwise intersection area
  """
  return np_box_ops.intersection(boxlist1.get(), boxlist2.get())
Example #19
Source File: np_box_ops_test.py    From BMW-TensorFlow-Training-GUI with Apache License 2.0 5 votes vote down vote up 
def testIntersection(self):
    intersection = np_box_ops.intersection(self.boxes1, self.boxes2)
    expected_intersection = np.array([[2.0, 0.0, 6.0], [1.0, 0.0, 5.0]],
                                     dtype=float)
    self.assertAllClose(intersection, expected_intersection)
Example #20
Source File: np_box_list_ops.py    From ros_tensorflow with Apache License 2.0 5 votes vote down vote up 
def ioa(boxlist1, boxlist2):
  """Computes pairwise intersection-over-area between box collections.

  Intersection-over-area (ioa) between two boxes box1 and box2 is defined as
  their intersection area over box2's area. Note that ioa is not symmetric,
  that is, IOA(box1, box2) != IOA(box2, box1).

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N, M] representing pairwise ioa scores.
  """
  return np_box_ops.ioa(boxlist1.get(), boxlist2.get())
Example #21
Source File: np_box_list_ops.py    From ros_tensorflow with Apache License 2.0 5 votes vote down vote up 
def iou(boxlist1, boxlist2):
  """Computes pairwise intersection-over-union between box collections.

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N, M] representing pairwise iou scores.
  """
  return np_box_ops.iou(boxlist1.get(), boxlist2.get())
Example #22
Source File: np_box_list_ops.py    From ros_tensorflow with Apache License 2.0 5 votes vote down vote up 
def intersection(boxlist1, boxlist2):
  """Compute pairwise intersection areas between boxes.

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N*M] representing pairwise intersection area
  """
  return np_box_ops.intersection(boxlist1.get(), boxlist2.get())
Example #23
Source File: np_box_ops_test.py    From ros_tensorflow with Apache License 2.0 5 votes vote down vote up 
def testIntersection(self):
    intersection = np_box_ops.intersection(self.boxes1, self.boxes2)
    expected_intersection = np.array([[2.0, 0.0, 6.0], [1.0, 0.0, 5.0]],
                                     dtype=float)
    self.assertAllClose(intersection, expected_intersection)
Example #24
Source File: np_box_list_ops.py    From Gun-Detector with Apache License 2.0 5 votes vote down vote up 
def ioa(boxlist1, boxlist2):
  """Computes pairwise intersection-over-area between box collections.

  Intersection-over-area (ioa) between two boxes box1 and box2 is defined as
  their intersection area over box2's area. Note that ioa is not symmetric,
  that is, IOA(box1, box2) != IOA(box2, box1).

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N, M] representing pairwise ioa scores.
  """
  return np_box_ops.ioa(boxlist1.get(), boxlist2.get())
Example #25
Source File: np_box_list_ops.py    From Gun-Detector with Apache License 2.0 5 votes vote down vote up 
def iou(boxlist1, boxlist2):
  """Computes pairwise intersection-over-union between box collections.

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N, M] representing pairwise iou scores.
  """
  return np_box_ops.iou(boxlist1.get(), boxlist2.get())
Example #26
Source File: np_box_list_ops.py    From Gun-Detector with Apache License 2.0 5 votes vote down vote up 
def intersection(boxlist1, boxlist2):
  """Compute pairwise intersection areas between boxes.

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N*M] representing pairwise intersection area
  """
  return np_box_ops.intersection(boxlist1.get(), boxlist2.get())
Example #27
Source File: np_box_ops_test.py    From Gun-Detector with Apache License 2.0 5 votes vote down vote up 
def testIntersection(self):
    intersection = np_box_ops.intersection(self.boxes1, self.boxes2)
    expected_intersection = np.array([[2.0, 0.0, 6.0], [1.0, 0.0, 5.0]],
                                     dtype=float)
    self.assertAllClose(intersection, expected_intersection)
Example #28
Source File: np_box_list_ops.py    From tensorflow with BSD 2-Clause "Simplified" License 5 votes vote down vote up 
def ioa(boxlist1, boxlist2):
  """Computes pairwise intersection-over-area between box collections.

  Intersection-over-area (ioa) between two boxes box1 and box2 is defined as
  their intersection area over box2's area. Note that ioa is not symmetric,
  that is, IOA(box1, box2) != IOA(box2, box1).

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N, M] representing pairwise ioa scores.
  """
  return np_box_ops.ioa(boxlist1.get(), boxlist2.get())
Example #29
Source File: np_box_list_ops.py    From tensorflow with BSD 2-Clause "Simplified" License 5 votes vote down vote up 
def iou(boxlist1, boxlist2):
  """Computes pairwise intersection-over-union between box collections.

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N, M] representing pairwise iou scores.
  """
  return np_box_ops.iou(boxlist1.get(), boxlist2.get())
Example #30
Source File: np_box_list_ops.py    From tensorflow with BSD 2-Clause "Simplified" License 5 votes vote down vote up 
def intersection(boxlist1, boxlist2):
  """Compute pairwise intersection areas between boxes.

  Args:
    boxlist1: BoxList holding N boxes
    boxlist2: BoxList holding M boxes

  Returns:
    a numpy array with shape [N*M] representing pairwise intersection area
  """
  return np_box_ops.intersection(boxlist1.get(), boxlist2.get())