Python object_detection.utils.ops.reframe_box_masks_to_image_masks() Examples
The following are 30
code examples of object_detection.utils.ops.reframe_box_masks_to_image_masks().
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Example #1
| Source File: ops_test.py From moveo_ros with MIT License | 5 votes |
|
def testMaskOffCenterRemainsOffCenterInImage(self):
box_masks = tf.constant([[[1, 0],
[0, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.5, 0.75, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0.6111111, 0.16666669],
[0, 0, 0.3888889, 0.83333337],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #2
| Source File: ops_test.py From object_detection_kitti with Apache License 2.0 | 5 votes |
|
def testZeroImageOnEmptyMask(self):
box_masks = tf.constant([[[0, 0],
[0, 0]]], dtype=tf.float32)
boxes = tf.constant([[0.0, 0.0, 1.0, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #3
| Source File: ops_test.py From Live-feed-object-device-identification-using-Tensorflow-and-OpenCV with Apache License 2.0 | 5 votes |
|
def testMaskIsCenteredInImageWhenBoxIsCentered(self):
box_masks = tf.constant([[[1, 1],
[1, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.25, 0.75, 0.75]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 1, 1, 0],
[0, 1, 1, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #4
| Source File: ops_test.py From Elphas with Apache License 2.0 | 5 votes |
|
def testZeroImageOnEmptyMask(self):
box_masks = tf.constant([[[0, 0],
[0, 0]]], dtype=tf.float32)
boxes = tf.constant([[0.0, 0.0, 1.0, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #5
| Source File: ops_test.py From Elphas with Apache License 2.0 | 5 votes |
|
def testMaskIsCenteredInImageWhenBoxIsCentered(self):
box_masks = tf.constant([[[1, 1],
[1, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.25, 0.75, 0.75]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 1, 1, 0],
[0, 1, 1, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #6
| Source File: ops_test.py From Elphas with Apache License 2.0 | 5 votes |
|
def testMaskOffCenterRemainsOffCenterInImage(self):
box_masks = tf.constant([[[1, 0],
[0, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.5, 0.75, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0.6111111, 0.16666669],
[0, 0, 0.3888889, 0.83333337],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #7
| Source File: ops_test.py From object_detection_with_tensorflow with MIT License | 5 votes |
|
def testZeroImageOnEmptyMask(self):
box_masks = tf.constant([[[0, 0],
[0, 0]]], dtype=tf.float32)
boxes = tf.constant([[0.0, 0.0, 1.0, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #8
| Source File: ops_test.py From object_detection_with_tensorflow with MIT License | 5 votes |
|
def testMaskIsCenteredInImageWhenBoxIsCentered(self):
box_masks = tf.constant([[[1, 1],
[1, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.25, 0.75, 0.75]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 1, 1, 0],
[0, 1, 1, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #9
| Source File: ops_test.py From object_detection_with_tensorflow with MIT License | 5 votes |
|
def testMaskOffCenterRemainsOffCenterInImage(self):
box_masks = tf.constant([[[1, 0],
[0, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.5, 0.75, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0.6111111, 0.16666669],
[0, 0, 0.3888889, 0.83333337],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #10
| Source File: ops_test.py From object_detection_with_tensorflow with MIT License | 5 votes |
|
def testZeroImageOnEmptyMask(self):
box_masks = tf.constant([[[0, 0],
[0, 0]]], dtype=tf.float32)
boxes = tf.constant([[0.0, 0.0, 1.0, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #11
| Source File: ops_test.py From object_detection_with_tensorflow with MIT License | 5 votes |
|
def testMaskIsCenteredInImageWhenBoxIsCentered(self):
box_masks = tf.constant([[[1, 1],
[1, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.25, 0.75, 0.75]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 1, 1, 0],
[0, 1, 1, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #12
| Source File: ops_test.py From MBMD with MIT License | 5 votes |
|
def testMaskOffCenterRemainsOffCenterInImage(self):
box_masks = tf.constant([[[1, 0],
[0, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.5, 0.75, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0.6111111, 0.16666669],
[0, 0, 0.3888889, 0.83333337],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #13
| Source File: ops_test.py From hands-detection with MIT License | 5 votes |
|
def testMaskOffCenterRemainsOffCenterInImage(self):
box_masks = tf.constant([[[1, 0],
[0, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.5, 0.75, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0.6111111, 0.16666669],
[0, 0, 0.3888889, 0.83333337],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #14
| Source File: ops_test.py From hands-detection with MIT License | 5 votes |
|
def testMaskIsCenteredInImageWhenBoxIsCentered(self):
box_masks = tf.constant([[[1, 1],
[1, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.25, 0.75, 0.75]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 1, 1, 0],
[0, 1, 1, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #15
| Source File: ops_test.py From hands-detection with MIT License | 5 votes |
|
def testZeroImageOnEmptyMask(self):
box_masks = tf.constant([[[0, 0],
[0, 0]]], dtype=tf.float32)
boxes = tf.constant([[0.0, 0.0, 1.0, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #16
| Source File: ops_test.py From Live-feed-object-device-identification-using-Tensorflow-and-OpenCV with Apache License 2.0 | 5 votes |
|
def testZeroImageOnEmptyMask(self):
box_masks = tf.constant([[[0, 0],
[0, 0]]], dtype=tf.float32)
boxes = tf.constant([[0.0, 0.0, 1.0, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #17
| Source File: ops_test.py From moveo_ros with MIT License | 5 votes |
|
def testMaskIsCenteredInImageWhenBoxIsCentered(self):
box_masks = tf.constant([[[1, 1],
[1, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.25, 0.75, 0.75]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 1, 1, 0],
[0, 1, 1, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #18
| Source File: ops_test.py From moveo_ros with MIT License | 5 votes |
|
def testZeroImageOnEmptyMask(self):
box_masks = tf.constant([[[0, 0],
[0, 0]]], dtype=tf.float32)
boxes = tf.constant([[0.0, 0.0, 1.0, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #19
| Source File: ops_test.py From BMW-TensorFlow-Training-GUI with Apache License 2.0 | 5 votes |
|
def testMaskOffCenterRemainsOffCenterInImage(self):
box_masks = tf.constant([[[1, 0],
[0, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.5, 0.75, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0.6111111, 0.16666669],
[0, 0, 0.3888889, 0.83333337],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #20
| Source File: ops_test.py From BMW-TensorFlow-Training-GUI with Apache License 2.0 | 5 votes |
|
def testMaskIsCenteredInImageWhenBoxIsCentered(self):
box_masks = tf.constant([[[1, 1],
[1, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.25, 0.75, 0.75]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 1, 1, 0],
[0, 1, 1, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #21
| Source File: ops_test.py From BMW-TensorFlow-Training-GUI with Apache License 2.0 | 5 votes |
|
def testZeroBoxMasks(self):
box_masks = tf.zeros([0, 3, 3], dtype=tf.float32)
boxes = tf.zeros([0, 4], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllEqual(np_image_masks.shape, np.array([0, 4, 4]))
Example #22
| Source File: ops_test.py From BMW-TensorFlow-Training-GUI with Apache License 2.0 | 5 votes |
|
def testZeroImageOnEmptyMask(self):
box_masks = tf.constant([[[0, 0],
[0, 0]]], dtype=tf.float32)
boxes = tf.constant([[0.0, 0.0, 1.0, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #23
| Source File: ops_test.py From ros_tensorflow with Apache License 2.0 | 5 votes |
|
def testMaskOffCenterRemainsOffCenterInImage(self):
box_masks = tf.constant([[[1, 0],
[0, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.5, 0.75, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0.6111111, 0.16666669],
[0, 0, 0.3888889, 0.83333337],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #24
| Source File: ops_test.py From ros_tensorflow with Apache License 2.0 | 5 votes |
|
def testMaskIsCenteredInImageWhenBoxIsCentered(self):
box_masks = tf.constant([[[1, 1],
[1, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.25, 0.75, 0.75]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 1, 1, 0],
[0, 1, 1, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #25
| Source File: ops_test.py From ros_tensorflow with Apache License 2.0 | 5 votes |
|
def testZeroImageOnEmptyMask(self):
box_masks = tf.constant([[[0, 0],
[0, 0]]], dtype=tf.float32)
boxes = tf.constant([[0.0, 0.0, 1.0, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #26
| Source File: ops_test.py From Gun-Detector with Apache License 2.0 | 5 votes |
|
def testMaskOffCenterRemainsOffCenterInImage(self):
box_masks = tf.constant([[[1, 0],
[0, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.5, 0.75, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0.6111111, 0.16666669],
[0, 0, 0.3888889, 0.83333337],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #27
| Source File: ops_test.py From Gun-Detector with Apache License 2.0 | 5 votes |
|
def testMaskIsCenteredInImageWhenBoxIsCentered(self):
box_masks = tf.constant([[[1, 1],
[1, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.25, 0.75, 0.75]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 1, 1, 0],
[0, 1, 1, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #28
| Source File: ops_test.py From Gun-Detector with Apache License 2.0 | 5 votes |
|
def testZeroImageOnEmptyMask(self):
box_masks = tf.constant([[[0, 0],
[0, 0]]], dtype=tf.float32)
boxes = tf.constant([[0.0, 0.0, 1.0, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #29
| Source File: ops_test.py From tensorflow with BSD 2-Clause "Simplified" License | 5 votes |
|
def testMaskOffCenterRemainsOffCenterInImage(self):
box_masks = tf.constant([[[1, 0],
[0, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.5, 0.75, 1.0]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 0, 0.6111111, 0.16666669],
[0, 0, 0.3888889, 0.83333337],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
Example #30
| Source File: ops_test.py From tensorflow with BSD 2-Clause "Simplified" License | 5 votes |
|
def testMaskIsCenteredInImageWhenBoxIsCentered(self):
box_masks = tf.constant([[[1, 1],
[1, 1]]], dtype=tf.float32)
boxes = tf.constant([[0.25, 0.25, 0.75, 0.75]], dtype=tf.float32)
image_masks = ops.reframe_box_masks_to_image_masks(box_masks, boxes,
image_height=4,
image_width=4)
np_expected_image_masks = np.array([[[0, 0, 0, 0],
[0, 1, 1, 0],
[0, 1, 1, 0],
[0, 0, 0, 0]]], dtype=np.float32)
with self.test_session() as sess:
np_image_masks = sess.run(image_masks)
self.assertAllClose(np_image_masks, np_expected_image_masks)
