本文整理汇总了Python中object_detection.matchers.argmax_matcher.ArgMaxMatcher方法的典型用法代码示例。如果您正苦于以下问题：Python argmax_matcher.ArgMaxMatcher方法的具体用法？Python argmax_matcher.ArgMaxMatcher怎么用？Python argmax_matcher.ArgMaxMatcher使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类object_detection.matchers.argmax_matcher的用法示例。
在下文中一共展示了argmax_matcher.ArgMaxMatcher方法的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_return_correct_matches_with_default_thresholds
# 需要导入模块: from object_detection.matchers import argmax_matcher [as 别名]
# 或者: from object_detection.matchers.argmax_matcher import ArgMaxMatcher [as 别名]
def test_return_correct_matches_with_default_thresholds(self):
similarity = np.array([[1., 1, 1, 3, 1],
[2, -1, 2, 0, 4],
[3, 0, -1, 0, 0]])
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=None)
expected_matched_rows = np.array([2, 0, 1, 0, 1])
sim = tf.constant(similarity)
match = matcher.match(sim)
matched_cols = match.matched_column_indices()
matched_rows = match.matched_row_indices()
unmatched_cols = match.unmatched_column_indices()
with self.test_session() as sess:
res_matched_cols = sess.run(matched_cols)
res_matched_rows = sess.run(matched_rows)
res_unmatched_cols = sess.run(unmatched_cols)
self.assertAllEqual(res_matched_rows, expected_matched_rows)
self.assertAllEqual(res_matched_cols, np.arange(similarity.shape[1]))
self.assertEmpty(res_unmatched_cols) 示例2: test_return_correct_matches_with_matched_and_unmatched_threshold
# 需要导入模块: from object_detection.matchers import argmax_matcher [as 别名]
# 或者: from object_detection.matchers.argmax_matcher import ArgMaxMatcher [as 别名]
def test_return_correct_matches_with_matched_and_unmatched_threshold(self):
similarity = np.array([[1, 1, 1, 3, 1],
[2, -1, 2, 0, 4],
[3, 0, -1, 0, 0]], dtype=np.int32)
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=3,
unmatched_threshold=2)
expected_matched_cols = np.array([0, 3, 4])
expected_matched_rows = np.array([2, 0, 1])
expected_unmatched_cols = np.array([1]) # col 2 has too high maximum val
sim = tf.constant(similarity)
match = matcher.match(sim)
matched_cols = match.matched_column_indices()
matched_rows = match.matched_row_indices()
unmatched_cols = match.unmatched_column_indices()
with self.test_session() as sess:
res_matched_cols = sess.run(matched_cols)
res_matched_rows = sess.run(matched_rows)
res_unmatched_cols = sess.run(unmatched_cols)
self.assertAllEqual(res_matched_rows, expected_matched_rows)
self.assertAllEqual(res_matched_cols, expected_matched_cols)
self.assertAllEqual(res_unmatched_cols, expected_unmatched_cols) 示例3: test_build_arg_max_matcher_with_non_default_parameters
# 需要导入模块: from object_detection.matchers import argmax_matcher [as 别名]
# 或者: from object_detection.matchers.argmax_matcher import ArgMaxMatcher [as 别名]
def test_build_arg_max_matcher_with_non_default_parameters(self):
matcher_text_proto = """
argmax_matcher {
matched_threshold: 0.7
unmatched_threshold: 0.3
negatives_lower_than_unmatched: false
force_match_for_each_row: true
}
"""
matcher_proto = matcher_pb2.Matcher()
text_format.Merge(matcher_text_proto, matcher_proto)
matcher_object = matcher_builder.build(matcher_proto)
self.assertTrue(isinstance(matcher_object, argmax_matcher.ArgMaxMatcher))
self.assertAlmostEqual(matcher_object._matched_threshold, 0.7)
self.assertAlmostEqual(matcher_object._unmatched_threshold, 0.3)
self.assertFalse(matcher_object._negatives_lower_than_unmatched)
self.assertTrue(matcher_object._force_match_for_each_row) 示例4: test_return_correct_matches_with_default_thresholds
# 需要导入模块: from object_detection.matchers import argmax_matcher [as 别名]
# 或者: from object_detection.matchers.argmax_matcher import ArgMaxMatcher [as 别名]
def test_return_correct_matches_with_default_thresholds(self):
def graph_fn(similarity_matrix):
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=None)
match = matcher.match(similarity_matrix)
matched_cols = match.matched_column_indicator()
unmatched_cols = match.unmatched_column_indicator()
match_results = match.match_results
return (matched_cols, unmatched_cols, match_results)
similarity = np.array([[1., 1, 1, 3, 1],
[2, -1, 2, 0, 4],
[3, 0, -1, 0, 0]], dtype=np.float32)
expected_matched_rows = np.array([2, 0, 1, 0, 1])
(res_matched_cols, res_unmatched_cols,
res_match_results) = self.execute(graph_fn, [similarity])
self.assertAllEqual(res_match_results[res_matched_cols],
expected_matched_rows)
self.assertAllEqual(np.nonzero(res_matched_cols)[0], [0, 1, 2, 3, 4])
self.assertFalse(np.all(res_unmatched_cols)) 示例5: test_return_correct_matches_with_matched_threshold
# 需要导入模块: from object_detection.matchers import argmax_matcher [as 别名]
# 或者: from object_detection.matchers.argmax_matcher import ArgMaxMatcher [as 别名]
def test_return_correct_matches_with_matched_threshold(self):
def graph_fn(similarity):
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=3.)
match = matcher.match(similarity)
matched_cols = match.matched_column_indicator()
unmatched_cols = match.unmatched_column_indicator()
match_results = match.match_results
return (matched_cols, unmatched_cols, match_results)
similarity = np.array([[1, 1, 1, 3, 1],
[2, -1, 2, 0, 4],
[3, 0, -1, 0, 0]], dtype=np.float32)
expected_matched_cols = np.array([0, 3, 4])
expected_matched_rows = np.array([2, 0, 1])
expected_unmatched_cols = np.array([1, 2])
(res_matched_cols, res_unmatched_cols,
match_results) = self.execute(graph_fn, [similarity])
self.assertAllEqual(match_results[res_matched_cols], expected_matched_rows)
self.assertAllEqual(np.nonzero(res_matched_cols)[0], expected_matched_cols)
self.assertAllEqual(np.nonzero(res_unmatched_cols)[0],
expected_unmatched_cols) 示例6: test_return_correct_matches_with_matched_and_unmatched_threshold
# 需要导入模块: from object_detection.matchers import argmax_matcher [as 别名]
# 或者: from object_detection.matchers.argmax_matcher import ArgMaxMatcher [as 别名]
def test_return_correct_matches_with_matched_and_unmatched_threshold(self):
def graph_fn(similarity):
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=3.,
unmatched_threshold=2.)
match = matcher.match(similarity)
matched_cols = match.matched_column_indicator()
unmatched_cols = match.unmatched_column_indicator()
match_results = match.match_results
return (matched_cols, unmatched_cols, match_results)
similarity = np.array([[1, 1, 1, 3, 1],
[2, -1, 2, 0, 4],
[3, 0, -1, 0, 0]], dtype=np.float32)
expected_matched_cols = np.array([0, 3, 4])
expected_matched_rows = np.array([2, 0, 1])
expected_unmatched_cols = np.array([1]) # col 2 has too high maximum val
(res_matched_cols, res_unmatched_cols,
match_results) = self.execute(graph_fn, [similarity])
self.assertAllEqual(match_results[res_matched_cols], expected_matched_rows)
self.assertAllEqual(np.nonzero(res_matched_cols)[0], expected_matched_cols)
self.assertAllEqual(np.nonzero(res_unmatched_cols)[0],
expected_unmatched_cols) 示例7: test_return_correct_matches_unmatched_row_while_using_force_match
# 需要导入模块: from object_detection.matchers import argmax_matcher [as 别名]
# 或者: from object_detection.matchers.argmax_matcher import ArgMaxMatcher [as 别名]
def test_return_correct_matches_unmatched_row_while_using_force_match(self):
def graph_fn(similarity):
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=3.,
unmatched_threshold=2.,
force_match_for_each_row=True)
match = matcher.match(similarity)
matched_cols = match.matched_column_indicator()
unmatched_cols = match.unmatched_column_indicator()
match_results = match.match_results
return (matched_cols, unmatched_cols, match_results)
similarity = np.array([[1, 1, 1, 3, 1],
[-1, 0, -2, -2, -1],
[3, 0, -1, 2, 0]], dtype=np.float32)
expected_matched_cols = np.array([0, 1, 3])
expected_matched_rows = np.array([2, 1, 0])
expected_unmatched_cols = np.array([2, 4]) # col 2 has too high max val
(res_matched_cols, res_unmatched_cols,
match_results) = self.execute(graph_fn, [similarity])
self.assertAllEqual(match_results[res_matched_cols], expected_matched_rows)
self.assertAllEqual(np.nonzero(res_matched_cols)[0], expected_matched_cols)
self.assertAllEqual(np.nonzero(res_unmatched_cols)[0],
expected_unmatched_cols) 示例8: test_build_arg_max_matcher_with_non_default_parameters
# 需要导入模块: from object_detection.matchers import argmax_matcher [as 别名]
# 或者: from object_detection.matchers.argmax_matcher import ArgMaxMatcher [as 别名]
def test_build_arg_max_matcher_with_non_default_parameters(self):
matcher_text_proto = """
argmax_matcher {
matched_threshold: 0.7
unmatched_threshold: 0.3
negatives_lower_than_unmatched: false
force_match_for_each_row: true
use_matmul_gather: true
}
"""
matcher_proto = matcher_pb2.Matcher()
text_format.Merge(matcher_text_proto, matcher_proto)
matcher_object = matcher_builder.build(matcher_proto)
self.assertTrue(isinstance(matcher_object, argmax_matcher.ArgMaxMatcher))
self.assertAlmostEqual(matcher_object._matched_threshold, 0.7)
self.assertAlmostEqual(matcher_object._unmatched_threshold, 0.3)
self.assertFalse(matcher_object._negatives_lower_than_unmatched)
self.assertTrue(matcher_object._force_match_for_each_row)
self.assertTrue(matcher_object._use_matmul_gather) 示例9: __init__
# 需要导入模块: from object_detection.matchers import argmax_matcher [as 别名]
# 或者: from object_detection.matchers.argmax_matcher import ArgMaxMatcher [as 别名]
def __init__(self):
similarity_calc = region_similarity_calculator.IouSimilarity()
matcher = argmax_matcher.ArgMaxMatcher(
matched_threshold=ssd_constants.MATCH_THRESHOLD,
unmatched_threshold=ssd_constants.MATCH_THRESHOLD,
negatives_lower_than_unmatched=True,
force_match_for_each_row=True)
box_coder = faster_rcnn_box_coder.FasterRcnnBoxCoder(
scale_factors=ssd_constants.BOX_CODER_SCALES)
self.default_boxes = DefaultBoxes()('ltrb')
self.default_boxes = box_list.BoxList(
tf.convert_to_tensor(self.default_boxes))
self.assigner = target_assigner.TargetAssigner(
similarity_calc, matcher, box_coder) 示例10: test_return_correct_matches_with_empty_rows
# 需要导入模块: from object_detection.matchers import argmax_matcher [as 别名]
# 或者: from object_detection.matchers.argmax_matcher import ArgMaxMatcher [as 别名]
def test_return_correct_matches_with_empty_rows(self):
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=None)
sim = 0.2*tf.ones([0, 5])
match = matcher.match(sim)
unmatched_cols = match.unmatched_column_indices()
with self.test_session() as sess:
res_unmatched_cols = sess.run(unmatched_cols)
self.assertAllEqual(res_unmatched_cols, np.arange(5)) 示例11: test_return_correct_matches_with_matched_threshold
# 需要导入模块: from object_detection.matchers import argmax_matcher [as 别名]
# 或者: from object_detection.matchers.argmax_matcher import ArgMaxMatcher [as 别名]
def test_return_correct_matches_with_matched_threshold(self):
similarity = np.array([[1, 1, 1, 3, 1],
[2, -1, 2, 0, 4],
[3, 0, -1, 0, 0]], dtype=np.int32)
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=3)
expected_matched_cols = np.array([0, 3, 4])
expected_matched_rows = np.array([2, 0, 1])
expected_unmatched_cols = np.array([1, 2])
sim = tf.constant(similarity)
match = matcher.match(sim)
matched_cols = match.matched_column_indices()
matched_rows = match.matched_row_indices()
unmatched_cols = match.unmatched_column_indices()
init_op = tf.global_variables_initializer()
with self.test_session() as sess:
sess.run(init_op)
res_matched_cols = sess.run(matched_cols)
res_matched_rows = sess.run(matched_rows)
res_unmatched_cols = sess.run(unmatched_cols)
self.assertAllEqual(res_matched_rows, expected_matched_rows)
self.assertAllEqual(res_matched_cols, expected_matched_cols)
self.assertAllEqual(res_unmatched_cols, expected_unmatched_cols) 示例12: test_return_correct_matches_negatives_lower_than_unmatched_false
# 需要导入模块: from object_detection.matchers import argmax_matcher [as 别名]
# 或者: from object_detection.matchers.argmax_matcher import ArgMaxMatcher [as 别名]
def test_return_correct_matches_negatives_lower_than_unmatched_false(self):
similarity = np.array([[1, 1, 1, 3, 1],
[2, -1, 2, 0, 4],
[3, 0, -1, 0, 0]], dtype=np.int32)
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=3,
unmatched_threshold=2,
negatives_lower_than_unmatched=False)
expected_matched_cols = np.array([0, 3, 4])
expected_matched_rows = np.array([2, 0, 1])
expected_unmatched_cols = np.array([2]) # col 1 has too low maximum val
sim = tf.constant(similarity)
match = matcher.match(sim)
matched_cols = match.matched_column_indices()
matched_rows = match.matched_row_indices()
unmatched_cols = match.unmatched_column_indices()
with self.test_session() as sess:
res_matched_cols = sess.run(matched_cols)
res_matched_rows = sess.run(matched_rows)
res_unmatched_cols = sess.run(unmatched_cols)
self.assertAllEqual(res_matched_rows, expected_matched_rows)
self.assertAllEqual(res_matched_cols, expected_matched_cols)
self.assertAllEqual(res_unmatched_cols, expected_unmatched_cols) 示例13: test_return_correct_matches_unmatched_row_while_using_force_match
# 需要导入模块: from object_detection.matchers import argmax_matcher [as 别名]
# 或者: from object_detection.matchers.argmax_matcher import ArgMaxMatcher [as 别名]
def test_return_correct_matches_unmatched_row_while_using_force_match(self):
similarity = np.array([[1, 1, 1, 3, 1],
[-1, 0, -2, -2, -1],
[3, 0, -1, 2, 0]], dtype=np.int32)
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=3,
unmatched_threshold=2,
force_match_for_each_row=True)
expected_matched_cols = np.array([0, 1, 3])
expected_matched_rows = np.array([2, 1, 0])
expected_unmatched_cols = np.array([2, 4]) # col 2 has too high max val
sim = tf.constant(similarity)
match = matcher.match(sim)
matched_cols = match.matched_column_indices()
matched_rows = match.matched_row_indices()
unmatched_cols = match.unmatched_column_indices()
with self.test_session() as sess:
res_matched_cols = sess.run(matched_cols)
res_matched_rows = sess.run(matched_rows)
res_unmatched_cols = sess.run(unmatched_cols)
self.assertAllEqual(res_matched_rows, expected_matched_rows)
self.assertAllEqual(res_matched_cols, expected_matched_cols)
self.assertAllEqual(res_unmatched_cols, expected_unmatched_cols) 示例14: test_valid_arguments_corner_case
# 需要导入模块: from object_detection.matchers import argmax_matcher [as 别名]
# 或者: from object_detection.matchers.argmax_matcher import ArgMaxMatcher [as 别名]
def test_valid_arguments_corner_case(self):
argmax_matcher.ArgMaxMatcher(matched_threshold=1,
unmatched_threshold=1) 示例15: test_invalid_arguments_corner_case_negatives_lower_than_thres_false
# 需要导入模块: from object_detection.matchers import argmax_matcher [as 别名]
# 或者: from object_detection.matchers.argmax_matcher import ArgMaxMatcher [as 别名]
def test_invalid_arguments_corner_case_negatives_lower_than_thres_false(self):
with self.assertRaises(ValueError):
argmax_matcher.ArgMaxMatcher(matched_threshold=1,
unmatched_threshold=1,
negatives_lower_than_unmatched=False)