eval_pck -> calc_pck

chainer · Jun 14, 2017 · c260506 · c260506
1 parent aad4f55
commit c260506
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Showing 4 changed files with 9 additions and 9 deletions.
diff --git a/chainercv/evaluations/__init__.py b/chainercv/evaluations/__init__.py
@@ -1,7 +1,7 @@
 from chainercv.evaluations.eval_detection_voc_ap import calc_detection_voc_ap  # NOQA
 from chainercv.evaluations.eval_detection_voc_ap import calc_detection_voc_prec_rec  # NOQA
 from chainercv.evaluations.eval_detection_voc_ap import eval_detection_voc_ap  # NOQA
-from chainercv.evaluations.eval_pck import eval_pck  # NOQA
+from chainercv.evaluations.calc_pck import calc_pck  # NOQA
 from chainercv.evaluations.eval_semantic_segmentation_iou import calc_semantic_segmentation_confusion  # NOQA
 from chainercv.evaluations.eval_semantic_segmentation_iou import calc_semantic_segmentation_iou  # NOQA
 from chainercv.evaluations.eval_semantic_segmentation_iou import eval_semantic_segmentation_iou  # NOQA
diff --git a/chainercv/evaluations/eval_pck.py → chainercv/evaluations/calc_pck.py b/chainercv/evaluations/eval_pck.py → chainercv/evaluations/calc_pck.py
@@ -1,7 +1,7 @@
 import numpy as np
 
 
-def eval_pck(pred, expected, alpha, L):
+def calc_pck(pred, expected, alpha, L):
     """Calculate PCK (Percentage of Correct Keypoints).
 
     This function calculates number of vertices whose positions are correctly

diff --git a/docs/source/reference/evaluations.rst b/docs/source/reference/evaluations.rst
@@ -23,9 +23,9 @@ calc_detection_voc_prec_rec
 PCK
 ---
 
-eval_pck
+calc_pck
 ~~~~~~~~
-.. autofunction:: eval_pck
+.. autofunction:: calc_pck
 
 
 Semantic Segmentation IoU

diff --git a/tests/evaluations_tests/test_eval_pck.py → tests/evaluations_tests/test_calc_pck.py b/tests/evaluations_tests/test_eval_pck.py → tests/evaluations_tests/test_calc_pck.py
@@ -4,19 +4,19 @@
 
 from chainer import testing
 
-from chainercv.evaluations import eval_pck
+from chainercv.evaluations import calc_pck
 
 
-class TestEvalPCK(unittest.TestCase):
+class TestCalcPCK(unittest.TestCase):
 
-    def test_eval_pck(self):
+    def test_calc_pck(self):
         pred = np.array([[0, 0], [1, 1]], dtype=np.int32)
         expected = np.array([[0, 0], [1, 2]], dtype=np.int32)
 
-        pck_pred = eval_pck(pred, expected, alpha=1., L=2.)
+        pck_pred = calc_pck(pred, expected, alpha=1., L=2.)
         self.assertAlmostEqual(pck_pred, 1.)
 
-        pck_pred = eval_pck(pred, expected, alpha=0.25, L=2.)
+        pck_pred = calc_pck(pred, expected, alpha=0.25, L=2.)
         self.assertAlmostEqual(pck_pred, 0.5)