50 lines
1.7 KiB
50 lines
1.7 KiB
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
import unittest
|
|
|
|
import paddle.fluid as fluid
|
|
from paddle.fluid.framework import Program, program_guard
|
|
|
|
|
|
class TestMetricsDetectionMap(unittest.TestCase):
|
|
def test_detection_map(self):
|
|
program = fluid.Program()
|
|
with program_guard(program):
|
|
detect_res = fluid.layers.data(
|
|
name='detect_res',
|
|
shape=[10, 6],
|
|
append_batch_size=False,
|
|
dtype='float32')
|
|
label = fluid.layers.data(
|
|
name='label',
|
|
shape=[10, 1],
|
|
append_batch_size=False,
|
|
dtype='float32')
|
|
box = fluid.layers.data(
|
|
name='bbox',
|
|
shape=[10, 4],
|
|
append_batch_size=False,
|
|
dtype='float32')
|
|
map_eval = fluid.metrics.DetectionMAP(
|
|
detect_res, label, box, class_num=21)
|
|
cur_map, accm_map = map_eval.get_map_var()
|
|
self.assertIsNotNone(cur_map)
|
|
self.assertIsNotNone(accm_map)
|
|
print(str(program))
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|