model-optimizer/extensions/front/caffe/proposal_python_ext_test.py

   1 """
   2  Copyright (c) 2018-2019 Intel Corporation
   3
   4  Licensed under the Apache License, Version 2.0 (the "License");
   5  you may not use this file except in compliance with the License.
   6  You may obtain a copy of the License at
   7
   8       http://www.apache.org/licenses/LICENSE-2.0
   9
  10  Unless required by applicable law or agreed to in writing, software
  11  distributed under the License is distributed on an "AS IS" BASIS,
  12  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13  See the License for the specific language governing permissions and
  14  limitations under the License.
  15 """
  16
  17 import unittest
  18 from unittest.mock import patch
  19
  20 from extensions.front.caffe.proposal_python_ext import ProposalPythonFrontExtractor
  21 from extensions.ops.proposal import ProposalOp
  22 from mo.utils.unittest.extractors import FakeMultiParam
  23 from mo.utils.unittest.graph import FakeNode
  24 from mo.ops.op import Op
  25
  26
  27 class FakeProposalPythonProtoLayer:
  28     def __init__(self, val):
  29         self.python_param = val
  30
  31
  32 class TestProposalPythonExt(unittest.TestCase):
  33     @classmethod
  34     def setUpClass(cls):
  35         Op.registered_ops['Proposal'] = ProposalOp
  36
  37     def test_proposal_no_pb_no_ml(self):
  38         self.assertRaises(AttributeError, ProposalPythonFrontExtractor.extract, None)
  39
  40     @patch('mo.front.caffe.extractors.utils.merge_attrs')
  41     def test_proposal_ext_ideal_numbers(self, merge_attrs):
  42         params = {
  43             'param_str': "'feat_stride': 16"
  44         }
  45         merge_attrs.return_value = params
  46
  47         fake_pl = FakeProposalPythonProtoLayer(FakeMultiParam(params))
  48         fake_node = FakeNode(fake_pl, None)
  49
  50         ProposalPythonFrontExtractor.extract(fake_node)
  51
  52         exp_res = {
  53             'type': "Proposal",
  54             'feat_stride': 16,
  55             'base_size': 16,
  56             'min_size': 16,
  57             'ratio': [0.5, 1, 2],
  58             'scale': [8, 16, 32],
  59             'pre_nms_topn': 6000,
  60             'post_nms_topn': 300,
  61             'nms_thresh': 0.7,
  62             'infer': ProposalOp.proposal_infer
  63         }
  64
  65         for key in exp_res.keys():
  66             self.assertEqual(fake_node[key], exp_res[key])
  67
  68     @patch('mo.front.caffe.extractors.utils.merge_attrs')
  69     def test_proposal_ext_scales(self, merge_attrs):
  70         params = {
  71             'param_str': "'feat_stride': 16, 'scales': [1,2,3], 'ratios':[5, 6,7]"
  72         }
  73         merge_attrs.return_value = params
  74
  75         fake_pl = FakeProposalPythonProtoLayer(FakeMultiParam(params))
  76         fake_node = FakeNode(fake_pl, None)
  77
  78         ProposalPythonFrontExtractor.extract(fake_node)
  79
  80         exp_res = {
  81             'type': "Proposal",
  82             'feat_stride': 16,
  83             'base_size': 16,
  84             'min_size': 16,
  85             'ratio': [5, 6, 7],
  86             'scale': [1, 2, 3],
  87             'pre_nms_topn': 6000,
  88             'post_nms_topn': 300,
  89             'nms_thresh': 0.7,
  90             'infer': ProposalOp.proposal_infer
  91         }
  92
  93         for key in exp_res.keys():
  94             self.assertEqual(fake_node[key], exp_res[key])
  95
  96     @patch('mo.front.caffe.extractors.utils.merge_attrs')
  97     def test_proposal_ext_scale(self, merge_attrs):
  98         params = {
  99             'param_str': "'feat_stride': 16, 'scale': [1,2,3], 'ratio':[5, 6,7]"
 100         }
 101         merge_attrs.return_value = params
 102
 103         fake_pl = FakeProposalPythonProtoLayer(FakeMultiParam(params))
 104         fake_node = FakeNode(fake_pl, None)
 105
 106         ProposalPythonFrontExtractor.extract(fake_node)
 107
 108         exp_res = {
 109             'type': "Proposal",
 110             'feat_stride': 16,
 111             'base_size': 16,
 112             'min_size': 16,
 113             'ratio': [5, 6, 7],
 114             'scale': [1, 2, 3],
 115             'pre_nms_topn': 6000,
 116             'post_nms_topn': 300,
 117             'nms_thresh': 0.7,
 118             'infer': ProposalOp.proposal_infer
 119         }
 120
 121         for key in exp_res.keys():
 122             self.assertEqual(fake_node[key], exp_res[key])