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55 lines
1.8 KiB
55 lines
1.8 KiB
2 years ago
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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import paddlers
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from rs_models.test_model import TestModel
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class TestSegModel(TestModel):
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DEFAULT_HW = (512, 512)
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def check_output(self, output, target):
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self.assertIsInstance(output, list)
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self.check_output_equal(len(output), len(target))
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for o, t in zip(output, target):
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o = o.numpy()
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self.check_output_equal(o.shape[0], t.shape[0])
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self.check_output_equal(len(o.shape), 4)
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self.check_output_equal(o.shape[2:], t.shape[2:])
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def set_inputs(self):
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def _gen_data(specs):
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for spec in specs:
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c = spec.get('in_channels', 3)
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yield self.get_randn_tensor(c)
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self.inputs = _gen_data(self.specs)
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def set_targets(self):
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def _gen_data(specs):
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for spec in specs:
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c = spec.get('num_classes', 2)
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yield [self.get_zeros_array(c)]
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self.targets = _gen_data(self.specs)
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class TestFarSegModel(TestSegModel):
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MODEL_CLASS = paddlers.custom_models.seg.FarSeg
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def set_specs(self):
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self.specs = [
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dict(), dict(num_classes=20), dict(encoder_pretrained=False)
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]
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