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35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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from easycv.predictors.builder import build_predictor
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from easycv.utils.config_tools import mmcv_config_fromfile
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class HydraAttentionTest(unittest.TestCase):
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def setUp(self):
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print(('Testing %s.%s' % (type(self).__name__, self._testMethodName)))
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def test_hydraAttention(self):
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checkpoint = 'http://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/EasyCV/modelzoo/classification/hydra_attention/deit_base_patch16_224%20(Hydra%20Attention%20%5B12%20layers%5D).pth'
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config_file = 'configs/classification/imagenet/deit/imagenet_deit_base_hydra_layer12_patch16_224_jpg.py'
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img_path = 'https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/data/demo/imagenet_demo.JPEG'
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cfg = mmcv_config_fromfile(config_file)
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predict_op = build_predictor(
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dict(
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**cfg.predict,
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model_path=checkpoint,
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config_file=config_file,
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label_map_path=None,
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pil_input=False))
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results = predict_op([img_path])[0]
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self.assertIn('class', results)
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self.assertEqual(len(results['class']), 1)
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self.assertEqual(int(results['class'][0]), 234)
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if __name__ == '__main__':
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unittest.main()
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