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20 lines
1.6 KiB
Python
20 lines
1.6 KiB
Python
### Copyright (C) 2017 NVIDIA Corporation. All rights reserved.
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### Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).
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from .base_options import BaseOptions
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class TestOptions(BaseOptions):
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def initialize(self):
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BaseOptions.initialize(self)
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self.parser.add_argument('--ntest', type=int, default=float("inf"), help='# of test examples.')
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self.parser.add_argument('--results_dir', type=str, default='./results/', help='saves results here.')
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self.parser.add_argument('--aspect_ratio', type=float, default=1.0, help='aspect ratio of result images')
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self.parser.add_argument('--phase', type=str, default='test', help='train, val, test, etc')
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self.parser.add_argument('--which_epoch', type=str, default='latest', help='which epoch to load? set to latest to use latest cached model')
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self.parser.add_argument('--how_many', type=int, default=1000, help='how many test images to run')
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self.parser.add_argument('--cluster_path', type=str, default='features_clustered_010.npy', help='the path for clustered results of encoded features')
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self.parser.add_argument('--use_encoded_image', action='store_true', help='if specified, encode the real image to get the feature map')
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self.parser.add_argument("--export_onnx", type=str, help="export ONNX model to a given file")
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self.parser.add_argument("--engine", type=str, help="run serialized TRT engine")
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self.parser.add_argument("--onnx", type=str, help="run ONNX model via TRT")
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self.isTrain = False
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