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RefineDNet/options/test_options.py

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+from .base_options import BaseOptions
+
+
+class TestOptions(BaseOptions):
+    """This class includes test options.
+
+    It also includes shared options defined in BaseOptions.
+    """
+
+    def initialize(self, parser):
+        parser = BaseOptions.initialize(self, parser)  # define shared options
+        parser.add_argument('--ntest', type=int, default=float("inf"), help='# of test examples.')
+        parser.add_argument('--results_dir', type=str, default='./results/', help='saves results here.')
+        parser.add_argument('--aspect_ratio', type=float, default=1.0, help='aspect ratio of result images')
+        parser.add_argument('--phase', type=str, default='test', help='train, val, test, etc')
+        # Dropout and Batchnorm has different behavioir during training and test.
+        parser.add_argument('--eval', action='store_true', help='use eval mode during test time.')
+        parser.add_argument('--num_test', type=int, default=50, help='how many test images to run')
+        
+        parser.add_argument('--save_image', action='store_true', help='save result images.')
+        parser.add_argument('--method_name', type=str, default='Mine', help='short name for your dehazing method')
+        # rewrite devalue values
+        parser.set_defaults(model='test')
+        # To avoid cropping, the load_size should be the same as crop_size
+        parser.set_defaults(load_size=parser.get_default('crop_size'))
+        self.isTrain = False
+        return parser