Added config option to test only pre-trained version of SSD
Signed-off-by: Jim Martens <github@2martens.de>
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@ -265,12 +265,13 @@ def _ssd_test(args: argparse.Namespace) -> None:
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batch_size, image_size, learning_rate, \
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forward_passes_per_image, nr_classes, iou_threshold, dropout_rate, \
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use_entropy_threshold, entropy_threshold_min, entropy_threshold_max, \
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top_k, nr_trajectories, \
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top_k, nr_trajectories, test_pretrained, \
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coco_path, output_path, weights_path, ground_truth_path = _ssd_test_get_config_values(args, conf.get_property)
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use_dropout = _ssd_is_dropout(args)
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output_path, checkpoint_path, weights_file = _ssd_test_prepare_paths(args, output_path, weights_path)
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output_path, checkpoint_path, weights_file = _ssd_test_prepare_paths(args, output_path,
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weights_path, test_pretrained)
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file_names, instances = _ssd_test_load_gt(ground_truth_path)
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@ -508,7 +509,7 @@ def _ssd_test_get_config_values(args: argparse.Namespace,
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config_get: Callable[[str], Union[str, float, int, bool]]
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) -> Tuple[int, int, float, int, int, float, float,
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bool, float, float,
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int, int,
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int, int, bool,
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str, str, str, str]:
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batch_size = config_get("Parameters.batch_size")
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@ -523,6 +524,7 @@ def _ssd_test_get_config_values(args: argparse.Namespace,
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entropy_threshold_max = config_get("Parameters.ssd_entropy_threshold_max")
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top_k = config_get("Parameters.ssd_top_k")
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nr_trajectories = config_get("Parameters.nr_trajectories")
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test_pretrained = config_get("Parameters.ssd_test_pretrained")
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coco_path = config_get("Paths.coco")
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output_path = config_get("Paths.output")
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@ -547,6 +549,7 @@ def _ssd_test_get_config_values(args: argparse.Namespace,
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#
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top_k,
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nr_trajectories,
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test_pretrained,
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#
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coco_path,
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output_path,
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@ -598,12 +601,16 @@ def _ssd_train_prepare_paths(args: argparse.Namespace,
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def _ssd_test_prepare_paths(args: argparse.Namespace,
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output_path: str, weights_path: str) -> Tuple[str, str, str]:
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output_path: str, weights_path: str,
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test_pretrained: bool) -> Tuple[str, str, str]:
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import os
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output_path = f"{output_path}/{args.network}/test/{args.iteration}/"
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checkpoint_path = f"{weights_path}/{args.network}/train/{args.train_iteration}"
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weights_file = f"{checkpoint_path}/ssd300_weights.h5"
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if test_pretrained:
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weights_file = f"{weights_path}/{args.network}/VGG_coco_SSD_300x300_iter_400000.h5"
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else:
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weights_file = f"{checkpoint_path}/ssd300_weights.h5"
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os.makedirs(output_path, exist_ok=True)
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@ -62,6 +62,7 @@ _CONFIG_PROPS = {
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"ssd_use_entropy_threshold": (bool, False),
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"ssd_entropy_threshold_min": (float, "0.1"),
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"ssd_entropy_threshold_max": (float, "2.5"),
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"ssd_test_pretrained": (bool, False),
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"nr_trajectories": (int, "-1")
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}
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}
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