예제 #1
0
    def __init__(self, **kwargs):
        # get target assigner & box_coder configs.
        assigner_cfg = kwargs["cfg"]
        target_assigner_config = assigner_cfg.target_assigner
        self.tasks = target_assigner_config.tasks  # num_class=1, class_names=["Car"]
        box_coder_cfg = assigner_cfg.box_coder  # "ground_box3d_coder"

        # get anchor_generator
        anchor_cfg = target_assigner_config.anchor_generators  # anchor_generator_range
        anchor_generators = []
        for a_cfg in anchor_cfg:
            anchor_generator = build_anchor_generator(a_cfg)
            anchor_generators.append(anchor_generator)

        # my addition
        self.target_class_names = [
            anchor_generator.class_name
            for anchor_generator in anchor_generators
        ]
        self.target_class_ids = [1]  # for car id
        self.enable_similar_type = assigner_cfg.get("enable_similar_type",
                                                    False)
        if self.enable_similar_type:
            self.target_class_ids = [
                1, 2
            ]  # for car id  # todo: addition of similar type

        # get target_assigner
        target_assigners = []
        similarity_calc = build_similarity_metric(
            target_assigner_config.region_similarity_calculator)  # nearest iou
        positive_fraction = target_assigner_config.sample_positive_fraction  # -1
        if positive_fraction < 0:
            positive_fraction = None
        flag = 0
        for task in self.tasks:  # { num_class=1, class_names=["Car"] }
            target_assigner = TargetAssigner(
                box_coder=build_box_coder(
                    box_coder_cfg),  # "ground_box3d_coder"
                anchor_generators=anchor_generators[flag:flag +
                                                    task.num_class],
                region_similarity_calculator=similarity_calc,  # nearest iou
                positive_fraction=positive_fraction,  # None
                sample_size=target_assigner_config.sample_size,  # 512
            )
            flag += task.num_class  # 1
            target_assigners.append(target_assigner)

        # results
        self.target_assigners = target_assigners
        self.out_size_factor = assigner_cfg.out_size_factor  # 8
        feature_map_size = [1, 200, 176]
        self.anchor_dicts_by_task = [
            assigner.generate_anchors_dict(feature_map_size)
            for assigner in self.target_assigners
        ]
예제 #2
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    def __init__(self, **kwargs):
        # get configs
        assigner_cfg = kwargs["cfg"]
        target_assigner_config = assigner_cfg.target_assigner
        tasks = target_assigner_config.tasks  # num_class=1, class_names=["Car"]
        box_coder_cfg = assigner_cfg.box_coder  # type="ground_box3d_coder", n_dim=7, linear_dim=False, encode_angle_vector=False,

        # get anchor_generator
        anchor_cfg = target_assigner_config.anchor_generators
        anchor_generators = []
        for a_cfg in anchor_cfg:
            anchor_generator = build_anchor_generator(a_cfg)
            anchor_generators.append(anchor_generator)

        ############# prepare configs and get target_assigner  #############
        # non-rotated iou
        similarity_calc = build_similarity_metric(
            target_assigner_config.region_similarity_calculator)

        positive_fraction = target_assigner_config.sample_positive_fraction  # -1
        if positive_fraction < 0:
            positive_fraction = None

        target_assigners = []
        flag = 0
        box_coder = build_box_coder(box_coder_cfg)

        for task in tasks:  # { num_class=1, class_names=["Car"] }
            target_assigner = TargetAssigner(
                box_coder=box_coder,
                anchor_generators=anchor_generators[flag:flag +
                                                    task.num_class],
                region_similarity_calculator=similarity_calc,
                positive_fraction=positive_fraction,  # None
                sample_size=target_assigner_config.sample_size,  # 512
            )
            flag += task.num_class  # 1
            target_assigners.append(target_assigner)

        # results
        self.target_assigners = target_assigners
        self.out_size_factor = assigner_cfg.out_size_factor
        self.anchor_area_threshold = target_assigner_config.pos_area_threshold  # -1
예제 #3
0
    def __init__(self, **kwargs):
        assigner_cfg = kwargs["cfg"]
        target_assigner_config = assigner_cfg.target_assigner
        tasks = target_assigner_config.tasks
        box_coder_cfg = assigner_cfg.box_coder

        anchor_cfg = target_assigner_config.anchor_generators
        anchor_generators = []
        for a_cfg in anchor_cfg:
            anchor_generator = build_anchor_generator(a_cfg)
            anchor_generators.append(anchor_generator)
        similarity_calc = build_similarity_metric(
            target_assigner_config.region_similarity_calculator)
        positive_fraction = target_assigner_config.sample_positive_fraction
        if positive_fraction < 0:
            positive_fraction = None
        target_assigners = []
        flag = 0

        box_coder = build_box_coder(box_coder_cfg)

        for task in tasks:
            target_assigner = TargetAssigner(
                box_coder=box_coder,
                anchor_generators=anchor_generators[flag:flag +
                                                    task.num_class],
                region_similarity_calculator=similarity_calc,
                positive_fraction=positive_fraction,
                sample_size=target_assigner_config.sample_size,
            )
            flag += task.num_class
            target_assigners.append(target_assigner)

        self.target_assigners = target_assigners
        self.out_size_factor = assigner_cfg.out_size_factor
        self.anchor_area_threshold = target_assigner_config.pos_area_threshold