imagenet3d.py 文件源码

def __init__(self, image_set, imagenet3d_path=None):
        datasets.imdb.__init__(self, 'imagenet3d_' + image_set)
        self._image_set = image_set
        self._imagenet3d_path = self._get_default_path() if imagenet3d_path is None \
                            else imagenet3d_path
        self._data_path = os.path.join(self._imagenet3d_path, 'Images')
        self._classes = ('__background__', 'aeroplane', 'ashtray', 'backpack', 'basket', \
             'bed', 'bench', 'bicycle', 'blackboard', 'boat', 'bookshelf', 'bottle', 'bucket', \
             'bus', 'cabinet', 'calculator', 'camera', 'can', 'cap', 'car', 'cellphone', 'chair', \
             'clock', 'coffee_maker', 'comb', 'computer', 'cup', 'desk_lamp', 'diningtable', \
             'dishwasher', 'door', 'eraser', 'eyeglasses', 'fan', 'faucet', 'filing_cabinet', \
             'fire_extinguisher', 'fish_tank', 'flashlight', 'fork', 'guitar', 'hair_dryer', \
             'hammer', 'headphone', 'helmet', 'iron', 'jar', 'kettle', 'key', 'keyboard', 'knife', \
             'laptop', 'lighter', 'mailbox', 'microphone', 'microwave', 'motorbike', 'mouse', \
             'paintbrush', 'pan', 'pen', 'pencil', 'piano', 'pillow', 'plate', 'pot', 'printer', \
             'racket', 'refrigerator', 'remote_control', 'rifle', 'road_pole', 'satellite_dish', \
             'scissors', 'screwdriver', 'shoe', 'shovel', 'sign', 'skate', 'skateboard', 'slipper', \
             'sofa', 'speaker', 'spoon', 'stapler', 'stove', 'suitcase', 'teapot', 'telephone', \
             'toaster', 'toilet', 'toothbrush', 'train', 'trash_bin', 'trophy', 'tub', 'tvmonitor', \
             'vending_machine', 'washing_machine', 'watch', 'wheelchair')
        self._class_to_ind = dict(zip(self.classes, xrange(self.num_classes)))
        self._image_ext = '.JPEG'
        self._image_index = self._load_image_set_index()
        # Default to roidb handler
        if cfg.IS_RPN:
            self._roidb_handler = self.gt_roidb
        else:
            self._roidb_handler = self.region_proposal_roidb

        self.config = {'top_k': 100000}

        # statistics for computing recall
        self._num_boxes_all = np.zeros(self.num_classes, dtype=np.int)
        self._num_boxes_covered = np.zeros(self.num_classes, dtype=np.int)
        self._num_boxes_proposal = 0

        assert os.path.exists(self._imagenet3d_path), \
                'imagenet3d path does not exist: {}'.format(self._imagenet3d_path)
        assert os.path.exists(self._data_path), \
                'Path does not exist: {}'.format(self._data_path)