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In pascal_voc.py class pascal_voc(imdb): def __init__(self, image_set, year, devkit_path=None): imdb.__init__(self, 'voc_' + year + '_' + image_set) self._year = year self._image_set = image_set self._devkit_path = self._get_default_path() if devkit_path is None \ else devkit_path self._data_path = os.path.join(self._devkit_path, 'VOC' + self._year) #first split if cfg.TRAIN.META_TYPE == 1: self._classes = ['__background__'] + cfg.TRAIN.ALLCLASSES_FIRST #second split if cfg.TRAIN.META_TYPE == 2: self._classes = ['__background__'] + cfg.TRAIN.ALLCLASSES_SECOND #third split if cfg.TRAIN.META_TYPE == 3: self._classes = ['__background__'] + cfg.TRAIN.ALLCLASSES_THIRD
class pascal_voc(imdb): def __init__(self, image_set, year, devkit_path=None): imdb.__init__(self, 'voc_' + year + '_' + image_set) self._year = year self._image_set = image_set self._devkit_path = self._get_default_path() if devkit_path is None \ else devkit_path self._data_path = os.path.join(self._devkit_path, 'VOC' + self._year) #first split if cfg.TRAIN.META_TYPE == 1: self._classes = ['__background__'] + cfg.TRAIN.ALLCLASSES_FIRST #second split if cfg.TRAIN.META_TYPE == 2: self._classes = ['__background__'] + cfg.TRAIN.ALLCLASSES_SECOND #third split if cfg.TRAIN.META_TYPE == 3: self._classes = ['__background__'] + cfg.TRAIN.ALLCLASSES_THIRD
you always use ALLCLASSES, and dosenot filter class in phase 1, so you use base+novel class for training RPN of FasterRCNN?
The text was updated successfully, but these errors were encountered:
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In pascal_voc.py
class pascal_voc(imdb): def __init__(self, image_set, year, devkit_path=None): imdb.__init__(self, 'voc_' + year + '_' + image_set) self._year = year self._image_set = image_set self._devkit_path = self._get_default_path() if devkit_path is None \ else devkit_path self._data_path = os.path.join(self._devkit_path, 'VOC' + self._year) #first split if cfg.TRAIN.META_TYPE == 1: self._classes = ['__background__'] + cfg.TRAIN.ALLCLASSES_FIRST #second split if cfg.TRAIN.META_TYPE == 2: self._classes = ['__background__'] + cfg.TRAIN.ALLCLASSES_SECOND #third split if cfg.TRAIN.META_TYPE == 3: self._classes = ['__background__'] + cfg.TRAIN.ALLCLASSES_THIRD
you always use ALLCLASSES, and dosenot filter class in phase 1, so you use base+novel class for training RPN of FasterRCNN?
The text was updated successfully, but these errors were encountered: