def get_test_roidb(imdb_test): """Returns a roidb (Region of Interest database) for use in test.""" print('Preparing test data...') if cfg.TRAIN.HAS_RPN: rdl_roidb.prepare_roidb(imdb_test) else: rdl_roidb.prepare_roidb(imdb_test) print('done') return imdb_test.roidb
def get_training_roidb(imdb): """Returns a roidb (Region of Interest database) for use in training.""" if cfg.TRAIN.USE_FLIPPED: print('Appending horizontally-flipped training examples...') imdb.append_flipped_images() print('done') print('Preparing training data...') rdl_roidb.prepare_roidb(imdb) print('done') return imdb.roidb
def get_training_roidb(imdb): """Returns a roidb (Region of Interest database) for use in training.""" if cfg.TRAIN.USE_FLIPPED: print('Appending horizontally-flipped training examples...') imdb.append_flipped_images() print('done') print('Preparing training data...') if cfg.TRAIN.HAS_RPN: rdl_roidb.prepare_roidb(imdb) else: rdl_roidb.prepare_roidb(imdb) print('done') return imdb.roidb
def get_training_roidb(imdb): """Returns a roidb (Region of Interest database) for use in training.""" if cfg.TRAIN.USE_FLIPPED: print 'Appending horizontally-flipped training examples...' imdb.append_flipped_images() print 'done' print 'Preparing training data...' if cfg.TRAIN.HAS_RPN: if cfg.IS_MULTISCALE: gdl_roidb.prepare_roidb(imdb) else: rdl_roidb.prepare_roidb(imdb) else: rdl_roidb.prepare_roidb(imdb) print 'done' return imdb.roidb
def get_training_roidb(imdb): """Returns a roidb (Region of Interest database) for use in training.""" print("数据增强之前") print(len(imdb.roidb)) if cfg.TRAIN.USE_FLIPPED: print('Appending horizontally-flipped training examples...' ) #这个函数扩增数据集 在imdb 基础上进一步封装 imdb.append_flipped_images() print('done') print("数据增强之后") #数据增强通过 print(len(imdb.roidb)) print('Preparing training data...') rdl_roidb.prepare_roidb(imdb) #print((imdb.roidb[5523]['image'])) 测试为啥没有image 路径 print('done') return imdb.roidb
def get_training_roidb(imdb): """Returns a roidb (Region of Interest database) for use in training.""" if cfg.ZLRM.TRAIN.USE_FLIPPED: print('Appending horizontally-flipped training examples...') imdb.append_flipped_images() print('done') print('Preparing training data...') if cfg.ZLRM.TRAIN.HAS_RPN: if cfg.ZLRM.IS_MULTISCALE: # TODO: fix multiscale training (single scale is already a good trade-off) print('#### warning: multi-scale has not been tested.') print( '#### warning: using single scale by setting IS_MULTISCALE: False.' ) gdl_roidb.prepare_roidb(imdb) else: rdl_roidb.prepare_roidb(imdb) else: rdl_roidb.prepare_roidb(imdb) print('done') return imdb.roidb