TypeError: 'list' object is not callable

[XingLiuJia]

/home/scw4750/anaconda3/envs/pyt0.4/bin/python /media/scw4750/个人文件/liujiajia/fpn.pytorch-master/trainval_net.py Called with args: Namespace(batch_size=1, checkepoch=1, checkpoint=0, checkpoint_interval=10000, checksession=1, class_agnostic=False, cuda='True', dataset='pascal_voc', disp_interval=100, lr=0.001, lr_decay_gamma=0.1, lr_decay_step=5, lscale=False, mGPUs='2', max_epochs=20, net='res101', num_workers=0, optimizer='sgd', resume=False, save_dir='/liujiajia/models', session=1, start_epoch=1, use_tfboard=False) Using config: {'ANCHOR_RATIOS': [0.5, 1, 2], 'ANCHOR_SCALES': [8, 16, 32], 'CROP_RESIZE_WITH_MAX_POOL': False, 'CUDA': False, 'DATA_DIR': '/media/scw4750/个人文件/liujiajia/fpn.pytorch-master/data', 'DEDUP_BOXES': 0.0625, 'EPS': 1e-14, 'EXP_DIR': 'res101', 'FEAT_STRIDE': [16], 'FPN_ANCHOR_SCALES': [32, 64, 128, 256, 512], 'FPN_ANCHOR_STRIDE': 1, 'FPN_FEAT_STRIDES': [4, 8, 16, 32, 64], 'GPU_ID': '0,1', 'HAS_MASK': True, 'MATLAB': 'matlab', 'MAX_NUM_GT_BOXES': 20, 'MOBILENET': {'DEPTH_MULTIPLIER': 1.0, 'FIXED_LAYERS': 5, 'REGU_DEPTH': False, 'WEIGHT_DECAY': 4e-05}, 'PIXEL_MEANS': array([[[102.9801, 115.9465, 122.7717]]]), 'POOLING_MODE': 'align', 'POOLING_SIZE': 7, 'RESNET': {'FIXED_BLOCKS': 1, 'MAX_POOL': False}, 'RNG_SEED': 3, 'ROOT_DIR': '/media/scw4750/个人文件/liujiajia/fpn.pytorch-master', 'TEST': {'BBOX_REG': True, 'HAS_RPN': True, 'MAX_SIZE': 1000, 'MODE': 'nms', 'NMS': 0.3, 'PROPOSAL_METHOD': 'gt', 'RPN_MIN_SIZE': 16, 'RPN_NMS_THRESH': 0.7, 'RPN_POST_NMS_TOP_N': 300, 'RPN_PRE_NMS_TOP_N': 6000, 'RPN_TOP_N': 5000, 'SCALES': [600], 'SVM': False}, 'TRAIN': {'ASPECT_GROUPING': False, 'BATCH_SIZE': 128, 'BBOX_INSIDE_WEIGHTS': [1.0, 1.0, 1.0, 1.0], 'BBOX_NORMALIZE_MEANS': [0.0, 0.0, 0.0, 0.0], 'BBOX_NORMALIZE_STDS': [0.1, 0.1, 0.2, 0.2], 'BBOX_NORMALIZE_TARGETS': True, 'BBOX_NORMALIZE_TARGETS_PRECOMPUTED': True, 'BBOX_REG': True, 'BBOX_THRESH': 0.5, 'BG_THRESH_HI': 0.5, 'BG_THRESH_LO': 0.0, 'BIAS_DECAY': False, 'BN_TRAIN': False, 'DISPLAY': 20, 'DOUBLE_BIAS': False, 'FG_FRACTION': 0.25, 'FG_THRESH': 0.5, 'GAMMA': 0.1, 'HAS_RPN': True, 'IMS_PER_BATCH': 1, 'LEARNING_RATE': 0.001, 'MAX_SIZE': 1000, 'MOMENTUM': 0.9, 'PROPOSAL_METHOD': 'gt', 'RPN_BATCHSIZE': 256, 'RPN_BBOX_INSIDE_WEIGHTS': [1.0, 1.0, 1.0, 1.0], 'RPN_CLOBBER_POSITIVES': False, 'RPN_FG_FRACTION': 0.5, 'RPN_MIN_SIZE': 8, 'RPN_NEGATIVE_OVERLAP': 0.3, 'RPN_NMS_THRESH': 0.7, 'RPN_POSITIVE_OVERLAP': 0.7, 'RPN_POSITIVE_WEIGHT': -1.0, 'RPN_POST_NMS_TOP_N': 2000, 'RPN_PRE_NMS_TOP_N': 12000, 'SCALES': [600], 'SNAPSHOT_ITERS': 5000, 'SNAPSHOT_KEPT': 3, 'SNAPSHOT_PREFIX': 'res101_faster_rcnn', 'STEPSIZE': [30000], 'SUMMARY_INTERVAL': 180, 'TRIM_HEIGHT': 600, 'TRIM_WIDTH': 600, 'TRUNCATED': False, 'USE_ALL_GT': True, 'USE_FLIPPED': True, 'USE_GT': False, 'WEIGHT_DECAY': 0.0001}, 'USE_GPU_NMS': True} voc_2007_trainval gt roidb loaded from /media/scw4750/个人文件/liujiajia/fpn.pytorch-master/data/cache/voc_2007_trainval_gt_roidb.pkl Loaded dataset voc_2007_trainval for training voc_2007_trainval gt roidb loaded from /media/scw4750/个人文件/liujiajia/fpn.pytorch-master/data/cache/voc_2007_trainval_gt_roidb.pkl Set proposal method: gt Appending horizontally-flipped training examples... Traceback (most recent call last): File "/media/scw4750/个人文件/liujiajia/fpn.pytorch-master/trainval_net.py", line 219, in imdb, roidb, ratio_list, ratio_index = combined_roidb(args.imdb_name) File "/media/scw4750/个人文件/liujiajia/fpn.pytorch-master/lib/roi_data_layer/roidb.py", line 116, in combined_roidb roidbs = [get_roidb(s) for s in imdb_names.split('+')] File "/media/scw4750/个人文件/liujiajia/fpn.pytorch-master/lib/roi_data_layer/roidb.py", line 116, in roidbs = [get_roidb(s) for s in imdb_names.split('+')] File "/media/scw4750/个人文件/liujiajia/fpn.pytorch-master/lib/roi_data_layer/roidb.py", line 113, in get_roidb roidb = get_training_roidb(imdb) File "/media/scw4750/个人文件/liujiajia/fpn.pytorch-master/lib/roi_data_layer/roidb.py", line 97, in get_training_roidb imdb.append_flipped_images() File "/media/scw4750/个人文件/liujiajia/fpn.pytorch-master/lib/datasets/imdb.py", line 118, in append_flipped_images boxes = self.roidb[i]['boxes'].copy() File "/media/scw4750/个人文件/liujiajia/fpn.pytorch-master/lib/datasets/imdb.py", line 76, in roidb self._roidb = self.roidb_handler() TypeError: 'list' object is not callable

Process finished with exit code 1

How to solve? Thank you very much! My version is Pytorch 0.4 ,Python 3.6