error when training with my own coco-type data

[HarrisXia]

(pytorch) xia@Xia-Ubuntu:~/1-huafei/tianchi/xbu/Detectron.pytorch$ python tools/train_net_step.py --cfg experiments/e2e_faster_rcnn_X-101-64x4d-FPN_2x.yaml --dataset coco2014 --use_tfboard Called with args: Namespace(batch_size=None, cfg_file='experiments/e2e_faster_rcnn_X-101-64x4d-FPN_2x.yaml', cuda=True, dataset='coco2014', disp_interval=20, iter_size=1, load_ckpt=None, load_detectron=None, lr=None, lr_decay_gamma=None, no_save=False, num_workers=None, optimizer=None, resume=False, set_cfgs=[], start_step=0, use_tfboard=True) effective_batch_size = batch_size iter_size = 1 1 Adaptive config changes: effective_batch_size: 1 --> 1 NUM_GPUS: 1 --> 1 IMS_PER_BATCH: 1 --> 1 Adjust BASE_LR linearly according to batch_size change: BASE_LR: 0.01 --> 0.01 Adjust SOLVER.STEPS and SOLVER.MAX_ITER linearly based on effective_batch_size change: SOLVER.STEPS: [0, 120000, 180000, 240000] --> [0, 120000, 180000, 240000] SOLVER.MAX_ITER: 360000 --> 360000 Scale FPN rpn_proposals collect size directly propotional to the change of IMS_PER_BATCH: cfg.FPN.RPN_COLLECT_SCALE: 1.0 Number of data loading threads: 4 loading annotations into memory... Done (t=0.04s) creating index... index created! Traceback (most recent call last): File "tools/train_net_step.py", line 457, in main() File "tools/train_net_step.py", line 233, in main cfg.TRAIN.DATASETS, cfg.TRAIN.PROPOSAL_FILES) File "/home/xia/1-huafei/tianchi/xbu/Detectron.pytorch/lib/datasets/roidb.py", line 62, in combined_roidb_for_training roidbs = [get_roidb(args) for args in zip(dataset_names, proposal_files)] File "/home/xia/1-huafei/tianchi/xbu/Detectron.pytorch/lib/datasets/roidb.py", line 62, in roidbs = [get_roidb(args) for args in zip(dataset_names, proposal_files)] File "/home/xia/1-huafei/tianchi/xbu/Detectron.pytorch/lib/datasets/roidb.py", line 47, in get_roidb crowd_filter_thresh=cfg.TRAIN.CROWD_FILTER_THRESH File "/home/xia/1-huafei/tianchi/xbu/Detectron.pytorch/lib/datasets/json_dataset.py", line 152, in get_roidb self._add_gt_annotations(entry) File "/home/xia/1-huafei/tianchi/xbu/Detectron.pytorch/lib/datasets/json_dataset.py", line 224, in _add_gt_annotations if obj['area'] < cfg.TRAIN.GT_MIN_AREA: TypeError: '<' not supported between instances of 'list' and 'int'

[HarrisXia]

already done