你好！我按照你readme中步骤去训练，报了如下错误： `/home/ckq/anaconda3/envs/FairMOT/bin/python /home/ckq/git/FairMOTVehicle/src/train.py Using tensorboardX Fix size testing. training chunk_sizes: [1, 2, 1] The output will be saved to /home/ckq/git/FairMOTVehicle/src/lib/../../exp/mot/default Setting up data... Dataset root: /home/ckq/data/even/dataset

dataset summary OrderedDict([('detrac', 5952.0)]) total # identities: 5952 start index OrderedDict([('detrac', 0)])

heads: {'hm': 1, 'wh': 2, 'id': 128, 'reg': 2} opt: Namespace(K=128, arch='dla_34', batch_size=4, cat_spec_wh=False, chunk_sizes=[1, 2, 1], conf_thres=0.4, data_cfg='../src/lib/cfg/detrac.json', data_dir='/home/ckq/data/even/dataset', dataset='jde', debug_dir='/home/ckq/git/FairMOTVehicle/src/lib/../../exp/mot/default/debug', dense_wh=False, det_thres=0.3, down_ratio=4, exp_dir='/home/ckq/git/FairMOTVehicle/src/lib/../../exp/mot', exp_id='default', fix_res=True, gpus=[0, 5, 6], gpus_str='0, 5, 6', head_conv=256, heads={'hm': 1, 'wh': 2, 'id': 128, 'reg': 2}, hide_data_time=False, hm_weight=1, id_loss='ce', id_weight=1, img_size=(1088, 608), input_h=1088, input_res=1088, input_video='../videos/test3.mp4', input_w=608, is_debug=True, keep_res=False, load_model='../models/ctdet_coco_dla_2x.pth', lr=0.0001, lr_step=[20, 27], master_batch_size=1, mean=None, metric='loss', min_box_area=200, mse_loss=False, nID=5952, nms_thres=0.4, norm_wh=False, not_cuda_benchmark=False, not_prefetch_test=False, not_reg_offset=False, num_classes=1, num_epochs=30, num_iters=-1, num_stacks=1, num_workers=8, off_weight=1, output_format='video', output_h=272, output_res=272, output_root='../results', output_w=152, pad=31, print_iter=0, reg_loss='l1', reg_offset=True, reid_dim=128, resume=False, root_dir='/home/ckq/git/FairMOTVehicle/src/lib/../..', save_all=False, save_dir='/home/ckq/git/FairMOTVehicle/src/lib/../../exp/mot/default', seed=317, std=None, task='mot', test=False, test_mot15=False, test_mot16=False, test_mot17=False, test_mot20=False, track_buffer=30, trainval=False, val_intervals=10, val_mot15=False, val_mot16=False, val_mot17=False, val_mot20=False, vis_thresh=0.5, wh_weight=0.1) Creating model... loaded ../models/ctdet_coco_dla_2x.pth, epoch 230 Skip loading parameter hm.2.weight, required shapetorch.Size([1, 256, 1, 1]), loaded shapetorch.Size([80, 256, 1, 1]). If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Skip loading parameter hm.2.bias, required shapetorch.Size([1]), loaded shapetorch.Size([80]). If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. No param id.0.weight.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. No param id.0.bias.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. No param id.2.weight.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. No param id.2.bias.If you see this, your model does not fully load the pre-trained weight. Please make sure you have correctly specified --arch xxx or set the correct --num_classes for your own dataset. Starting training...`

请问我是哪里错了？