incorrect pretrained model in only MOT17 training.

[JoJoistheBestOne]

Dear authors. recently, I'm trying to reproduce the ablation studies but with more dimension changes. the code version is [4aa6297](https://github.com/ifzhang/FairMOT/commit/4aa62976bde6266cbafd0509e24c3d98a7d0899f).

when I i tried MOT17.

sh experiments/mot17_dla34.sh

I got below errors..

heads {'hm': 1, 'wh': 4, 'id': 128, 'reg': 2}                                                                                                                                                 Namespace(K=500, arch='dla_34', batch_size=12, cat_spec_wh=False, chunk_sizes=[6, 6], conf_thres=0.4, data_cfg='../src/lib/cfg/mot17.json', data_dir='/face/hnren/3.track/data', dataset='jde', debug_dir='/workspace/src/lib/../../exp/mot/mot17_dla34/debug', dense_wh=False, det_thres=0.3, down_ratio=4, exp_dir='/workspace/src/lib/../../exp/mot', exp_id='mot17_dla34', fix_res=True, gpus=[2, 3], gpus_str='2, 3', head_conv=256, heads={'hm': 1, 'wh': 4, '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/MOT16-03.mp4', input_w=608, keep_res=False, load_model='../models/ctdet_coco_dla_2x.pth', lr=0.0001, lr_step=[20], ltrb=True, master_batch_size=6, mean=None, metric='loss', min_box_area=100, mse_loss=False, multi_loss='uncertainty', nID=1425, 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='../demos', output_w=152, pad=31, print_iter=0, reg_loss='l1', reg_offset=True, reid_dim=128, resume=False, root_dir='/workspace/src/lib/../..', save_all=False, save_dir='/workspace/src/lib/../../exp/mot/mot17_dla34', seed=317, std=None, task='mot', test=False, test_hie=False, test_mot15=False, test_mot16=False, test_mot17=False, test_mot20=False, track_buffer=30, trainval=False, val_hie=False, val_intervals=5, val_mot15=False, val_mot16=False, val_mot17=True, val_mot20=False, vis_thresh=0.5, wh_weight=0.1)                                                                                          Creating model...                                                                                                                                                                             Starting training...                                                                                                                                                                          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.                                                                                                      Skip loading parameter wh.2.weight, required shapetorch.Size([4, 256, 1, 1]), loaded shapetorch.Size([2, 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 wh.2.bias, required shapetorch.Size([4]), loaded shapetorch.Size([2]). 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.

Could you be so kind as to let me know what happens?

Thanks.