AttributeError: 无法序列化本地对象 'get_dataset.<locals>.Dataset'

(measure) C:\Users\IFL\Desktop\Liu\Detector\CenterNet\src>Python main.py ctdet --exp_id 640 --batch_size 4 --dataset corner --input_res 640 --num_epochs 150 --val_intervals 10 Fix size testing. training chunk_sizes: [4] The output will be saved to C:\Users\IFL\Desktop\Liu\Detector\CenterNet\src\lib....\exp\ctdet\640 heads {'hm': 80, 'wh': 2, 'reg': 2} Namespace(K=100, aggr_weight=0.0, agnostic_ex=False, arch='dla_34', aug_ddd=0.5, aug_rot=0, batch_size=4, cat_spec_wh=False, center_thresh=0.1, chunk_sizes=[4], data_dir='C:\Users\IFL\Desktop\Liu\Detector\CenterNet\src\lib\..\..\data', dataset='corner', debug=0, debug_dir='C:\Users\IFL\Desktop\Liu\Detector\CenterNet\src\lib\..\..\exp\ctdet\640\debug', debugger_theme='white', demo='', dense_hp=False, dense_wh=False, dep_weight=1, dim_weight=1, down_ratio=4, eval_oracle_dep=False, eval_oracle_hm=False, eval_oracle_hmhp=False, eval_oracle_hp_offset=False, eval_oracle_kps=False, eval_oracle_offset=False, eval_oracle_wh=False, exp_dir='C:\Users\IFL\Desktop\Liu\Detector\CenterNet\src\lib\..\..\exp\ctdet', exp_id='640', fix_res=True, flip=0.5, flip_test=False, gpus=[0], gpus_str='0', head_conv=256, heads={'hm': 80, 'wh': 2, 'reg': 2}, hide_data_time=False, hm_hp=True, hm_hp_weight=1, hm_weight=1, hp_weight=1, input_h=640, input_res=640, input_w=640, keep_res=False, kitti_split='3dop', load_model='', lr=0.000125, lr_step=[90, 120], master_batch_size=4, mean=array([[[0.40789655, 0.44719303, 0.47026116]]], dtype=float32), metric='loss', mse_loss=False, nms=False, no_color_aug=False, norm_wh=False, not_cuda_benchmark=False, not_hm_hp=False, not_prefetch_test=False, not_rand_crop=False, not_reg_bbox=False, not_reg_hp_offset=False, not_reg_offset=False, num_classes=80, num_epochs=150, num_iters=-1, num_stacks=1, num_workers=4, off_weight=1, output_h=160, output_res=160, output_w=160, pad=31, peak_thresh=0.2, print_iter=0, rect_mask=False, reg_bbox=True, reg_hp_offset=True, reg_loss='l1', reg_offset=True, resume=False, root_dir='C:\Users\IFL\Desktop\Liu\Detector\CenterNet\src\lib\..\..', rot_weight=1, rotate=0, save_all=False, save_dir='C:\Users\IFL\Desktop\Liu\Detector\CenterNet\src\lib\..\..\exp\ctdet\640', scale=0.4, scores_thresh=0.1, seed=317, shift=0.1, std=array([[[0.2886383 , 0.27408165, 0.27809834]]], dtype=float32), task='ctdet', test=False, test_scales=[1.0], trainval=False, val_intervals=10, vis_thresh=0.3, wh_weight=0.1) The command "cp" is either misspelled or could not be found. Creating model... Setting up data... ==> initializing coco 2017 val data. loading annotations into memory... Done (t=0.00s) creating index... index created! Loaded val 177 samples ==> initializing coco 2017 train data. loading annotations into memory... Done (t=0.03s) creating index... index created! Loaded train 934 samples Starting training... ctdet/640Traceback (most recent call last): File "main.py", line 102, in …