测试时出错，代码无改动(python test.py CornerNet --testiter 500000 --split testing)

[ltc576935585]

(CornerNet) ltc@ltcpc:~/CornerNet$ python test.py CornerNet --testiter 500000 --split testing cfg_file: ./config/CornerNet.json loading all datasets... split: testdev loading from cache file: ./cache/coco_testdev2017.pkl loading annotations into memory... Done (t=0.03s) creating index... index created! system config... {'batch_size': 3, 'cache_dir': './cache', 'chunk_sizes': 4, 'config_dir': './config', 'data_dir': './data', 'data_rng': <mtrand.RandomState object at 0x7f01da5f36c0>, 'dataset': 'MSCOCO', 'decay_rate': 10, 'display': 5, 'learning_rate': 0.00025, 'max_iter': 500000, 'nnet_rng': <mtrand.RandomState object at 0x7f01da5f3708>, 'opt_algo': 'adam', 'prefetch_size': 5, 'pretrain': None, 'result_dir': './results', 'sampling_function': 'kp_detection', 'snapshot': 5000, 'snapshot_name': 'CornerNet', 'stepsize': 450000, 'test_split': 'testdev', 'train_split': 'trainval', 'val_iter': 100, 'val_split': 'minival', 'weight_decay': False, 'weight_decay_rate': 1e-05, 'weight_decay_type': 'l2'} db config... {'ae_threshold': 0.5, 'border': 128, 'categories': 80, 'data_aug': True, 'gaussian_bump': True, 'gaussian_iou': 0.3, 'gaussian_radius': -1, 'input_size': [511, 511], 'lighting': True, 'max_per_image': 100, 'merge_bbox': False, 'nms_algorithm': 'exp_soft_nms', 'nms_kernel': 3, 'nms_threshold': 0.5, 'output_sizes': [[128, 128]], 'rand_color': True, 'rand_crop': True, 'rand_pushes': False, 'rand_samples': False, 'rand_scale_max': 1.4, 'rand_scale_min': 0.6, 'rand_scale_step': 0.1, 'rand_scales': array([0.6, 0.7, 0.8, 0.9, 1. , 1.1, 1.2, 1.3]), 'special_crop': False, 'test_scales': [1], 'top_k': 100, 'weight_exp': 8} loading parameters at iteration: 500000 building neural network... module_file: models.CornerNet total parameters: 201035212 loading parameters... loading model from ./cache/nnet/CornerNet/CornerNet_500000.pkl Traceback (most recent call last): File "test.py", line 99, in test(testing_db, args.split, args.testiter, args.debug, args.suffix) File "test.py", line 54, in test nnet.load_params(test_iter) File "/home/ltc/CornerNet/nnet/py_factory.py", line 117, in load_params self.model.load_state_dict(params) File "/home/ltc/anaconda3/envs/CornerNet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 721, in load_state_dict self.class.name, "\n\t".join(error_msgs))) RuntimeError: Error(s) in loading state_dict for DummyModule: Missing key(s) in state_dict: "module.pre.0.conv.weight", "module.pre.0.bn.weight", "module.pre.0.bn.bias", "module.pre.0.bn.running_mean", "module.pre.0.bn.running_var", "module.pre.1.conv1.weight", "module.pre.1.bn1.weight", "module.pre.1.bn1.bias", "module.pre.1.bn1.running_mean", "module.pre.1.bn1.running_var", "module.pre.1.conv2.weight", "module.pre.1.bn2.weight", "module.pre.1.bn2.bias", "module.pre.1.bn2.running_mean", "module.pre.1.bn2.running_var", "module.pre.1.skip.0.weight", "module.pre.1.skip.1.weight", "module.pre.1.skip.1.bias", "module.pre.1.skip.1.running_mean", "module.pre.1.skip.1.running_var", "module.kps.0.up1.0.conv1.weight", "module.kps.0.up1.0.bn1.weight", "module.kps.0.up1.0.bn1.bias", "module.kps.0.up1.0.bn1.running_mean", 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[YohannaYin]

I have the same problem,Have you solved it?

[YohannaYin]

I have the same problem,Have you solved it?

I have solved it,by changing nnet/py_factory.py: convert self.model.load_state_dict(params) to self.model.load_state_dict(params,False)