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[2024-11-25 20:23:40,889][ train_val.py][line: 116][ INFO] args: Namespace(config='../configs/onenip_config.yaml', evaluate=True, local_rank='0', opts=['dataset.image_reader.kwargs.image_dir', '/fuxi_team2/persons/danylgao/weicun_ceph/datasets/visa', 'dataset.train.dtd_dir', '/fuxi_team2/persons/danylgao/weicun_ceph/datasets/dtd', 'dataset.train.meta_file', '../data/visa/train.json', 'dataset.test.meta_file', '../data/visa/test.json', 'dataset.input_size', '[320, 320]', 'net[2].kwargs.num_encoder_layers', '4', 'net[2].kwargs.num_decoder_layers', '4', 'saver.save_dir', '../checkpoints-retraining-1111/onenip-visa-4-4-320'])
[2024-11-25 20:23:40,891][ train_val.py][line: 117][ INFO] config: {'criterion': [{'kwargs': {'weight': 1.0},
'name': 'FeatureMSELoss',
'type': 'FeatureMSELoss'},
{'kwargs': {'weight': 0.5},
'name': 'DiceLoss',
'type': 'DiceLoss'}],
'dataset': {'batch_size': 8,
'image_reader': {'kwargs': {'color_mode': 'RGB',
'image_dir': '/fuxi_team2/persons/danylgao/weicun_ceph/datasets/visa'},
'type': 'opencv'},
'input_size': [320, 320],
'pixel_mean': [0.485, 0.456, 0.406],
'pixel_std': [0.229, 0.224, 0.225],
'test': {'meta_file': '../data/visa/test.json'},
'train': {'dtd_dir': '/fuxi_team2/persons/danylgao/weicun_ceph/datasets/dtd',
'hflip': False,
'meta_file': '../data/visa/train.json',
'rebalance': False,
'rotate': False,
'vflip': False},
'type': 'onenip',
'workers': 4},
'evaluator': {'eval_dir': '../checkpoints-retraining-1111/onenip-visa-4-4-320/result_eval_temp',
'key_metric': 'mean_pixel_auc',
'metrics': {'auc': [{'kwargs': {'avgpool_size': [16, 16]},
'name': 'max'},
{'name': 'pixel'}]},
'save_dir': '../checkpoints-retraining-1111/onenip-visa-4-4-320/result_eval_temp',
'vis_compound': {'max_score': None,
'min_score': None,
'save_dir': '../checkpoints-retraining-1111/onenip-visa-4-4-320/vis_compound'}},
'exp_path': '../checkpoints-retraining-1111/onenip-visa-4-4-320',
'frozen_layers': ['backbone'],
'log_path': '../checkpoints-retraining-1111/onenip-visa-4-4-320/log',
'net': [{'frozen': True,
'kwargs': {'outblocks': [1, 5, 9, 21],
'outstrides': [2, 4, 8, 16],
'pretrained': True},
'name': 'backbone',
'type': 'models.backbones.efficientnet_b4'},
{'kwargs': {'outplanes': [272], 'outstrides': [16]},
'name': 'neck',
'prev': 'backbone',
'type': 'models.necks.MFCN'},
{'kwargs': {'activation': 'relu',
'dim_feedforward': 1024,
'dropout': 0.1,
'feature_jitter': {'prob': 1.0, 'scale': 20.0},
'feature_size': [20, 20],
'hidden_dim': 256,
'initializer': {'method': 'xavier_uniform'},
'neighbor_mask': {'mask': [True, True, True],
'neighbor_size': [10, 10]},
'nhead': 8,
'normalize_before': False,
'num_decoder_layers': 4.0,
'num_encoder_layers': 4.0,
'pos_embed_type': 'learned',
'save_recon': {'save_dir': '../checkpoints-retraining-1111/onenip-visa-4-4-320/result_recon'}},
'name': 'reconstruction',
'prev': 'neck',
'type': 'models.reconstructions.OneNIP'}],
'port': 11111,
'random_seed': 133,
'save_path': '../checkpoints-retraining-1111/onenip-visa-4-4-320',
'saver': {'always_save': False,
'auto_resume': False,
'load_path': '../checkpoints-retraining-1111/onenip-visa-4-4-320/ckpt.pkl',
'log_dir': '../checkpoints-retraining-1111/onenip-visa-4-4-320/log',
'save_dir': '../checkpoints-retraining-1111/onenip-visa-4-4-320'},
'trainer': {'clip_max_norm': 0.1,
'lr_scheduler': {'kwargs': {'gamma': 0.1, 'step_size': 800},
'type': 'StepLR'},
'max_epoch': 1000,
'optimizer': {'kwargs': {'betas': [0.9, 0.999],
'lr': 0.0001,
'weight_decay': 0.0001},
'type': 'AdamW'},
'print_freq_step': 1,
'tb_freq_step': 1,
'val_freq_epoch': 10},
'version': 'v1.0.0'}
[2024-11-25 20:23:41,280][ utils.py][line: 740][ INFO] not exist, load from https://github.com/lukemelas/EfficientNet-PyTorch/releases/download/1.0/efficientnet-b4-6ed6700e.pth
[2024-11-25 20:23:41,399][ utils.py][line: 761][ INFO] Loaded ImageNet pretrained efficientnet-b4
[2024-11-25 20:23:45,010][ train_val.py][line: 143][ INFO] layers: ['backbone', 'neck', 'reconstruction']
[2024-11-25 20:23:45,010][ train_val.py][line: 144][ INFO] active layers: ['neck', 'reconstruction']
[2024-11-25 20:23:54,367][custom_dataset.py][line: 175][ INFO] building CustomDataset from: ../data/visa/train.json
[2024-11-25 20:23:54,444][custom_dataset.py][line: 175][ INFO] building CustomDataset from: ../data/visa/test.json
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[2024-11-25 20:26:01,541][ train_val.py][line: 392][ INFO] Gathering final results ...
[2024-11-25 20:26:01,542][ train_val.py][line: 394][ INFO] * Loss 4.77533 total_num=2162.0
[2024-11-25 20:28:34,275][ eval_helper.py][line: 343][ INFO]
| clsname | max_auc | max_ap | pixel_auc | pixel_ap |
|:----------:|:---------:|:--------:|:-----------:|:----------:|
| candle | 97.63 | 97.7099 | 99.4971 | 36.947 |
| capsules | 87.3667 | 93.2686 | 99.2146 | 65.5809 |
| cashew | 93.58 | 96.8758 | 97.8171 | 64.4367 |
| chewinggum | 99.5 | 99.7736 | 99.1776 | 65.2569 |
| fryum | 94.28 | 97.3371 | 97.2867 | 46.2179 |
| macaroni1 | 94.51 | 94.7195 | 99.5493 | 29.9626 |
| macaroni2 | 84.09 | 85.8537 | 99.0873 | 15.4294 |
| pcb1 | 97.9 | 97.1866 | 99.7411 | 77.7116 |
| pcb2 | 96.75 | 96.6408 | 98.8541 | 14.5377 |
| pcb3 | 94.7624 | 95.8056 | 99.1233 | 23.9398 |
| pcb4 | 99.7624 | 99.7605 | 97.9307 | 41.4758 |
| pipe_fryum | 97.58 | 98.7759 | 99.3631 | 72.0874 |
| mean | 94.8093 | 96.1423 | 98.8868 | 46.132 |