Commit
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9b73f1c
1
Parent(s):
49ca447
update config.yaml
Browse files- config.yaml +32 -56
config.yaml
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'../../dataset/custom_detection.yml',
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'../../runtime.yml',
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'../include/dataloader.yml',
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'../include/optimizer.yml',
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'../include/dfine_hgnetv2.yml',
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DFINE:
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backbone: HGNetv2
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HGNetv2:
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name: 'B0'
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return_idx: [1, 2, 3]
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freeze_at: -1
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freeze_norm: False
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use_lab: True
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DFINETransformer:
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num_layers: 3 # 4 5 6
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eval_idx: -1 # -2 -3 -4
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HybridEncoder:
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in_channels: [256, 512, 1024]
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hidden_dim: 256
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depth_mult: 0.34
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expansion: 0.5
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optimizer:
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type: AdamW
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params:
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params: '^(?=.*backbone)(?!.*norm|bn).*$'
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lr: 0.0002
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params: '^(?=.*backbone)(?=.*norm|bn).*$'
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lr: 0.0002
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weight_decay: 0.
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params: '^(?=.*(?:encoder|decoder))(?=.*(?:norm|bn|bias)).*$'
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weight_decay: 0.
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lr: 0.0004
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betas: [0.9, 0.999]
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weight_decay: 0.0001
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# Increase to search for the optimal ema
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epochs: 220
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train_dataloader:
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dataset:
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transforms:
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collate_fn:
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base_size_repeat: 20
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val_dataloader:
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task: detection
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evaluator:
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type: CocoEvaluator
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iou_types: ['bbox', ]
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num_classes: 3 # your dataset classes
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remap_mscoco_category: False
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train_dataloader:
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type: DataLoader
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dataset:
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type: CocoDetection
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img_folder: /dataset/images/train
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ann_file: /dataset/annotations/instances_train.json
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return_masks: False
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transforms:
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type: Compose
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ops: ~
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shuffle: True
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num_workers: 4
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drop_last: True
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collate_fn:
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type: BatchImageCollateFunction
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val_dataloader:
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type: DataLoader
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dataset:
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type: CocoDetection
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img_folder: /dataset/images/val
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ann_file: /dataset/annotations/instances_val.json
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return_masks: False
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transforms:
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type: Compose
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ops: ~
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shuffle: False
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num_workers: 4
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drop_last: False
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collate_fn:
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type: BatchImageCollateFunction
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