150 lines
3.3 KiB
YAML
150 lines
3.3 KiB
YAML
# global configs
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Global:
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checkpoints: null
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pretrained_model: null
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output_dir: "./output/"
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device: "gpu"
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save_interval: 1
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eval_mode: "retrieval"
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eval_during_train: True
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eval_interval: 1
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epochs: 120
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print_batch_step: 10
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use_visualdl: False
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image_shape: [3, 224, 224]
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infer_imgs:
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save_inference_dir: "./inference"
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feature_normalize: True
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Arch:
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name: "RecModel"
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Backbone:
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name: "ResNet50"
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pretrained: True
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BackboneStopLayer:
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name: "flatten"
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output_dim: 2048
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Head:
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name: "FC"
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class_num: 5013
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embedding_size: 2048
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# margin: 0.5
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# scale: 80
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infer_output_key: "features"
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infer_add_softmax: "false"
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Loss:
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Train:
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- CELoss:
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weight: 1.0
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# - TripletLoss:
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# margin: 0.1
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# weight: 0.1
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Eval:
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- CELoss:
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weight: 1.0
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Optimizer:
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name: Momentum
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momentum: 0.9
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lr:
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name: Piecewise
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learning_rate: 0.1
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decay_epochs: [30, 60, 90]
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values: [0.1, 0.01, 0.001, 0.0001]
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regularizer:
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name: 'L2'
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coeff: 0.0001
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DataLoader:
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Train:
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dataset:
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name: ICartoonDataset
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image_root: "./dataset/iCartoonFace"
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cls_label_path: "./dataset/iCartoonFace/train_list.txt"
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transform_ops:
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- DecodeImage:
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to_rgb: True
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channel_first: False
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- RandCropImage:
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size: 224
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- RandFlipImage:
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flip_code: 1
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- NormalizeImage:
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scale: 0.00392157
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mean: [0.485, 0.456, 0.406]
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std: [0.229, 0.224, 0.225]
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order: ''
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sampler:
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name: DistributedBatchSampler
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#num_instances: 2
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batch_size: 256
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drop_last: False
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shuffle: True
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loader:
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num_workers: 6
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use_shared_memory: True
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Eval:
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Query:
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dataset:
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name: ICartoonDataset
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image_root: "./dataset/iCartoonFace"
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cls_label_path: "./dataset/iCartoonFace/query.txt"
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transform_ops:
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- DecodeImage:
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to_rgb: True
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channel_first: False
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- ResizeImage:
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resize_short: 256
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- CropImage:
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size: 224
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- NormalizeImage:
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scale: 0.00392157
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mean: [0.485, 0.456, 0.406]
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std: [0.229, 0.224, 0.225]
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order: ''
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sampler:
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name: DistributedBatchSampler
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batch_size: 64
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drop_last: False
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shuffle: False
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loader:
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num_workers: 8
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use_shared_memory: True
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Gallery:
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dataset:
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name: ICartoonDataset
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image_root: "./dataset/iCartoonFace"
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cls_label_path: "./dataset/iCartoonFace/gallery.txt"
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transform_ops:
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- DecodeImage:
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to_rgb: True
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channel_first: False
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- ResizeImage:
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resize_short: 256
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- CropImage:
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size: 224
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- NormalizeImage:
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scale: 0.00392157
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mean: [0.485, 0.456, 0.406]
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std: [0.229, 0.224, 0.225]
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order: ''
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sampler:
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name: DistributedBatchSampler
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batch_size: 64
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drop_last: False
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shuffle: False
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loader:
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num_workers: 8
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use_shared_memory: True
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Metric:
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Train:
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- TopkAcc:
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topk: [1, 5]
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Eval:
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- Recallk:
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topk: [1]
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