141 lines
3.0 KiB
YAML
141 lines
3.0 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: 15
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eval_during_train: True
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eval_interval: 15
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epochs: 150
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print_batch_step: 10
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use_visualdl: False
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# used for static mode and model export
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image_shape: [3, 224, 224]
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save_inference_dir: ./inference
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eval_mode: retrieval
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use_dali: False
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to_static: False
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#feature postprocess
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feature_normalize: False
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feature_binarize: "sign"
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# model architecture
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Arch:
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name: RecModel
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infer_output_key: features
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infer_add_softmax: False
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Backbone:
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name: AlexNet
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pretrained: True
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class_num: 48
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# loss function config for train/eval process
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Loss:
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Train:
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- DCHLoss:
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weight: 1.0
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gamma: 20.0
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_lambda: 0.1
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n_class: 10
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Eval:
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- DCHLoss:
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weight: 1.0
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gamma: 20.0
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_lambda: 0.1
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n_class: 10
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Optimizer:
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name: SGD
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lr:
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name: Piecewise
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learning_rate: 0.005
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decay_epochs: [200]
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values: [0.005, 0.0005]
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regularizer:
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name: 'L2'
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coeff: 0.00001
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# data loader for train and eval
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DataLoader:
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Train:
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dataset:
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name: ImageNetDataset
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image_root: ./dataset/CIFAR10/
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cls_label_path: ./dataset/CIFAR10/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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- ResizeImage:
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size: 224
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- NormalizeImage:
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scale: 1.0/255.0
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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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batch_size: 128
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drop_last: False
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shuffle: True
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loader:
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num_workers: 4
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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: ImageNetDataset
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image_root: ./dataset/CIFAR10/
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cls_label_path: ./dataset/CIFAR10/test_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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- ResizeImage:
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size: 224
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- NormalizeImage:
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scale: 1.0/255.0
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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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batch_size: 128
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drop_last: False
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shuffle: False
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loader:
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num_workers: 4
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use_shared_memory: True
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Gallery:
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dataset:
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name: ImageNetDataset
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image_root: ./dataset/CIFAR10/
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cls_label_path: ./dataset/CIFAR10/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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- ResizeImage:
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size: 224
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- NormalizeImage:
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scale: 1.0/255.0
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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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batch_size: 128
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drop_last: False
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shuffle: False
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loader:
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num_workers: 4
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use_shared_memory: True
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Metric:
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Eval:
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- mAP: {}
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- Recallk:
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topk: [1, 5]
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