136 lines
3.0 KiB
YAML
136 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: 1
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eval_during_train: True
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eval_interval: 1
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epochs: 20
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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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use_multilabel: True
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# model architecture
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Arch:
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name: "SwinTransformer_tiny_patch4_window7_224"
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pretrained: True
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class_num: 26
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# loss function config for traing/eval process
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Loss:
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Train:
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- MultiLabelLoss:
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weight: 1.0
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weight_ratio: True
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size_sum: True
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Eval:
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- MultiLabelLoss:
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weight: 1.0
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weight_ratio: True
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size_sum: True
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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: Cosine
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learning_rate: 0.01
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warmup_epoch: 5
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regularizer:
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name: 'L2'
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coeff: 0.0005
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#clip_norm: 10
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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: MultiLabelDataset
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image_root: "dataset/pa100k/"
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cls_label_path: "dataset/pa100k/train_list.txt"
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label_ratio: True
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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, 224]
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- Padv2:
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size: [244, 244]
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pad_mode: 1
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fill_value: 0
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- RandomCropImage:
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size: [224, 224]
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- RandFlipImage:
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flip_code: 1
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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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name: DistributedBatchSampler
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batch_size: 64
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drop_last: True
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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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dataset:
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name: MultiLabelDataset
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image_root: "dataset/pa100k/"
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cls_label_path: "dataset/pa100k/val_list.txt"
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label_ratio: True
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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, 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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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: 4
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use_shared_memory: True
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Infer:
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infer_imgs: deploy/images/PULC/person_attribute/090004.jpg
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batch_size: 10
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transforms:
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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, 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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- ToCHWImage:
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PostProcess:
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name: PersonAttribute
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threshold: 0.5 #default threshold
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glasses_threshold: 0.3 #threshold only for glasses
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hold_threshold: 0.6 #threshold only for hold
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Metric:
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Eval:
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- ATTRMetric:
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