mirror of https://github.com/PyRetri/PyRetri.git
73 lines
1.4 KiB
YAML
73 lines
1.4 KiB
YAML
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# retrieval settings
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datasets:
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batch_size: 16
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collate_fn:
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name: "CollateFn"
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folder:
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name: "Folder"
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transformers:
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names: ["PadResize", "ToTensor", "Normalize"]
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PadResize:
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size: 224
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Normalize:
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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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model:
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name: "resnet50"
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resnet50:
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load_checkpoint: "torchvision://resnet50"
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extract:
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assemble: 0
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extractor:
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name: "ResSeries"
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ResSeries:
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extract_features: ["pool5"]
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splitter:
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name: "Identity"
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aggregators:
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names: ["GeM"]
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index:
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query_fea_dir: "/data/features/best_features/caltech/query"
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gallery_fea_dir: "/data/features/best_features/caltech/gallery"
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feature_names: ["pool5_GeM"]
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dim_processors:
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names: ["L2Normalize", "PCA", "L2Normalize"]
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PCA:
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proj_dim: 512
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whiten: False
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train_fea_dir: "/data/features/best_features/caltech/gallery"
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l2: True
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feature_enhancer:
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name: "DBA"
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DBA:
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enhance_k: 10 # number of the nearest points to be calculated.
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metric:
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name: "KNN"
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re_ranker:
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name: "QEKR"
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QEKR:
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qe_times: 1 # number of query expansion times.
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qe_k: 10 # number of the neighbors to be combined.
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k1: 20 # hyper-parameter for calculating jaccard distance.
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k2: 6 # hyper-parameter for calculating local query expansion.
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lambda_value: 0.3 # hyper-parameter for calculating the final distance.
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evaluate:
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evaluator:
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name: "OverAll"
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