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https://github.com/luguoyixiazi/test_nine.git
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43 lines
1.0 KiB
YAML
43 lines
1.0 KiB
YAML
Global:
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model: PP-HGNetV2-B4
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mode: check_dataset # check_dataset/train/evaluate/predict
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dataset_dir: "dataset"
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device: gpu:0
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output: "output"
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CheckDataset:
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convert:
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enable: False
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src_dataset_type: null
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split:
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enable: False
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train_percent: null
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val_percent: null
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Train:
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num_classes: 91
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epochs_iters: 100
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batch_size: 64
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learning_rate: 0.05
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pretrain_weight_path: https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPHGNetV2_B4_ssld_pretrained.pdparams
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warmup_steps: 5
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resume_path: null
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log_interval: 1
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eval_interval: 1
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save_interval: 5
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Evaluate:
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weight_path: "output/best_model/best_model.pdparams"
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log_interval: 1
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Export:
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weight_path: https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPHGNetV2_B4_ssld_pretrained.pdparams
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# weight_path: "./output/best_model/inference/inference"
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Predict:
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batch_size: 1
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model_dir: "output/best_model/inference"
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input: "cropped_3.jpg"
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kernel_option:
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run_mode: paddle
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