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- Global:
- model: PP-HGNet_base
- mode: check_dataset # check_dataset/train/evaluate/predict
- dataset_dir: "/paddle/dataset/paddlex/cls/cls_flowers_examples"
- device: gpu:0,1,2,3
- output: "output"
- CheckDataset:
- convert:
- enable: False
- src_dataset_type: null
- split:
- enable: False
- train_percent: null
- val_percent: null
- Train:
- num_classes: 102
- epochs_iters: 20
- batch_size: 64
- learning_rate: 0.25
- pretrain_weight_path: null
- warmup_steps: 5
- resume_path: null
- log_interval: 1
- eval_interval: 1
- save_interval: 1
- Evaluate:
- weight_path: "output/best_model.pdparams"
- log_interval: 1
- Export:
- weight_path: https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPHGNet_base_ssld_pretrained.pdparams
- Predict:
- model_dir: "output/best_model"
- input_path: "https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_image_classification_001.jpg"
- kernel_option:
- run_mode: paddle
- batch_size: 1
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