Global: model: PP-ShiTuV2_rec mode: check_dataset # check_dataset/train/evaluate/predict dataset_dir: "/paddle/dataset/paddlex/shitu_rec/Inshop_examples" device: gpu:0,1,2,3 output: "output" CheckDataset: convert: enable: False src_dataset_type: null split: enable: False train_percent: null gallery_percent: null query_percent: null Train: num_classes: 159 epochs_iters: 20 batch_size: 128 learning_rate: 0.01 pretrain_weight_path: https://paddleclas.bj.bcebos.com/models/PP-ShiTu/PP-ShiTuV2_rec_pretrained.pdparams warmup_steps: 5 resume_path: null log_interval: 1 eval_interval: 1 save_interval: 1 Evaluate: weight_path: "output/best_model/best_model.pdparams" log_interval: 1 Export: weight_path: https://paddleclas.bj.bcebos.com/models/PP-ShiTu/PP-ShiTuV2_rec_pretrained.pdparams Predict: batch_size: 1 model_dir: "output/best_model/inference" input: "https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_image_recognition_001.jpg" kernel_option: run_mode: paddle