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- Global:
- model: PP-YOLOE-R-L
- mode: check_dataset # check_dataset/train/evaluate/predict
- dataset_dir: "dataset/rdet_dota_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: 15
- epochs_iters: 10
- batch_size: 1
- learning_rate: 0.128
- pretrain_weight_path: https://paddledet.bj.bcebos.com/models/pretrained/CSPResNetb_l_pretrained.pdparams
- warmup_steps: 100
- resume_path: null
- log_interval: 10
- eval_interval: 5
- Evaluate:
- weight_path: "output/best_model/best_model.pdparams"
- log_interval: 10
- Export:
- weight_path: https://paddledet.bj.bcebos.com/models/ppyoloe_r_crn_l_3x_dota.pdparams
- Predict:
- batch_size: 1
- model_dir: "output/best_model/inference"
- input: "https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/rotated_object_detection_001.png"
- kernel_option:
- run_mode: paddle
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