| 12345678910111213141516171819202122232425262728293031323334353637 |
- Global:
- model: YOLOv3-MobileNetV3
- mode: check_dataset # check_dataset/train/evaluate/predict
- dataset_dir: "/paddle/dataset/paddlex/det/det_coco_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: 4
- epochs_iters: 10
- batch_size: 8
- learning_rate: 0.001
- pretrain_weight_path: null
- warmup_steps: 100
- resume_path: null
- log_interval: 10
- eval_interval: 1
- Evaluate:
- weight_path: "output/best_model.pdparams"
- log_interval: 10
- Predict:
- model_dir: "output/best_model"
- input_path: "https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_object_detection_002.png"
- kernel_option:
- run_mode: paddle
- batch_size: 1
|
