| DETR: |
| backbone: PPHGNetV2 |
| detr_head: DocLayoutV3Head |
| neck: MaskHybridEncoder |
| post_process: DocLayoutV3PostProcess |
| transformer: DocLayoutV3Transformer |
| DocLayoutV3Head: |
| loss: |
| aux_loss: true |
| loss_coeff: |
| bbox: 5 |
| class: 4 |
| dice: 5 |
| giou: 2 |
| mask: 5 |
| order: 50 |
| matcher: |
| matcher_coeff: |
| bbox: 5 |
| class: 4 |
| dice: 5 |
| giou: 2 |
| mask: 5 |
| name: HungarianMatcher |
| name: DocLayoutV3Loss |
| use_focal_loss: true |
| use_vfl: true |
| vfl_iou_type: mask |
| DocLayoutV3Metric: |
| eval_mask: false |
| DocLayoutV3PostProcess: |
| mask_stride: 4 |
| num_top_queries: 300 |
| resize_mask: false |
| DocLayoutV3Transformer: |
| activation: relu |
| box_noise_scale: 1.0 |
| dim_feedforward: 1024 |
| dropout: 0.0 |
| feat_strides: |
| - 8 |
| - 16 |
| - 32 |
| label_noise_ratio: 0.5 |
| learnt_init_query: false |
| mask_enhanced: true |
| nhead: 8 |
| num_denoising: 0 |
| num_levels: 3 |
| num_queries: 300 |
| position_embed_type: sine |
| EvalDataset: |
| anno_path: annotations/instance_val.json |
| dataset_dir: /root/work/paddleocr-det/PaddleX/paddlex/dataset/handwriting |
| image_dir: images |
| name: COCOInstSegDataset |
| EvalReader: |
| batch_size: 1 |
| drop_last: false |
| sample_transforms: |
| - Decode: {} |
| - Resize: |
| interp: 2 |
| keep_ratio: false |
| target_size: |
| - 800 |
| - 800 |
| - NormalizeImage: |
| mean: |
| - 0.0 |
| - 0.0 |
| - 0.0 |
| norm_type: none |
| std: |
| - 1.0 |
| - 1.0 |
| - 1.0 |
| - Permute: {} |
| shuffle: false |
| LearningRate: |
| base_lr: 0.0001 |
| schedulers: |
| - !PiecewiseDecay |
| gamma: |
| - 1.0 |
| milestones: |
| - 100 |
| use_warmup: true |
| values: null |
| - !LinearWarmup |
| epochs: null |
| epochs_first: false |
| start_factor: 0.001 |
| steps: 200 |
| MaskHybridEncoder: |
| encoder_layer: |
| activation: gelu |
| d_model: 256 |
| dim_feedforward: 1024 |
| dropout: 0.0 |
| name: TransformerLayer |
| nhead: 8 |
| expansion: 1.0 |
| hidden_dim: 256 |
| mask_feat_channels: |
| - 64 |
| - 64 |
| num_encoder_layers: 1 |
| use_encoder_idx: |
| - 3 |
| OptimizerBuilder: |
| clip_grad_by_norm: 0.1 |
| optimizer: |
| type: AdamW |
| weight_decay: 0.0001 |
| regularizer: false |
| PPHGNetV2: |
| arch: L |
| freeze_at: 0 |
| freeze_norm: true |
| freeze_stem_only: true |
| lr_mult_list: |
| - 0.0 |
| - 0.05 |
| - 0.05 |
| - 0.05 |
| - 0.05 |
| return_idx: |
| - 0 |
| - 1 |
| - 2 |
| - 3 |
| TestDataset: !ImageFolder |
| anno_path: annotations/instance_val.json |
| dataset_dir: /root/work/paddleocr-det/PaddleX/paddlex/dataset/handwriting |
| image_dir: '' |
| sample_num: -1 |
| use_default_label: null |
| TestReader: |
| batch_size: 1 |
| drop_last: false |
| inputs_def: |
| image_shape: |
| - 3 |
| - 800 |
| - 800 |
| sample_transforms: |
| - Decode: {} |
| - Resize: |
| interp: 2 |
| keep_ratio: false |
| target_size: |
| - 800 |
| - 800 |
| - NormalizeImage: |
| mean: |
| - 0.0 |
| - 0.0 |
| - 0.0 |
| norm_type: none |
| std: |
| - 1.0 |
| - 1.0 |
| - 1.0 |
| - Permute: {} |
| shuffle: false |
| TrainDataset: |
| anno_path: annotations/instance_train.json |
| data_fields: |
| - image |
| - gt_bbox |
| - gt_class |
| - gt_poly |
| - is_crowd |
| - gt_read_order |
| dataset_dir: /root/work/paddleocr-det/PaddleX/paddlex/dataset/handwriting |
| image_dir: images |
| name: COCOInstSegDataset |
| TrainReader: |
| batch_size: 8 |
| batch_transforms: |
| - BatchRandomResize: |
| keep_ratio: false |
| random_interp: true |
| random_size: true |
| target_size: |
| - 672 |
| - 704 |
| - 736 |
| - 768 |
| - 800 |
| - 800 |
| - 800 |
| - 800 |
| - 832 |
| - 864 |
| - 896 |
| - 928 |
| - UnpackMask: {} |
| - NormalizeImage: |
| mean: |
| - 0.0 |
| - 0.0 |
| - 0.0 |
| norm_type: none |
| std: |
| - 1.0 |
| - 1.0 |
| - 1.0 |
| - NormalizeBox: {} |
| - BboxXYXY2XYWH: {} |
| - Permute: {} |
| collate_batch: false |
| drop_last: true |
| sample_transforms: |
| - Decode: {} |
| - Poly2MaskPack: |
| del_poly: true |
| - RandomDistort: |
| prob: 0.8 |
| - UpdateBBoxFromMask: {} |
| - RandomExpand: |
| fill_value: |
| - 123.675 |
| - 116.28 |
| - 103.53 |
| prob: 0.5 |
| ratio: 1.5 |
| - RandomCrop: |
| prob: 0.8 |
| use_box_candidates: true |
| shuffle: true |
| use_shared_memory: true |
| amp: false |
| architecture: DETR |
| ema_decay: 0.9999 |
| ema_decay_type: exponential |
| ema_filter_no_grad: true |
| enable_ce: false |
| epoch: 200 |
| eval: true |
| eval_size: |
| - 800 |
| - 800 |
| export: |
| benchmark: false |
| fuse_conv_bn: false |
| nms: true |
| post_process: true |
| export_with_pir: true |
| filename: instancesegmodel_PP-DocLayoutV3 |
| find_unused_parameters: true |
| fleet: false |
| hidden_dim: 256 |
| log_iter: 10 |
| metric: DocLayoutV3Metric |
| norm_type: sync_bn |
| num_classes: 6 |
| num_prototypes: 32 |
| pdx_model_name: PP-DocLayoutV3 |
| pretrain_weights: /root/work/paddleocr-det/PaddleX/PP-DocLayoutV3_pretrained.pdparams |
| print_flops: false |
| print_params: false |
| profiler_options: null |
| proposals_path: sniper/proposals.json |
| resume: null |
| save_dir: /root/work/paddleocr-det/PaddleX/output |
| save_prediction_only: false |
| save_proposals: false |
| snapshot_epoch: 5 |
| target_metrics: mask |
| to_static: false |
| uniform_output_enabled: true |
| use_ema: true |
| use_focal_loss: true |
| use_gpu: true |
| use_iluvatar_gpu: false |
| use_mlu: false |
| use_npu: false |
| use_vdl: true |
| use_wandb: false |
| use_xpu: false |
| vdl_log_dir: /root/work/paddleocr-det/PaddleX/output |
| with_mask: true |
| worker_num: 24 |
|
|
