| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130 |
- _BASE_: [
- '../datasets/coco_detection.yml',
- '../runtime.yml',
- './_base_/faster_rcnn_reader.yml',
- './_base_/optimizer_base_1x.yml'
- ]
- weights: output/faster_rcnn_vit_base_fpn_cae_1x_coco/model_final
- # runtime
- log_iter: 100
- snapshot_epoch: 1
- find_unused_parameters: True
- use_gpu: true
- norm_type: sync_bn
- OptimizerBuilder:
- optimizer:
- weight_decay: 0.05
- # reader
- worker_num: 2
- TrainReader:
- batch_size: 1
- # model
- architecture: FasterRCNN
- FasterRCNN:
- backbone: VisionTransformer
- neck: FPN
- rpn_head: RPNHead
- bbox_head: BBoxHead
- bbox_post_process: BBoxPostProcess
- VisionTransformer:
- patch_size: 16
- embed_dim: 768
- depth: 12
- num_heads: 12
- mlp_ratio: 4
- qkv_bias: True
- drop_rate: 0.0
- drop_path_rate: 0.2
- init_values: 0.1
- final_norm: False
- use_rel_pos_bias: False
- use_sincos_pos_emb: True
- epsilon: 0.000001 # 1e-6
- out_indices: [3, 5, 7, 11]
- with_fpn: True
- pretrained: https://bj.bcebos.com/v1/paddledet/models/pretrained/vit_base_cae_pretrained.pdparams
- FPN:
- out_channel: 256
- RPNHead:
- anchor_generator:
- aspect_ratios: [0.5, 1.0, 2.0]
- anchor_sizes: [[32], [64], [128], [256], [512]]
- strides: [4, 8, 16, 32, 64]
- rpn_target_assign:
- batch_size_per_im: 256
- fg_fraction: 0.5
- negative_overlap: 0.3
- positive_overlap: 0.7
- use_random: True
- train_proposal:
- min_size: 0.0
- nms_thresh: 0.7
- pre_nms_top_n: 2000
- post_nms_top_n: 1000
- topk_after_collect: True
- test_proposal:
- min_size: 0.0
- nms_thresh: 0.7
- pre_nms_top_n: 1000
- post_nms_top_n: 1000
- loss_rpn_bbox: SmoothL1Loss
- SmoothL1Loss:
- beta: 0.1111111111111111
- BBoxHead:
- # head: TwoFCHead
- head: XConvNormHead
- roi_extractor:
- resolution: 7
- sampling_ratio: 0
- aligned: True
- bbox_assigner: BBoxAssigner
- loss_normalize_pos: True
- bbox_loss: GIoULoss
- GIoULoss:
- loss_weight: 10.
- reduction: 'none'
- eps: 0.000001 # 1e-6
- BBoxAssigner:
- batch_size_per_im: 512
- bg_thresh: 0.5
- fg_thresh: 0.5
- fg_fraction: 0.25
- use_random: True
- # TwoFCHead:
- # out_channel: 1024
- XConvNormHead:
- num_convs: 4
- norm_type: bn
- BBoxPostProcess:
- decode: RCNNBox
- nms:
- name: MultiClassNMS
- keep_top_k: 100
- score_threshold: 0.05
- nms_threshold: 0.5
|
