更换文档检测模型

This commit is contained in:
2024-08-27 14:42:45 +08:00
parent aea6f19951
commit 1514e09c40
2072 changed files with 254336 additions and 4967 deletions

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architecture: DETR
pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vb_normal_pretrained.pdparams
hidden_dim: 256
DETR:
backbone: ResNet
transformer: DETRTransformer
detr_head: DETRHead
post_process: DETRPostProcess
ResNet:
# index 0 stands for res2
depth: 50
norm_type: bn
freeze_at: 0
return_idx: [3]
lr_mult_list: [0.0, 0.1, 0.1, 0.1]
num_stages: 4
DETRTransformer:
num_queries: 100
position_embed_type: sine
nhead: 8
num_encoder_layers: 6
num_decoder_layers: 6
dim_feedforward: 2048
dropout: 0.1
activation: relu
DETRHead:
num_mlp_layers: 3
DETRLoss:
loss_coeff: {class: 1, bbox: 5, giou: 2, no_object: 0.1}
aux_loss: True
HungarianMatcher:
matcher_coeff: {class: 1, bbox: 5, giou: 2}

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worker_num: 0
TrainReader:
sample_transforms:
- Decode: {}
- RandomFlip: {prob: 0.5}
- RandomSelect: { transforms1: [ RandomShortSideResize: { short_side_sizes: [ 480, 512, 544, 576, 608, 640, 672, 704, 736, 768, 800 ], max_size: 1333 } ],
transforms2: [
RandomShortSideResize: { short_side_sizes: [ 400, 500, 600 ] },
RandomSizeCrop: { min_size: 384, max_size: 600 },
RandomShortSideResize: { short_side_sizes: [ 480, 512, 544, 576, 608, 640, 672, 704, 736, 768, 800 ], max_size: 1333 } ]
}
- NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
- NormalizeBox: {}
- BboxXYXY2XYWH: {}
- Permute: {}
batch_transforms:
- PadMaskBatch: {pad_to_stride: -1, return_pad_mask: true}
batch_size: 2
shuffle: true
drop_last: true
collate_batch: false
use_shared_memory: false
EvalReader:
sample_transforms:
- Decode: {}
- Resize: {target_size: [800, 1333], keep_ratio: True}
- NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
- Permute: {}
batch_size: 1
shuffle: false
drop_last: false
TestReader:
sample_transforms:
- Decode: {}
- Resize: {target_size: [800, 1333], keep_ratio: True}
- NormalizeImage: {is_scale: true, mean: [0.485,0.456,0.406], std: [0.229, 0.224,0.225]}
- Permute: {}
batch_size: 1
shuffle: false
drop_last: false

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epoch: 500
LearningRate:
base_lr: 0.0001
schedulers:
- !PiecewiseDecay
gamma: 0.1
milestones: [400]
use_warmup: false
OptimizerBuilder:
clip_grad_by_norm: 0.1
regularizer: false
optimizer:
type: AdamW
weight_decay: 0.0001