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: CenterNet
pretrain_weights: https://bj.bcebos.com/v1/paddledet/models/pretrained/DLA34_pretrain.pdparams
CenterNet:
backbone: DLA
neck: CenterNetDLAFPN
head: CenterNetHead
post_process: CenterNetPostProcess
DLA:
depth: 34
CenterNetDLAFPN:
down_ratio: 4
CenterNetHead:
head_planes: 256
regress_ltrb: False
CenterNetPostProcess:
max_per_img: 100
regress_ltrb: False

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architecture: CenterNet
pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_ssld_pretrained.pdparams
norm_type: sync_bn
use_ema: true
ema_decay: 0.9998
CenterNet:
backbone: ResNet
neck: CenterNetDLAFPN
head: CenterNetHead
post_process: CenterNetPostProcess
ResNet:
depth: 50
variant: d
return_idx: [0, 1, 2, 3]
freeze_at: -1
norm_decay: 0.
dcn_v2_stages: [3]
CenterNetDLAFPN:
first_level: 0
last_level: 4
down_ratio: 4
dcn_v2: False
CenterNetHead:
head_planes: 256
regress_ltrb: False
CenterNetPostProcess:
max_per_img: 100
regress_ltrb: False

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worker_num: 4
TrainReader:
inputs_def:
image_shape: [3, 512, 512]
sample_transforms:
- Decode: {}
- FlipWarpAffine: {keep_res: False, input_h: 512, input_w: 512, use_random: True}
- CenterRandColor: {}
- Lighting: {eigval: [0.2141788, 0.01817699, 0.00341571], eigvec: [[-0.58752847, -0.69563484, 0.41340352], [-0.5832747, 0.00994535, -0.81221408], [-0.56089297, 0.71832671, 0.41158938]]}
- NormalizeImage: {mean: [0.40789655, 0.44719303, 0.47026116], std: [0.2886383 , 0.27408165, 0.27809834], is_scale: False}
- Permute: {}
- Gt2CenterNetTarget: {down_ratio: 4, max_objs: 128}
batch_size: 16
shuffle: True
drop_last: True
use_shared_memory: True
EvalReader:
sample_transforms:
- Decode: {}
- WarpAffine: {keep_res: True, input_h: 512, input_w: 512}
- NormalizeImage: {mean: [0.40789655, 0.44719303, 0.47026116], std: [0.2886383 , 0.27408165, 0.27809834]}
- Permute: {}
batch_size: 1
TestReader:
inputs_def:
image_shape: [3, 512, 512]
sample_transforms:
- Decode: {}
- WarpAffine: {keep_res: True, input_h: 512, input_w: 512}
- NormalizeImage: {mean: [0.40789655, 0.44719303, 0.47026116], std: [0.2886383 , 0.27408165, 0.27809834], is_scale: True}
- Permute: {}
batch_size: 1

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epoch: 140
LearningRate:
base_lr: 0.0005
schedulers:
- !PiecewiseDecay
gamma: 0.1
milestones: [90, 120]
use_warmup: False
OptimizerBuilder:
optimizer:
type: Adam
regularizer: NULL