mirror of
https://github.com/open-mmlab/mmdeploy.git
synced 2025-01-14 08:09:43 +08:00
a2f82874bb
* init * update UT * fix UT except SAR * update to latest 2.0 * fix ncnn UT * export info
65 lines
2.0 KiB
Python
Executable File
65 lines
2.0 KiB
Python
Executable File
# Copyright (c) OpenMMLab. All rights reserved.
|
|
model = dict(
|
|
type='mmocr.DBNet',
|
|
backbone=dict(
|
|
type='mmdet.ResNet',
|
|
depth=18,
|
|
num_stages=4,
|
|
out_indices=(0, 1, 2, 3),
|
|
frozen_stages=-1,
|
|
norm_cfg=dict(type='BN', requires_grad=True),
|
|
init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet18'),
|
|
norm_eval=False,
|
|
style='caffe'),
|
|
neck=dict(
|
|
type='FPNC', in_channels=[64, 128, 256, 512], lateral_channels=256),
|
|
det_head=dict(
|
|
type='DBHead',
|
|
in_channels=256,
|
|
module_loss=dict(type='DBModuleLoss'),
|
|
postprocessor=dict(type='DBPostprocessor', text_repr_type='quad')),
|
|
data_preprocessor=dict(
|
|
type='mmocr.TextDetDataPreprocessor',
|
|
mean=[123.675, 116.28, 103.53],
|
|
std=[58.395, 57.12, 57.375],
|
|
bgr_to_rgb=True,
|
|
pad_size_divisor=32))
|
|
|
|
dataset_type = 'IcdarDataset'
|
|
data_root = 'tests/test_codebase/test_mmocr/data'
|
|
img_norm_cfg = dict(
|
|
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
|
|
|
|
test_pipeline = [
|
|
dict(
|
|
type='PackTextDetInputs',
|
|
meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor'))
|
|
]
|
|
|
|
test_dataloader = dict(
|
|
batch_size=16,
|
|
num_workers=8,
|
|
persistent_workers=True,
|
|
sampler=dict(type='DefaultSampler', shuffle=False),
|
|
dataset=dict(
|
|
type='ConcatDataset',
|
|
datasets=[
|
|
dict(
|
|
type='OCRDataset',
|
|
data_root='data/det/icdar2015',
|
|
ann_file='instances_test.json',
|
|
data_prefix=dict(img_path='imgs/'),
|
|
test_mode=True,
|
|
pipeline=None)
|
|
],
|
|
pipeline=[
|
|
dict(type='Resize', scale=(1333, 736), keep_ratio=True),
|
|
dict(
|
|
type='mmocr.PackTextDetInputs',
|
|
meta_keys=('ori_shape', 'img_shape', 'scale_factor',
|
|
'instances'))
|
|
]))
|
|
|
|
visualizer = dict(type='TextDetLocalVisualizer', name='visualizer')
|
|
default_scope = 'mmocr'
|