Upload 3 files
Browse files- _base_satrn_shallow_concat.py +364 -0
- dict1700.txt +148 -0
- epoch_5 (1).pth +3 -0
_base_satrn_shallow_concat.py
ADDED
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1 |
+
default_scope = 'mmocr'
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2 |
+
env_cfg = dict(
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3 |
+
cudnn_benchmark=True,
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4 |
+
mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0),
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5 |
+
dist_cfg=dict(backend='nccl'))
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6 |
+
randomness = dict(seed=None)
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7 |
+
default_hooks = dict(
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8 |
+
timer=dict(type='IterTimerHook'),
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9 |
+
logger=dict(type='LoggerHook', interval=100),
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10 |
+
param_scheduler=dict(type='ParamSchedulerHook'),
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11 |
+
checkpoint=dict(type='CheckpointHook', interval=1),
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12 |
+
sampler_seed=dict(type='DistSamplerSeedHook'),
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13 |
+
sync_buffer=dict(type='SyncBuffersHook'),
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14 |
+
visualization=dict(
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15 |
+
type='VisualizationHook',
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16 |
+
interval=1,
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17 |
+
enable=False,
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18 |
+
show=False,
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19 |
+
draw_gt=False,
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20 |
+
draw_pred=False))
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21 |
+
log_level = 'INFO'
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22 |
+
log_processor = dict(type='LogProcessor', window_size=10, by_epoch=True)
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23 |
+
load_from = './epoch_5.pth'
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24 |
+
resume = False
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25 |
+
val_evaluator = dict(
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26 |
+
type='Evaluator',
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27 |
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metrics=[
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28 |
+
dict(
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+
type='WordMetric',
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30 |
+
mode=['exact', 'ignore_case', 'ignore_case_symbol'],
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31 |
+
valid_symbol='[^A-Z^a-z^0-9^一-龥^å^ä^ö^Å^Ä^Ö]'),
|
32 |
+
dict(type='CharMetric', valid_symbol='[^A-Z^a-z^0-9^一-龥^å^ä^ö^Å^Ä^Ö]'),
|
33 |
+
dict(
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34 |
+
type='OneMinusNEDMetric',
|
35 |
+
valid_symbol='[^A-Z^a-z^0-9^一-龥^å^ä^ö^Å^Ä^Ö]')
|
36 |
+
])
|
37 |
+
test_evaluator = dict(
|
38 |
+
type='Evaluator',
|
39 |
+
metrics=[
|
40 |
+
dict(
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41 |
+
type='WordMetric',
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42 |
+
mode=['exact', 'ignore_case', 'ignore_case_symbol'],
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43 |
+
valid_symbol='[^A-Z^a-z^0-9^一-龥^å^ä^ö^Å^Ä^Ö]'),
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44 |
+
dict(type='CharMetric', valid_symbol='[^A-Z^a-z^0-9^一-龥^å^ä^ö^Å^Ä^Ö]'),
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45 |
+
dict(
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46 |
+
type='OneMinusNEDMetric',
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47 |
+
valid_symbol='[^A-Z^a-z^0-9^一-龥^å^ä^ö^Å^Ä^Ö]')
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48 |
+
])
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49 |
+
vis_backends = [dict(type='LocalVisBackend')]
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50 |
+
visualizer = dict(
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51 |
+
type='TextRecogLocalVisualizer',
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52 |
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name='visualizer',
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53 |
+
vis_backends=[dict(type='TensorboardVisBackend')])
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54 |
+
optim_wrapper = dict(
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55 |
+
type='OptimWrapper', optimizer=dict(type='Adam', lr=0.0003))
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56 |
+
train_cfg = dict(type='EpochBasedTrainLoop', max_epochs=5, val_interval=1)
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57 |
+
val_cfg = dict(type='ValLoop')
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58 |
+
test_cfg = dict(type='TestLoop')
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59 |
+
param_scheduler = [dict(type='MultiStepLR', milestones=[3, 4], end=5)]
|
60 |
+
file_client_args = dict(backend='disk')
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61 |
+
dictionary = dict(
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62 |
+
type='Dictionary',
|
63 |
+
dict_file=
|
64 |
+
'./models--Riksarkivet--HTR_pipeline_models/snapshots/296681baf68583f07e89b5fed08136b77e3904cd/SATRN/dict1700.txt',
|
65 |
+
with_padding=True,
|
66 |
+
with_unknown=True,
|
67 |
+
same_start_end=True,
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68 |
+
with_start=True,
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69 |
+
with_end=True)
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70 |
+
model = dict(
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71 |
+
type='SATRN',
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72 |
+
backbone=dict(type='ShallowCNN', input_channels=3, hidden_dim=512),
|
73 |
+
encoder=dict(
|
74 |
+
type='SATRNEncoder',
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75 |
+
n_layers=12,
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76 |
+
n_head=8,
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77 |
+
d_k=64,
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78 |
+
d_v=64,
|
79 |
+
d_model=512,
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80 |
+
n_position=100,
|
81 |
+
d_inner=2048,
|
82 |
+
dropout=0.1),
|
83 |
+
decoder=dict(
|
84 |
+
type='NRTRDecoder',
|
85 |
+
n_layers=6,
|
86 |
+
d_embedding=512,
|
87 |
+
n_head=8,
|
88 |
+
d_model=512,
|
89 |
+
d_inner=2048,
|
90 |
+
d_k=64,
|
91 |
+
d_v=64,
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92 |
+
module_loss=dict(
|
93 |
+
type='CEModuleLoss', flatten=True, ignore_first_char=True),
|
94 |
+
dictionary=dict(
|
95 |
+
type='Dictionary',
|
96 |
+
dict_file=
|
97 |
+
'./models--Riksarkivet--HTR_pipeline_models/snapshots/296681baf68583f07e89b5fed08136b77e3904cd/SATRN/dict1700.txt',
|
98 |
+
with_padding=True,
|
99 |
+
with_unknown=True,
|
100 |
+
same_start_end=True,
|
101 |
+
with_start=True,
|
102 |
+
with_end=True),
|
103 |
+
max_seq_len=100,
|
104 |
+
postprocessor=dict(type='AttentionPostprocessor')),
|
105 |
+
data_preprocessor=dict(
|
106 |
+
type='TextRecogDataPreprocessor',
|
107 |
+
mean=[123.675, 116.28, 103.53],
|
108 |
+
std=[58.395, 57.12, 57.375]))
|
109 |
+
train_pipeline = [
|
110 |
+
dict(
|
111 |
+
type='LoadImageFromFile',
|
112 |
+
file_client_args=dict(backend='disk'),
|
113 |
+
ignore_empty=True,
|
114 |
+
min_size=2),
|
115 |
+
dict(type='LoadOCRAnnotations', with_text=True),
|
116 |
+
dict(type='Resize', scale=(400, 64), keep_ratio=False),
|
117 |
+
dict(
|
118 |
+
type='PackTextRecogInputs',
|
119 |
+
meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio'))
|
120 |
+
]
|
121 |
+
test_pipeline = [
|
122 |
+
dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')),
|
123 |
+
dict(type='Resize', scale=(400, 64), keep_ratio=False),
|
124 |
+
dict(type='LoadOCRAnnotations', with_text=True),
|
125 |
+
dict(
|
126 |
+
type='PackTextRecogInputs',
|
127 |
+
meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio'))
|
128 |
+
]
|
129 |
+
HTR_1700_combined_train = dict(
|
130 |
+
type='RecogTextDataset',
|
131 |
+
parser_cfg=dict(type='LineJsonParser', keys=['filename', 'text']),
|
132 |
+
data_root='/ceph/hpc/scratch/user/euerikl/data/HTR_1700_clean',
|
133 |
+
ann_file=
|
134 |
+
'/ceph/hpc/home/euerikl/projects/hf_openmmlab_models/data/processed/1700_HTR_shuffled_train.jsonl',
|
135 |
+
test_mode=False,
|
136 |
+
pipeline=None)
|
137 |
+
HTR_1700_combined_test = dict(
|
138 |
+
type='RecogTextDataset',
|
139 |
+
parser_cfg=dict(type='LineJsonParser', keys=['filename', 'text']),
|
140 |
+
data_root='/ceph/hpc/scratch/user/euerikl/data/HTR_1700_clean',
|
141 |
+
ann_file=
|
142 |
+
'/ceph/hpc/home/euerikl/projects/hf_openmmlab_models/data/processed/1700_HTR_shuffled_val.jsonl',
|
143 |
+
test_mode=True,
|
144 |
+
pipeline=None)
|
145 |
+
pr_cr_combined_train = dict(
|
146 |
+
type='RecogTextDataset',
|
147 |
+
parser_cfg=dict(
|
148 |
+
type='LineStrParser', keys=['filename', 'text'], separator='|'),
|
149 |
+
data_root='/ceph/hpc/scratch/user/euerikl/data/line_images',
|
150 |
+
ann_file=
|
151 |
+
'/ceph/hpc/home/euerikl/projects/htr_1800/gt_files/combined_train.txt',
|
152 |
+
test_mode=False,
|
153 |
+
pipeline=None)
|
154 |
+
pr_cr_combined_test = dict(
|
155 |
+
type='RecogTextDataset',
|
156 |
+
parser_cfg=dict(
|
157 |
+
type='LineStrParser', keys=['filename', 'text'], separator='|'),
|
158 |
+
data_root='/ceph/hpc/scratch/user/euerikl/data/line_images',
|
159 |
+
ann_file=
|
160 |
+
'/ceph/hpc/home/euerikl/projects/htr_1800/gt_files/combined_eval.txt',
|
161 |
+
test_mode=True,
|
162 |
+
pipeline=None)
|
163 |
+
out_of_domain_1700_all_test = dict(
|
164 |
+
type='RecogTextDataset',
|
165 |
+
parser_cfg=dict(type='LineJsonParser', keys=['filename', 'text']),
|
166 |
+
data_root='/ceph/hpc/scratch/user/euerikl/data/HTR_1700_testsets_clean',
|
167 |
+
ann_file=
|
168 |
+
'/ceph/hpc/home/euerikl/projects/hf_openmmlab_models/data/processed/1700_testsets_gt/1700_HTR_testsets_all.jsonl',
|
169 |
+
test_mode=True,
|
170 |
+
pipeline=None)
|
171 |
+
train_list = [
|
172 |
+
dict(
|
173 |
+
type='RecogTextDataset',
|
174 |
+
parser_cfg=dict(type='LineJsonParser', keys=['filename', 'text']),
|
175 |
+
data_root='/ceph/hpc/scratch/user/euerikl/data/HTR_1700_clean',
|
176 |
+
ann_file=
|
177 |
+
'/ceph/hpc/home/euerikl/projects/hf_openmmlab_models/data/processed/1700_HTR_shuffled_train.jsonl',
|
178 |
+
test_mode=False,
|
179 |
+
pipeline=None),
|
180 |
+
dict(
|
181 |
+
type='RecogTextDataset',
|
182 |
+
parser_cfg=dict(
|
183 |
+
type='LineStrParser', keys=['filename', 'text'], separator='|'),
|
184 |
+
data_root='/ceph/hpc/scratch/user/euerikl/data/line_images',
|
185 |
+
ann_file=
|
186 |
+
'/ceph/hpc/home/euerikl/projects/htr_1800/gt_files/combined_train.txt',
|
187 |
+
test_mode=False,
|
188 |
+
pipeline=None)
|
189 |
+
]
|
190 |
+
test_list = [
|
191 |
+
dict(
|
192 |
+
type='RecogTextDataset',
|
193 |
+
parser_cfg=dict(type='LineJsonParser', keys=['filename', 'text']),
|
194 |
+
data_root='/ceph/hpc/scratch/user/euerikl/data/HTR_1700_testsets_clean',
|
195 |
+
ann_file=
|
196 |
+
'/ceph/hpc/home/euerikl/projects/hf_openmmlab_models/data/processed/1700_testsets_gt/1700_HTR_testsets_all.jsonl',
|
197 |
+
test_mode=True,
|
198 |
+
pipeline=None)
|
199 |
+
]
|
200 |
+
train_dataset = dict(
|
201 |
+
type='ConcatDataset',
|
202 |
+
datasets=[
|
203 |
+
dict(
|
204 |
+
type='RecogTextDataset',
|
205 |
+
parser_cfg=dict(type='LineJsonParser', keys=['filename', 'text']),
|
206 |
+
data_root='/ceph/hpc/scratch/user/euerikl/data/HTR_1700_clean',
|
207 |
+
ann_file=
|
208 |
+
'/ceph/hpc/home/euerikl/projects/hf_openmmlab_models/data/processed/1700_HTR_shuffled_train.jsonl',
|
209 |
+
test_mode=False,
|
210 |
+
pipeline=None),
|
211 |
+
dict(
|
212 |
+
type='RecogTextDataset',
|
213 |
+
parser_cfg=dict(
|
214 |
+
type='LineStrParser', keys=['filename', 'text'],
|
215 |
+
separator='|'),
|
216 |
+
data_root='/ceph/hpc/scratch/user/euerikl/data/line_images',
|
217 |
+
ann_file=
|
218 |
+
'/ceph/hpc/home/euerikl/projects/htr_1800/gt_files/combined_train.txt',
|
219 |
+
test_mode=False,
|
220 |
+
pipeline=None)
|
221 |
+
],
|
222 |
+
pipeline=[
|
223 |
+
dict(
|
224 |
+
type='LoadImageFromFile',
|
225 |
+
file_client_args=dict(backend='disk'),
|
226 |
+
ignore_empty=True,
|
227 |
+
min_size=2),
|
228 |
+
dict(type='LoadOCRAnnotations', with_text=True),
|
229 |
+
dict(type='Resize', scale=(400, 64), keep_ratio=False),
|
230 |
+
dict(
|
231 |
+
type='PackTextRecogInputs',
|
232 |
+
meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio'))
|
233 |
+
])
|
234 |
+
test_dataset = dict(
|
235 |
+
type='ConcatDataset',
|
236 |
+
datasets=[
|
237 |
+
dict(
|
238 |
+
type='RecogTextDataset',
|
239 |
+
parser_cfg=dict(type='LineJsonParser', keys=['filename', 'text']),
|
240 |
+
data_root=
|
241 |
+
'/ceph/hpc/scratch/user/euerikl/data/HTR_1700_testsets_clean',
|
242 |
+
ann_file=
|
243 |
+
'/ceph/hpc/home/euerikl/projects/hf_openmmlab_models/data/processed/1700_testsets_gt/1700_HTR_testsets_all.jsonl',
|
244 |
+
test_mode=True,
|
245 |
+
pipeline=None)
|
246 |
+
],
|
247 |
+
pipeline=[
|
248 |
+
dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')),
|
249 |
+
dict(type='Resize', scale=(400, 64), keep_ratio=False),
|
250 |
+
dict(type='LoadOCRAnnotations', with_text=True),
|
251 |
+
dict(
|
252 |
+
type='PackTextRecogInputs',
|
253 |
+
meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio'))
|
254 |
+
])
|
255 |
+
train_dataloader = dict(
|
256 |
+
batch_size=8,
|
257 |
+
num_workers=1,
|
258 |
+
persistent_workers=True,
|
259 |
+
sampler=dict(type='DefaultSampler', shuffle=True),
|
260 |
+
dataset=dict(
|
261 |
+
type='ConcatDataset',
|
262 |
+
datasets=[
|
263 |
+
dict(
|
264 |
+
type='RecogTextDataset',
|
265 |
+
parser_cfg=dict(
|
266 |
+
type='LineJsonParser', keys=['filename', 'text']),
|
267 |
+
data_root='/ceph/hpc/scratch/user/euerikl/data/HTR_1700_clean',
|
268 |
+
ann_file=
|
269 |
+
'/ceph/hpc/home/euerikl/projects/hf_openmmlab_models/data/processed/1700_HTR_shuffled_train.jsonl',
|
270 |
+
test_mode=False,
|
271 |
+
pipeline=None),
|
272 |
+
dict(
|
273 |
+
type='RecogTextDataset',
|
274 |
+
parser_cfg=dict(
|
275 |
+
type='LineStrParser',
|
276 |
+
keys=['filename', 'text'],
|
277 |
+
separator='|'),
|
278 |
+
data_root='/ceph/hpc/scratch/user/euerikl/data/line_images',
|
279 |
+
ann_file=
|
280 |
+
'/ceph/hpc/home/euerikl/projects/htr_1800/gt_files/combined_train.txt',
|
281 |
+
test_mode=False,
|
282 |
+
pipeline=None)
|
283 |
+
],
|
284 |
+
pipeline=[
|
285 |
+
dict(
|
286 |
+
type='LoadImageFromFile',
|
287 |
+
file_client_args=dict(backend='disk'),
|
288 |
+
ignore_empty=True,
|
289 |
+
min_size=2),
|
290 |
+
dict(type='LoadOCRAnnotations', with_text=True),
|
291 |
+
dict(type='Resize', scale=(400, 64), keep_ratio=False),
|
292 |
+
dict(
|
293 |
+
type='PackTextRecogInputs',
|
294 |
+
meta_keys=('img_path', 'ori_shape', 'img_shape',
|
295 |
+
'valid_ratio'))
|
296 |
+
]))
|
297 |
+
test_dataloader = dict(
|
298 |
+
batch_size=8,
|
299 |
+
num_workers=1,
|
300 |
+
persistent_workers=True,
|
301 |
+
drop_last=False,
|
302 |
+
sampler=dict(type='DefaultSampler', shuffle=False),
|
303 |
+
dataset=dict(
|
304 |
+
type='ConcatDataset',
|
305 |
+
datasets=[
|
306 |
+
dict(
|
307 |
+
type='RecogTextDataset',
|
308 |
+
parser_cfg=dict(
|
309 |
+
type='LineJsonParser', keys=['filename', 'text']),
|
310 |
+
data_root=
|
311 |
+
'/ceph/hpc/scratch/user/euerikl/data/HTR_1700_testsets_clean',
|
312 |
+
ann_file=
|
313 |
+
'/ceph/hpc/home/euerikl/projects/hf_openmmlab_models/data/processed/1700_testsets_gt/1700_HTR_testsets_all.jsonl',
|
314 |
+
test_mode=True,
|
315 |
+
pipeline=None)
|
316 |
+
],
|
317 |
+
pipeline=[
|
318 |
+
dict(
|
319 |
+
type='LoadImageFromFile',
|
320 |
+
file_client_args=dict(backend='disk')),
|
321 |
+
dict(type='Resize', scale=(400, 64), keep_ratio=False),
|
322 |
+
dict(type='LoadOCRAnnotations', with_text=True),
|
323 |
+
dict(
|
324 |
+
type='PackTextRecogInputs',
|
325 |
+
meta_keys=('img_path', 'ori_shape', 'img_shape',
|
326 |
+
'valid_ratio'))
|
327 |
+
]))
|
328 |
+
val_dataloader = dict(
|
329 |
+
batch_size=8,
|
330 |
+
num_workers=1,
|
331 |
+
persistent_workers=True,
|
332 |
+
drop_last=False,
|
333 |
+
sampler=dict(type='DefaultSampler', shuffle=False),
|
334 |
+
dataset=dict(
|
335 |
+
type='ConcatDataset',
|
336 |
+
datasets=[
|
337 |
+
dict(
|
338 |
+
type='RecogTextDataset',
|
339 |
+
parser_cfg=dict(
|
340 |
+
type='LineJsonParser', keys=['filename', 'text']),
|
341 |
+
data_root=
|
342 |
+
'/ceph/hpc/scratch/user/euerikl/data/HTR_1700_testsets_clean',
|
343 |
+
ann_file=
|
344 |
+
'/ceph/hpc/home/euerikl/projects/hf_openmmlab_models/data/processed/1700_testsets_gt/1700_HTR_testsets_all.jsonl',
|
345 |
+
test_mode=True,
|
346 |
+
pipeline=None)
|
347 |
+
],
|
348 |
+
pipeline=[
|
349 |
+
dict(
|
350 |
+
type='LoadImageFromFile',
|
351 |
+
file_client_args=dict(backend='disk')),
|
352 |
+
dict(type='Resize', scale=(400, 64), keep_ratio=False),
|
353 |
+
dict(type='LoadOCRAnnotations', with_text=True),
|
354 |
+
dict(
|
355 |
+
type='PackTextRecogInputs',
|
356 |
+
meta_keys=('img_path', 'ori_shape', 'img_shape',
|
357 |
+
'valid_ratio'))
|
358 |
+
]))
|
359 |
+
gpu_ids = range(0, 4)
|
360 |
+
cudnn_benchmark = True
|
361 |
+
work_dir = '/ceph/hpc/home/euerikl/projects/hf_openmmlab_models/models/checkpoints/1700_1800_combined_satrn'
|
362 |
+
checkpoint_config = dict(interval=1)
|
363 |
+
auto_scale_lr = dict(base_batch_size=32)
|
364 |
+
launcher = 'pytorch'
|
dict1700.txt
ADDED
@@ -0,0 +1,148 @@
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+
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|
3 |
+
!
|
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"
|
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#
|
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|
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&
|
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+
'
|
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(
|
10 |
+
)
|
11 |
+
*
|
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+
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|
13 |
+
,
|
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+
-
|
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+
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|
16 |
+
/
|
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0
|
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1
|
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|
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|
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|
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|
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|
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|
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|
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:
|
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+
;
|
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+
<
|
30 |
+
=
|
31 |
+
?
|
32 |
+
A
|
33 |
+
B
|
34 |
+
C
|
35 |
+
D
|
36 |
+
E
|
37 |
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F
|
38 |
+
G
|
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+
H
|
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+
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|
41 |
+
J
|
42 |
+
K
|
43 |
+
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|
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+
M
|
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N
|
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O
|
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+
P
|
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|
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|
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S
|
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T
|
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|
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|
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+
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|
55 |
+
X
|
56 |
+
Y
|
57 |
+
Z
|
58 |
+
[
|
59 |
+
\
|
60 |
+
]
|
61 |
+
_
|
62 |
+
a
|
63 |
+
b
|
64 |
+
c
|
65 |
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d
|
66 |
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e
|
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|
68 |
+
g
|
69 |
+
h
|
70 |
+
i
|
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+
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|
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+
k
|
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+
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|
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+
m
|
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+
n
|
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o
|
77 |
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p
|
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+
q
|
79 |
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r
|
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s
|
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+
t
|
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u
|
83 |
+
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|
84 |
+
w
|
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+
x
|
86 |
+
y
|
87 |
+
z
|
88 |
+
{
|
89 |
+
|
|
90 |
+
}
|
91 |
+
~
|
92 |
+
£
|
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§
|
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¨
|
95 |
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¬
|
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¼
|
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½
|
98 |
+
¾
|
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+
Ä
|
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+
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|
101 |
+
Ö
|
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+
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|
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+
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|
104 |
+
à
|
105 |
+
á
|
106 |
+
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|
107 |
+
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|
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+
æ
|
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|
110 |
+
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|
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+
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|
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|
113 |
+
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|
114 |
+
ï
|
115 |
+
ô
|
116 |
+
ö
|
117 |
+
ü
|
118 |
+
ý
|
119 |
+
ÿ
|
120 |
+
œ
|
121 |
+
ƒ
|
122 |
+
̄
|
123 |
+
̅
|
124 |
+
Ψ
|
125 |
+
β
|
126 |
+
ӕ
|
127 |
+
َ
|
128 |
+
–
|
129 |
+
—
|
130 |
+
„
|
131 |
+
…
|
132 |
+
⁒
|
133 |
+
⁓
|
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+
℔
|
135 |
+
⅓
|
136 |
+
⅔
|
137 |
+
□
|
138 |
+
☉
|
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☽
|
140 |
+
☿
|
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+
♀
|
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+
♂
|
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+
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|
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+
♄
|
145 |
+
⦂
|
146 |
+
ꜳ
|
147 |
+
🜍
|
148 |
+
🜔
|
epoch_5 (1).pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f33697ee5e56fb8357fe0d759e168123e43cd2d48d87c2ef4413cdb84bf668cc
|
3 |
+
size 800082032
|