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Commit e296a968 authored by WenmuZhou's avatar WenmuZhou
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Merge remote-tracking branch 'origin/android_demo' into android_demo

parents 8601b8e9 2f2d152c
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Showing with 11602 additions and 11137 deletions
MANIFEST.in
View file @ e296a968
...@@ -4,4 +4,5 @@ include README.md ...@@ -4,4 +4,5 @@ include README.md
recursive-include ppocr/utils *.txt utility.py logging.py recursive-include ppocr/utils *.txt utility.py logging.py
recursive-include ppocr/data/ *.py recursive-include ppocr/data/ *.py
recursive-include ppocr/postprocess *.py recursive-include ppocr/postprocess *.py
recursive-include tools/infer *.py recursive-include tools/infer *.py
\ No newline at end of file recursive-include ppocr/utils/e2e_utils/ *.py
\ No newline at end of file
PPOCRLabel/PPOCRLabel.py
View file @ e296a968
...@@ -147,6 +147,7 @@ class MainWindow(QMainWindow, WindowMixin): ...@@ -147,6 +147,7 @@ class MainWindow(QMainWindow, WindowMixin):
self.itemsToShapesbox = {} self.itemsToShapesbox = {}
self.shapesToItemsbox = {} self.shapesToItemsbox = {}
self.prevLabelText = getStr('tempLabel') self.prevLabelText = getStr('tempLabel')
self.noLabelText = getStr('nullLabel')
self.model = 'paddle' self.model = 'paddle'
self.PPreader = None self.PPreader = None
self.autoSaveNum = 5 self.autoSaveNum = 5
...@@ -1020,7 +1021,7 @@ class MainWindow(QMainWindow, WindowMixin): ...@@ -1020,7 +1021,7 @@ class MainWindow(QMainWindow, WindowMixin):
item.setText(str([(int(p.x()), int(p.y())) for p in shape.points])) item.setText(str([(int(p.x()), int(p.y())) for p in shape.points]))
self.updateComboBox() self.updateComboBox()
def updateComboBox(self): # TODO：貌似没用 def updateComboBox(self):
# Get the unique labels and add them to the Combobox. # Get the unique labels and add them to the Combobox.
itemsTextList = [str(self.labelList.item(i).text()) for i in range(self.labelList.count())] itemsTextList = [str(self.labelList.item(i).text()) for i in range(self.labelList.count())]
...@@ -1040,7 +1041,7 @@ class MainWindow(QMainWindow, WindowMixin): ...@@ -1040,7 +1041,7 @@ class MainWindow(QMainWindow, WindowMixin):
return dict(label=s.label, # str return dict(label=s.label, # str
line_color=s.line_color.getRgb(), line_color=s.line_color.getRgb(),
fill_color=s.fill_color.getRgb(), fill_color=s.fill_color.getRgb(),
points=[(p.x(), p.y()) for p in s.points], # QPonitF points=[(int(p.x()), int(p.y())) for p in s.points], # QPonitF
# add chris # add chris
difficult=s.difficult) # bool difficult=s.difficult) # bool
...@@ -1069,7 +1070,7 @@ class MainWindow(QMainWindow, WindowMixin): ...@@ -1069,7 +1070,7 @@ class MainWindow(QMainWindow, WindowMixin):
# print('Image:{0} -> Annotation:{1}'.format(self.filePath, annotationFilePath)) # print('Image:{0} -> Annotation:{1}'.format(self.filePath, annotationFilePath))
return True return True
except: except:
self.errorMessage(u'Error saving label data') self.errorMessage(u'Error saving label data', u'Error saving label data')
return False return False
def copySelectedShape(self): def copySelectedShape(self):
...@@ -1802,10 +1803,14 @@ class MainWindow(QMainWindow, WindowMixin): ...@@ -1802,10 +1803,14 @@ class MainWindow(QMainWindow, WindowMixin):
result.insert(0, box) result.insert(0, box)
print('result in reRec is ', result) print('result in reRec is ', result)
self.result_dic.append(result) self.result_dic.append(result)
if result[1][0] == shape.label: else:
print('label no change') print('Can not recognise the box')
else: self.result_dic.append([box,(self.noLabelText,0)])
rec_flag += 1
if self.noLabelText == shape.label or result[1][0] == shape.label:
print('label no change')
else:
rec_flag += 1
if len(self.result_dic) > 0 and rec_flag > 0: if len(self.result_dic) > 0 and rec_flag > 0:
self.saveFile(mode='Auto') self.saveFile(mode='Auto')
...@@ -1836,9 +1841,14 @@ class MainWindow(QMainWindow, WindowMixin): ...@@ -1836,9 +1841,14 @@ class MainWindow(QMainWindow, WindowMixin):
print('label no change') print('label no change')
else: else:
shape.label = result[1][0] shape.label = result[1][0]
self.singleLabel(shape) else:
self.setDirty() print('Can not recognise the box')
print(box) if self.noLabelText == shape.label:
print('label no change')
else:
shape.label = self.noLabelText
self.singleLabel(shape)
self.setDirty()
def autolcm(self): def autolcm(self):
vbox = QVBoxLayout() vbox = QVBoxLayout()
......
PPOCRLabel/libs/canvas.py
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...@@ -45,7 +45,7 @@ class Canvas(QWidget): ...@@ -45,7 +45,7 @@ class Canvas(QWidget):
CREATE, EDIT = list(range(2)) CREATE, EDIT = list(range(2))
_fill_drawing = False # draw shadows _fill_drawing = False # draw shadows
epsilon = 11.0 epsilon = 5.0
def __init__(self, *args, **kwargs): def __init__(self, *args, **kwargs):
super(Canvas, self).__init__(*args, **kwargs) super(Canvas, self).__init__(*args, **kwargs)
......
PPOCRLabel/libs/resources.py
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This source diff could not be displayed because it is too large. You can view the blob instead.
PPOCRLabel/resources/strings/strings-zh-CN.properties
View file @ e296a968
...@@ -87,6 +87,7 @@ creatPolygon=四点标注 ...@@ -87,6 +87,7 @@ creatPolygon=四点标注
drawSquares=正方形标注 drawSquares=正方形标注
saveRec=保存识别结果 saveRec=保存识别结果
tempLabel=待识别 tempLabel=待识别
nullLabel=无法识别
steps=操作步骤 steps=操作步骤
choseModelLg=选择模型语言 choseModelLg=选择模型语言
cancel=取消 cancel=取消
......
PPOCRLabel/resources/strings/strings.properties
View file @ e296a968
...@@ -77,7 +77,7 @@ IR=Image Resize ...@@ -77,7 +77,7 @@ IR=Image Resize
autoRecognition=Auto Recognition autoRecognition=Auto Recognition
reRecognition=Re-recognition reRecognition=Re-recognition
mfile=File mfile=File
medit=Eidt medit=Edit
mview=View mview=View
mhelp=Help mhelp=Help
iconList=Icon List iconList=Icon List
...@@ -87,6 +87,7 @@ creatPolygon=Create Quadrilateral ...@@ -87,6 +87,7 @@ creatPolygon=Create Quadrilateral
drawSquares=Draw Squares drawSquares=Draw Squares
saveRec=Save Recognition Result saveRec=Save Recognition Result
tempLabel=TEMPORARY tempLabel=TEMPORARY
nullLabel=NULL
steps=Steps steps=Steps
choseModelLg=Choose Model Language choseModelLg=Choose Model Language
cancel=Cancel cancel=Cancel
......
README.md
View file @ e296a968
...@@ -32,7 +32,8 @@ PaddleOCR supports both dynamic graph and static graph programming paradigm ...@@ -32,7 +32,8 @@ PaddleOCR supports both dynamic graph and static graph programming paradigm
<div align="center"> <div align="center">
<img src="doc/imgs_results/ch_ppocr_mobile_v2.0/test_add_91.jpg" width="800"> <img src="doc/imgs_results/ch_ppocr_mobile_v2.0/test_add_91.jpg" width="800">
<img src="doc/imgs_results/ch_ppocr_mobile_v2.0/00018069.jpg" width="800"> <img src="doc/imgs_results/multi_lang/img_01.jpg" width="800">
<img src="doc/imgs_results/multi_lang/img_02.jpg" width="800">
</div> </div>
The above pictures are the visualizations of the general ppocr_server model. For more effect pictures, please see [More visualizations](./doc/doc_en/visualization_en.md). The above pictures are the visualizations of the general ppocr_server model. For more effect pictures, please see [More visualizations](./doc/doc_en/visualization_en.md).
......
configs/e2e/e2e_r50_vd_pg.yml
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...@@ -59,8 +59,10 @@ Optimizer: ...@@ -59,8 +59,10 @@ Optimizer:
PostProcess: PostProcess:
name: PGPostProcess name: PGPostProcess
score_thresh: 0.5 score_thresh: 0.5
mode: fast # fast or slow two ways
Metric: Metric:
name: E2EMetric name: E2EMetric
gt_mat_dir: # the dir of gt_mat
character_dict_path: ppocr/utils/ic15_dict.txt character_dict_path: ppocr/utils/ic15_dict.txt
main_indicator: f_score_e2e main_indicator: f_score_e2e
...@@ -106,7 +108,7 @@ Eval: ...@@ -106,7 +108,7 @@ Eval:
order: 'hwc' order: 'hwc'
- ToCHWImage: - ToCHWImage:
- KeepKeys: - KeepKeys:
keep_keys: [ 'image', 'shape', 'polys', 'strs', 'tags' ] keep_keys: [ 'image', 'shape', 'polys', 'strs', 'tags', 'img_id']
loader: loader:
shuffle: False shuffle: False
drop_last: False drop_last: False
......
configs/rec/multi_language/generate_multi_language_configs.py
View file @ e296a968
...@@ -19,21 +19,56 @@ import logging ...@@ -19,21 +19,56 @@ import logging
logging.basicConfig(level=logging.INFO) logging.basicConfig(level=logging.INFO)
support_list = { support_list = {
'it':'italian', 'xi':'spanish', 'pu':'portuguese', 'ru':'russian', 'ar':'arabic', 'it': 'italian',
'ta':'tamil', 'ug':'uyghur', 'fa':'persian', 'ur':'urdu', 'rs':'serbian latin', 'xi': 'spanish',
'oc':'occitan', 'rsc':'serbian cyrillic', 'bg':'bulgarian', 'uk':'ukranian', 'be':'belarusian', 'pu': 'portuguese',
'te':'telugu', 'ka':'kannada', 'chinese_cht':'chinese tradition','hi':'hindi','mr':'marathi', 'ru': 'russian',
'ne':'nepali', 'ar': 'arabic',
'ta': 'tamil',
'ug': 'uyghur',
'fa': 'persian',
'ur': 'urdu',
'rs': 'serbian latin',
'oc': 'occitan',
'rsc': 'serbian cyrillic',
'bg': 'bulgarian',
'uk': 'ukranian',
'be': 'belarusian',
'te': 'telugu',
'ka': 'kannada',
'chinese_cht': 'chinese tradition',
'hi': 'hindi',
'mr': 'marathi',
'ne': 'nepali',
} }
assert(
os.path.isfile("./rec_multi_language_lite_train.yml") latin_lang = [
),"Loss basic configuration file rec_multi_language_lite_train.yml.\ 'af', 'az', 'bs', 'cs', 'cy', 'da', 'de', 'es', 'et', 'fr', 'ga', 'hr',
'hu', 'id', 'is', 'it', 'ku', 'la', 'lt', 'lv', 'mi', 'ms', 'mt', 'nl',
'no', 'oc', 'pi', 'pl', 'pt', 'ro', 'rs_latin', 'sk', 'sl', 'sq', 'sv',
'sw', 'tl', 'tr', 'uz', 'vi', 'latin'
]
arabic_lang = ['ar', 'fa', 'ug', 'ur']
cyrillic_lang = [
'ru', 'rs_cyrillic', 'be', 'bg', 'uk', 'mn', 'abq', 'ady', 'kbd', 'ava',
'dar', 'inh', 'che', 'lbe', 'lez', 'tab', 'cyrillic'
]
devanagari_lang = [
'hi', 'mr', 'ne', 'bh', 'mai', 'ang', 'bho', 'mah', 'sck', 'new', 'gom',
'sa', 'bgc', 'devanagari'
]
multi_lang = latin_lang + arabic_lang + cyrillic_lang + devanagari_lang
assert (os.path.isfile("./rec_multi_language_lite_train.yml")
), "Loss basic configuration file rec_multi_language_lite_train.yml.\
You can download it from \ You can download it from \
https://github.com/PaddlePaddle/PaddleOCR/tree/dygraph/configs/rec/multi_language/" https://github.com/PaddlePaddle/PaddleOCR/tree/dygraph/configs/rec/multi_language/"
global_config = yaml.load(open("./rec_multi_language_lite_train.yml", 'rb'), Loader=yaml.Loader) global_config = yaml.load(
open("./rec_multi_language_lite_train.yml", 'rb'), Loader=yaml.Loader)
project_path = os.path.abspath(os.path.join(os.getcwd(), "../../../")) project_path = os.path.abspath(os.path.join(os.getcwd(), "../../../"))
class ArgsParser(ArgumentParser): class ArgsParser(ArgumentParser):
def __init__(self): def __init__(self):
super(ArgsParser, self).__init__( super(ArgsParser, self).__init__(
...@@ -41,15 +76,30 @@ class ArgsParser(ArgumentParser): ...@@ -41,15 +76,30 @@ class ArgsParser(ArgumentParser):
self.add_argument( self.add_argument(
"-o", "--opt", nargs='+', help="set configuration options") "-o", "--opt", nargs='+', help="set configuration options")
self.add_argument( self.add_argument(
"-l", "--language", nargs='+', help="set language type, support {}".format(support_list)) "-l",
"--language",
nargs='+',
help="set language type, support {}".format(support_list))
self.add_argument( self.add_argument(
"--train",type=str,help="you can use this command to change the train dataset default path") "--train",
type=str,
help="you can use this command to change the train dataset default path"
)
self.add_argument( self.add_argument(
"--val",type=str,help="you can use this command to change the eval dataset default path") "--val",
type=str,
help="you can use this command to change the eval dataset default path"
)
self.add_argument( self.add_argument(
"--dict",type=str,help="you can use this command to change the dictionary default path") "--dict",
type=str,
help="you can use this command to change the dictionary default path"
)
self.add_argument( self.add_argument(
"--data_dir",type=str,help="you can use this command to change the dataset default root path") "--data_dir",
type=str,
help="you can use this command to change the dataset default root path"
)
def parse_args(self, argv=None): def parse_args(self, argv=None):
args = super(ArgsParser, self).parse_args(argv) args = super(ArgsParser, self).parse_args(argv)
...@@ -68,21 +118,37 @@ class ArgsParser(ArgumentParser): ...@@ -68,21 +118,37 @@ class ArgsParser(ArgumentParser):
return config return config
def _set_language(self, type): def _set_language(self, type):
assert(type),"please use -l or --language to choose language type" lang = type[0]
assert (type), "please use -l or --language to choose language type"
assert( assert(
type[0] in support_list.keys() lang in support_list.keys() or lang in multi_lang
),"the sub_keys(-l or --language) can only be one of support list: \n{},\nbut get: {}, " \ ),"the sub_keys(-l or --language) can only be one of support list: \n{},\nbut get: {}, " \
"please check your running command".format(support_list, type) "please check your running command".format(multi_lang, type)
global_config['Global']['character_dict_path'] = 'ppocr/utils/dict/{}_dict.txt'.format(type[0]) if lang in latin_lang:
global_config['Global']['save_model_dir'] = './output/rec_{}_lite'.format(type[0]) lang = "latin"
global_config['Train']['dataset']['label_file_list'] = ["train_data/{}_train.txt".format(type[0])] elif lang in arabic_lang:
global_config['Eval']['dataset']['label_file_list'] = ["train_data/{}_val.txt".format(type[0])] lang = "arabic"
global_config['Global']['character_type'] = type[0] elif lang in cyrillic_lang:
assert( lang = "cyrillic"
os.path.isfile(os.path.join(project_path,global_config['Global']['character_dict_path'])) elif lang in devanagari_lang:
),"Loss default dictionary file {}_dict.txt.You can download it from \ lang = "devanagari"
https://github.com/PaddlePaddle/PaddleOCR/tree/dygraph/ppocr/utils/dict/".format(type[0]) global_config['Global'][
return type[0] 'character_dict_path'] = 'ppocr/utils/dict/{}_dict.txt'.format(lang)
global_config['Global'][
'save_model_dir'] = './output/rec_{}_lite'.format(lang)
global_config['Train']['dataset'][
'label_file_list'] = ["train_data/{}_train.txt".format(lang)]
global_config['Eval']['dataset'][
'label_file_list'] = ["train_data/{}_val.txt".format(lang)]
global_config['Global']['character_type'] = lang
assert (
os.path.isfile(
os.path.join(project_path, global_config['Global'][
'character_dict_path']))
), "Loss default dictionary file {}_dict.txt.You can download it from \
https://github.com/PaddlePaddle/PaddleOCR/tree/dygraph/ppocr/utils/dict/".format(
lang)
return lang
def merge_config(config): def merge_config(config):
...@@ -110,43 +176,51 @@ def merge_config(config): ...@@ -110,43 +176,51 @@ def merge_config(config):
cur[sub_key] = value cur[sub_key] = value
else: else:
cur = cur[sub_key] cur = cur[sub_key]
def loss_file(path): def loss_file(path):
assert( assert (
os.path.exists(path) os.path.exists(path)
),"There is no such file:{},Please do not forget to put in the specified file".format(path) ), "There is no such file:{},Please do not forget to put in the specified file".format(
path)
if __name__ == '__main__': if __name__ == '__main__':
FLAGS = ArgsParser().parse_args() FLAGS = ArgsParser().parse_args()
merge_config(FLAGS.opt) merge_config(FLAGS.opt)
save_file_path = 'rec_{}_lite_train.yml'.format(FLAGS.language) save_file_path = 'rec_{}_lite_train.yml'.format(FLAGS.language)
if os.path.isfile(save_file_path): if os.path.isfile(save_file_path):
os.remove(save_file_path) os.remove(save_file_path)
if FLAGS.train: if FLAGS.train:
global_config['Train']['dataset']['label_file_list'] = [FLAGS.train] global_config['Train']['dataset']['label_file_list'] = [FLAGS.train]
train_label_path = os.path.join(project_path,FLAGS.train) train_label_path = os.path.join(project_path, FLAGS.train)
loss_file(train_label_path) loss_file(train_label_path)
if FLAGS.val: if FLAGS.val:
global_config['Eval']['dataset']['label_file_list'] = [FLAGS.val] global_config['Eval']['dataset']['label_file_list'] = [FLAGS.val]
eval_label_path = os.path.join(project_path,FLAGS.val) eval_label_path = os.path.join(project_path, FLAGS.val)
loss_file(eval_label_path) loss_file(eval_label_path)
if FLAGS.dict: if FLAGS.dict:
global_config['Global']['character_dict_path'] = FLAGS.dict global_config['Global']['character_dict_path'] = FLAGS.dict
dict_path = os.path.join(project_path,FLAGS.dict) dict_path = os.path.join(project_path, FLAGS.dict)
loss_file(dict_path) loss_file(dict_path)
if FLAGS.data_dir: if FLAGS.data_dir:
global_config['Eval']['dataset']['data_dir'] = FLAGS.data_dir global_config['Eval']['dataset']['data_dir'] = FLAGS.data_dir
global_config['Train']['dataset']['data_dir'] = FLAGS.data_dir global_config['Train']['dataset']['data_dir'] = FLAGS.data_dir
data_dir = os.path.join(project_path,FLAGS.data_dir) data_dir = os.path.join(project_path, FLAGS.data_dir)
loss_file(data_dir) loss_file(data_dir)
with open(save_file_path, 'w') as f: with open(save_file_path, 'w') as f:
yaml.dump(dict(global_config), f, default_flow_style=False, sort_keys=False) yaml.dump(
dict(global_config), f, default_flow_style=False, sort_keys=False)
logging.info("Project path is :{}".format(project_path)) logging.info("Project path is :{}".format(project_path))
logging.info("Train list path set to :{}".format(global_config['Train']['dataset']['label_file_list'][0])) logging.info("Train list path set to :{}".format(global_config['Train'][
logging.info("Eval list path set to :{}".format(global_config['Eval']['dataset']['label_file_list'][0])) 'dataset']['label_file_list'][0]))
logging.info("Dataset root path set to :{}".format(global_config['Eval']['dataset']['data_dir'])) logging.info("Eval list path set to :{}".format(global_config['Eval'][
logging.info("Dict path set to :{}".format(global_config['Global']['character_dict_path'])) 'dataset']['label_file_list'][0]))
logging.info("Config file set to :configs/rec/multi_language/{}".format(save_file_path)) logging.info("Dataset root path set to :{}".format(global_config['Eval'][
'dataset']['data_dir']))
logging.info("Dict path set to :{}".format(global_config['Global'][
'character_dict_path']))
logging.info("Config file set to :configs/rec/multi_language/{}".
format(save_file_path))
configs/rec/multi_language/rec_arabic_lite_train.yml 0 → 100644
View file @ e296a968
Global:
use_gpu: true
epoch_num: 500
log_smooth_window: 20
print_batch_step: 10
save_model_dir: ./output/rec_arabic_lite
save_epoch_step: 3
eval_batch_step:
- 0
- 2000
cal_metric_during_train: true
pretrained_model: null
checkpoints: null
save_inference_dir: null
use_visualdl: false
infer_img: null
character_dict_path: ppocr/utils/dict/arabic_dict.txt
character_type: arabic
max_text_length: 25
infer_mode: false
use_space_char: true
Optimizer:
name: Adam
beta1: 0.9
beta2: 0.999
lr:
name: Cosine
learning_rate: 0.001
regularizer:
name: L2
factor: 1.0e-05
Architecture:
model_type: rec
algorithm: CRNN
Transform: null
Backbone:
name: MobileNetV3
scale: 0.5
model_name: small
small_stride:
- 1
- 2
- 2
- 2
Neck:
name: SequenceEncoder
encoder_type: rnn
hidden_size: 48
Head:
name: CTCHead
fc_decay: 1.0e-05
Loss:
name: CTCLoss
PostProcess:
name: CTCLabelDecode
Metric:
name: RecMetric
main_indicator: acc
Train:
dataset:
name: SimpleDataSet
data_dir: train_data/
label_file_list:
- train_data/arabic_train.txt
transforms:
- DecodeImage:
img_mode: BGR
channel_first: false
- RecAug: null
- CTCLabelEncode: null
- RecResizeImg:
image_shape:
- 3
- 32
- 320
- KeepKeys:
keep_keys:
- image
- label
- length
loader:
shuffle: true
batch_size_per_card: 256
drop_last: true
num_workers: 8
Eval:
dataset:
name: SimpleDataSet
data_dir: train_data/
label_file_list:
- train_data/arabic_val.txt
transforms:
- DecodeImage:
img_mode: BGR
channel_first: false
- CTCLabelEncode: null
- RecResizeImg:
image_shape:
- 3
- 32
- 320
- KeepKeys:
keep_keys:
- image
- label
- length
loader:
shuffle: false
drop_last: false
batch_size_per_card: 256
num_workers: 8
configs/rec/multi_language/rec_cyrillic_lite_train.yml 0 → 100644
View file @ e296a968
Global:
use_gpu: true
epoch_num: 500
log_smooth_window: 20
print_batch_step: 10
save_model_dir: ./output/rec_cyrillic_lite
save_epoch_step: 3
eval_batch_step:
- 0
- 2000
cal_metric_during_train: true
pretrained_model: null
checkpoints: null
save_inference_dir: null
use_visualdl: false
infer_img: null
character_dict_path: ppocr/utils/dict/cyrillic_dict.txt
character_type: cyrillic
max_text_length: 25
infer_mode: false
use_space_char: true
Optimizer:
name: Adam
beta1: 0.9
beta2: 0.999
lr:
name: Cosine
learning_rate: 0.001
regularizer:
name: L2
factor: 1.0e-05
Architecture:
model_type: rec
algorithm: CRNN
Transform: null
Backbone:
name: MobileNetV3
scale: 0.5
model_name: small
small_stride:
- 1
- 2
- 2
- 2
Neck:
name: SequenceEncoder
encoder_type: rnn
hidden_size: 48
Head:
name: CTCHead
fc_decay: 1.0e-05
Loss:
name: CTCLoss
PostProcess:
name: CTCLabelDecode
Metric:
name: RecMetric
main_indicator: acc
Train:
dataset:
name: SimpleDataSet
data_dir: train_data/
label_file_list:
- train_data/cyrillic_train.txt
transforms:
- DecodeImage:
img_mode: BGR
channel_first: false
- RecAug: null
- CTCLabelEncode: null
- RecResizeImg:
image_shape:
- 3
- 32
- 320
- KeepKeys:
keep_keys:
- image
- label
- length
loader:
shuffle: true
batch_size_per_card: 256
drop_last: true
num_workers: 8
Eval:
dataset:
name: SimpleDataSet
data_dir: train_data/
label_file_list:
- train_data/cyrillic_val.txt
transforms:
- DecodeImage:
img_mode: BGR
channel_first: false
- CTCLabelEncode: null
- RecResizeImg:
image_shape:
- 3
- 32
- 320
- KeepKeys:
keep_keys:
- image
- label
- length
loader:
shuffle: false
drop_last: false
batch_size_per_card: 256
num_workers: 8
configs/rec/multi_language/rec_devanagari_lite_train.yml 0 → 100644
View file @ e296a968
Global:
use_gpu: true
epoch_num: 500
log_smooth_window: 20
print_batch_step: 10
save_model_dir: ./output/rec_devanagari_lite
save_epoch_step: 3
eval_batch_step:
- 0
- 2000
cal_metric_during_train: true
pretrained_model: null
checkpoints: null
save_inference_dir: null
use_visualdl: false
infer_img: null
character_dict_path: ppocr/utils/dict/devanagari_dict.txt
character_type: devanagari
max_text_length: 25
infer_mode: false
use_space_char: true
Optimizer:
name: Adam
beta1: 0.9
beta2: 0.999
lr:
name: Cosine
learning_rate: 0.001
regularizer:
name: L2
factor: 1.0e-05
Architecture:
model_type: rec
algorithm: CRNN
Transform: null
Backbone:
name: MobileNetV3
scale: 0.5
model_name: small
small_stride:
- 1
- 2
- 2
- 2
Neck:
name: SequenceEncoder
encoder_type: rnn
hidden_size: 48
Head:
name: CTCHead
fc_decay: 1.0e-05
Loss:
name: CTCLoss
PostProcess:
name: CTCLabelDecode
Metric:
name: RecMetric
main_indicator: acc
Train:
dataset:
name: SimpleDataSet
data_dir: train_data/
label_file_list:
- train_data/devanagari_train.txt
transforms:
- DecodeImage:
img_mode: BGR
channel_first: false
- RecAug: null
- CTCLabelEncode: null
- RecResizeImg:
image_shape:
- 3
- 32
- 320
- KeepKeys:
keep_keys:
- image
- label
- length
loader:
shuffle: true
batch_size_per_card: 256
drop_last: true
num_workers: 8
Eval:
dataset:
name: SimpleDataSet
data_dir: train_data/
label_file_list:
- train_data/devanagari_val.txt
transforms:
- DecodeImage:
img_mode: BGR
channel_first: false
- CTCLabelEncode: null
- RecResizeImg:
image_shape:
- 3
- 32
- 320
- KeepKeys:
keep_keys:
- image
- label
- length
loader:
shuffle: false
drop_last: false
batch_size_per_card: 256
num_workers: 8
configs/rec/multi_language/rec_en_number_lite_train.yml
View file @ e296a968
...@@ -15,11 +15,11 @@ Global: ...@@ -15,11 +15,11 @@ Global:
use_visualdl: False use_visualdl: False
infer_img: infer_img:
# for data or label process # for data or label process
character_dict_path: ppocr/utils/dict/en_dict.txt character_dict_path: ppocr/utils/en_dict.txt
character_type: EN character_type: EN
max_text_length: 25 max_text_length: 25
infer_mode: False infer_mode: False
use_space_char: False use_space_char: True
Optimizer: Optimizer:
......
configs/rec/multi_language/rec_latin_lite_train.yml 0 → 100644
View file @ e296a968
Global:
use_gpu: true
epoch_num: 500
log_smooth_window: 20
print_batch_step: 10
save_model_dir: ./output/rec_latin_lite
save_epoch_step: 3
eval_batch_step:
- 0
- 2000
cal_metric_during_train: true
pretrained_model: null
checkpoints: null
save_inference_dir: null
use_visualdl: false
infer_img: null
character_dict_path: ppocr/utils/dict/latin_dict.txt
character_type: latin
max_text_length: 25
infer_mode: false
use_space_char: true
Optimizer:
name: Adam
beta1: 0.9
beta2: 0.999
lr:
name: Cosine
learning_rate: 0.001
regularizer:
name: L2
factor: 1.0e-05
Architecture:
model_type: rec
algorithm: CRNN
Transform: null
Backbone:
name: MobileNetV3
scale: 0.5
model_name: small
small_stride:
- 1
- 2
- 2
- 2
Neck:
name: SequenceEncoder
encoder_type: rnn
hidden_size: 48
Head:
name: CTCHead
fc_decay: 1.0e-05
Loss:
name: CTCLoss
PostProcess:
name: CTCLabelDecode
Metric:
name: RecMetric
main_indicator: acc
Train:
dataset:
name: SimpleDataSet
data_dir: train_data/
label_file_list:
- train_data/latin_train.txt
transforms:
- DecodeImage:
img_mode: BGR
channel_first: false
- RecAug: null
- CTCLabelEncode: null
- RecResizeImg:
image_shape:
- 3
- 32
- 320
- KeepKeys:
keep_keys:
- image
- label
- length
loader:
shuffle: true
batch_size_per_card: 256
drop_last: true
num_workers: 8
Eval:
dataset:
name: SimpleDataSet
data_dir: train_data/
label_file_list:
- train_data/latin_val.txt
transforms:
- DecodeImage:
img_mode: BGR
channel_first: false
- CTCLabelEncode: null
- RecResizeImg:
image_shape:
- 3
- 32
- 320
- KeepKeys:
keep_keys:
- image
- label
- length
loader:
shuffle: false
drop_last: false
batch_size_per_card: 256
num_workers: 8
deploy/cpp_infer/CMakeLists.txt
View file @ e296a968
...@@ -40,6 +40,7 @@ endif() ...@@ -40,6 +40,7 @@ endif()
if (WIN32) if (WIN32)
include_directories("${PADDLE_LIB}/paddle/fluid/inference") include_directories("${PADDLE_LIB}/paddle/fluid/inference")
include_directories("${PADDLE_LIB}/paddle/include") include_directories("${PADDLE_LIB}/paddle/include")
link_directories("${PADDLE_LIB}/paddle/lib")
link_directories("${PADDLE_LIB}/paddle/fluid/inference") link_directories("${PADDLE_LIB}/paddle/fluid/inference")
find_package(OpenCV REQUIRED PATHS ${OPENCV_DIR}/build/ NO_DEFAULT_PATH) find_package(OpenCV REQUIRED PATHS ${OPENCV_DIR}/build/ NO_DEFAULT_PATH)
...@@ -140,22 +141,22 @@ else() ...@@ -140,22 +141,22 @@ else()
endif () endif ()
endif() endif()
# Note: libpaddle_inference_api.so/a must put before libpaddle_fluid.so/a # Note: libpaddle_inference_api.so/a must put before libpaddle_inference.so/a
if(WITH_STATIC_LIB) if(WITH_STATIC_LIB)
if(WIN32) if(WIN32)
set(DEPS set(DEPS
${PADDLE_LIB}/paddle/lib/paddle_fluid${CMAKE_STATIC_LIBRARY_SUFFIX}) ${PADDLE_LIB}/paddle/lib/paddle_inference${CMAKE_STATIC_LIBRARY_SUFFIX})
else() else()
set(DEPS set(DEPS
${PADDLE_LIB}/paddle/lib/libpaddle_fluid${CMAKE_STATIC_LIBRARY_SUFFIX}) ${PADDLE_LIB}/paddle/lib/libpaddle_inference${CMAKE_STATIC_LIBRARY_SUFFIX})
endif() endif()
else() else()
if(WIN32) if(WIN32)
set(DEPS set(DEPS
${PADDLE_LIB}/paddle/lib/paddle_fluid${CMAKE_SHARED_LIBRARY_SUFFIX}) ${PADDLE_LIB}/paddle/lib/paddle_inference${CMAKE_SHARED_LIBRARY_SUFFIX})
else() else()
set(DEPS set(DEPS
${PADDLE_LIB}/paddle/lib/libpaddle_fluid${CMAKE_SHARED_LIBRARY_SUFFIX}) ${PADDLE_LIB}/paddle/lib/libpaddle_inference${CMAKE_SHARED_LIBRARY_SUFFIX})
endif() endif()
endif(WITH_STATIC_LIB) endif(WITH_STATIC_LIB)
......
deploy/cpp_infer/readme.md
View file @ e296a968
...@@ -74,9 +74,10 @@ opencv3/ ...@@ -74,9 +74,10 @@ opencv3/
* 有2种方式获取Paddle预测库，下面进行详细介绍。 * 有2种方式获取Paddle预测库，下面进行详细介绍。
#### 1.2.1 直接下载安装 #### 1.2.1 直接下载安装
* [Paddle预测库官网](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/guides/05_inference_deployment/inference/build_and_install_lib_cn.html)上提供了不同cuda版本的Linux预测库，可以在官网查看并选择合适的预测库版本。 * [Paddle预测库官网](https://www.paddlepaddle.org.cn/documentation/docs/zh/advanced_guide/inference_deployment/inference/build_and_install_lib_cn.html)上提供了不同cuda版本的Linux预测库，可以在官网查看并选择合适的预测库版本（*建议选择paddle版本>=2.0.1版本的预测库* ）。
* 下载之后使用下面的方法解压。 * 下载之后使用下面的方法解压。
...@@ -130,8 +131,6 @@ build/paddle_inference_install_dir/ ...@@ -130,8 +131,6 @@ build/paddle_inference_install_dir/
其中`paddle`就是C++预测所需的Paddle库，`version.txt`中包含当前预测库的版本信息。 其中`paddle`就是C++预测所需的Paddle库，`version.txt`中包含当前预测库的版本信息。
## 2 开始运行 ## 2 开始运行
### 2.1 将模型导出为inference model ### 2.1 将模型导出为inference model
...@@ -232,7 +231,7 @@ visualize 1 # 是否对结果进行可视化，为1时，会在当前文件夹 ...@@ -232,7 +231,7 @@ visualize 1 # 是否对结果进行可视化，为1时，会在当前文件夹
最终屏幕上会输出检测结果如下。 最终屏幕上会输出检测结果如下。
<div align="center"> <div align="center">
<img src="../imgs/cpp_infer_pred_12.png" width="600"> <img src="./imgs/cpp_infer_pred_12.png" width="600">
</div> </div>
......
deploy/cpp_infer/readme_en.md
View file @ e296a968
...@@ -91,8 +91,8 @@ tar -xf paddle_inference.tgz ...@@ -91,8 +91,8 @@ tar -xf paddle_inference.tgz
Finally you can see the following files in the folder of `paddle_inference/`. Finally you can see the following files in the folder of `paddle_inference/`.
#### 1.2.2 Compile from the source code #### 1.2.2 Compile from the source code
* If you want to get the latest Paddle inference library features, you can download the latest code from Paddle github repository and compile the inference library from the source code. * If you want to get the latest Paddle inference library features, you can download the latest code from Paddle github repository and compile the inference library from the source code. It is recommended to download the inference library with paddle version greater than or equal to 2.0.1.
* You can refer to [Paddle inference library] (https://www.paddlepaddle.org.cn/documentation/docs/en/develop/guides/05_inference_deployment/inference/build_and_install_lib_en.html) to get the Paddle source code from github, and then compile To generate the latest inference library. The method of using git to access the code is as follows. * You can refer to [Paddle inference library] (https://www.paddlepaddle.org.cn/documentation/docs/en/advanced_guide/inference_deployment/inference/build_and_install_lib_en.html) to get the Paddle source code from github, and then compile To generate the latest inference library. The method of using git to access the code is as follows.
```shell ```shell
...@@ -238,7 +238,7 @@ visualize 1 # Whether to visualize the results，when it is set as 1, The predic ...@@ -238,7 +238,7 @@ visualize 1 # Whether to visualize the results，when it is set as 1, The predic
The detection results will be shown on the screen, which is as follows. The detection results will be shown on the screen, which is as follows.
<div align="center"> <div align="center">
<img src="../imgs/cpp_infer_pred_12.png" width="600"> <img src="./imgs/cpp_infer_pred_12.png" width="600">
</div> </div>
......
doc/doc_ch/inference.md
View file @ e296a968
...@@ -13,7 +13,6 @@ inference 模型（`paddle.jit.save`保存的模型） ...@@ -13,7 +13,6 @@ inference 模型（`paddle.jit.save`保存的模型）
- [检测模型转inference模型](#检测模型转inference模型) - [检测模型转inference模型](#检测模型转inference模型)
- [识别模型转inference模型](#识别模型转inference模型) - [识别模型转inference模型](#识别模型转inference模型)
- [方向分类模型转inference模型](#方向分类模型转inference模型) - [方向分类模型转inference模型](#方向分类模型转inference模型)
- [端到端模型转inference模型](#端到端模型转inference模型)
- [二、文本检测模型推理](#文本检测模型推理) - [二、文本检测模型推理](#文本检测模型推理)
- [1. 超轻量中文检测模型推理](#超轻量中文检测模型推理) - [1. 超轻量中文检测模型推理](#超轻量中文检测模型推理)
...@@ -28,13 +27,10 @@ inference 模型（`paddle.jit.save`保存的模型） ...@@ -28,13 +27,10 @@ inference 模型（`paddle.jit.save`保存的模型）
- [4. 自定义文本识别字典的推理](#自定义文本识别字典的推理) - [4. 自定义文本识别字典的推理](#自定义文本识别字典的推理)
- [5. 多语言模型的推理](#多语言模型的推理) - [5. 多语言模型的推理](#多语言模型的推理)
- [四、端到端模型推理](#端到端模型推理) - [四、方向分类模型推理](#方向识别模型推理)
- [1. PGNet端到端模型推理](#PGNet端到端模型推理)
- [五、方向分类模型推理](#方向识别模型推理)
- [1. 方向分类模型推理](#方向分类模型推理) - [1. 方向分类模型推理](#方向分类模型推理)
- [六、文本检测、方向分类和文字识别串联推理](#文本检测、方向分类和文字识别串联推理) - [五、文本检测、方向分类和文字识别串联推理](#文本检测、方向分类和文字识别串联推理)
- [1. 超轻量中文OCR模型推理](#超轻量中文OCR模型推理) - [1. 超轻量中文OCR模型推理](#超轻量中文OCR模型推理)
- [2. 其他模型推理](#其他模型推理) - [2. 其他模型推理](#其他模型推理)
...@@ -122,32 +118,6 @@ python3 tools/export_model.py -c configs/cls/cls_mv3.yml -o Global.pretrained_mo ...@@ -122,32 +118,6 @@ python3 tools/export_model.py -c configs/cls/cls_mv3.yml -o Global.pretrained_mo
├── inference.pdiparams.info # 分类inference模型的参数信息，可忽略 ├── inference.pdiparams.info # 分类inference模型的参数信息，可忽略
└── inference.pdmodel # 分类inference模型的program文件 └── inference.pdmodel # 分类inference模型的program文件
``` ```
<a name="端到端模型转inference模型"></a>
### 端到端模型转inference模型
下载端到端模型：
```
wget -P ./ch_lite/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar && tar xf ./ch_lite/ch_ppocr_mobile_v2.0_cls_train.tar -C ./ch_lite/
```
端到端模型转inference模型与检测的方式相同，如下：
```
# -c 后面设置训练算法的yml配置文件
# -o 配置可选参数
# Global.pretrained_model 参数设置待转换的训练模型地址，不用添加文件后缀 .pdmodel，.pdopt或.pdparams。
# Global.load_static_weights 参数需要设置为 False。
# Global.save_inference_dir参数设置转换的模型将保存的地址。
python3 tools/export_model.py -c configs/e2e/e2e_r50_vd_pg.yml -o Global.pretrained_model=./ch_lite/ch_ppocr_mobile_v2.0_cls_train/best_accuracy Global.load_static_weights=False Global.save_inference_dir=./inference/e2e/
```
转换成功后，在目录下有三个文件：
```
/inference/e2e/
├── inference.pdiparams # 分类inference模型的参数文件
├── inference.pdiparams.info # 分类inference模型的参数信息，可忽略
└── inference.pdmodel # 分类inference模型的program文件
```
<a name="文本检测模型推理"></a> <a name="文本检测模型推理"></a>
## 二、文本检测模型推理 ## 二、文本检测模型推理
...@@ -362,38 +332,8 @@ python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words/korean/1.jpg" - ...@@ -362,38 +332,8 @@ python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words/korean/1.jpg" -
Predicts of ./doc/imgs_words/korean/1.jpg:('바탕으로', 0.9948904) Predicts of ./doc/imgs_words/korean/1.jpg:('바탕으로', 0.9948904)
``` ```
<a name="端到端模型推理"></a>
## 四、端到端模型推理
端到端模型推理，默认使用PGNet模型的配置参数。当不使用PGNet模型时，在推理时，需要通过传入相应的参数进行算法适配，细节参考下文。
<a name="PGNet端到端模型推理"></a>
### 1. PGNet端到端模型推理
#### (1). 四边形文本检测模型（ICDAR2015）
首先将PGNet端到端训练过程中保存的模型，转换成inference model。以基于Resnet50_vd骨干网络，在ICDAR2015英文数据集训练的模型为例([模型下载地址](https://paddleocr.bj.bcebos.com/dygraph_v2.0/pgnet/en_server_pgnetA.tar))，可以使用如下命令进行转换：
```
python3 tools/export_model.py -c configs/e2e/e2e_r50_vd_pg.yml -o Global.pretrained_model=./en_server_pgnetA/iter_epoch_450 Global.load_static_weights=False Global.save_inference_dir=./inference/e2e
```
**PGNet端到端模型推理，需要设置参数`--e2e_algorithm="PGNet"`**，可以执行如下命令：
```
python3 tools/infer/predict_e2e.py --e2e_algorithm="PGNet" --image_dir="./doc/imgs_en/img_10.jpg" --e2e_model_dir="./inference/e2e/" --e2e_pgnet_polygon=False
```
可视化文本检测结果默认保存到`./inference_results`文件夹里面，结果文件的名称前缀为'e2e_res'。结果示例如下：
![](../imgs_results/e2e_res_img_10_pgnet.jpg)
#### (2). 弯曲文本检测模型（Total-Text）
和四边形文本检测模型共用一个推理模型
**PGNet端到端模型推理，需要设置参数`--e2e_algorithm="PGNet"`，同时，还需要增加参数`--e2e_pgnet_polygon=True`，**可以执行如下命令：
```
python3.7 tools/infer/predict_e2e.py --e2e_algorithm="PGNet" --image_dir="./doc/imgs_en/img623.jpg" --e2e_model_dir="./inference/e2e/" --e2e_pgnet_polygon=True
```
可视化文本端到端结果默认保存到`./inference_results`文件夹里面，结果文件的名称前缀为'e2e_res'。结果示例如下：
![](../imgs_results/e2e_res_img623_pgnet.jpg)
<a name="方向分类模型推理"></a> <a name="方向分类模型推理"></a>
## 五、方向分类模型推理 ## 四、方向分类模型推理
下面将介绍方向分类模型推理。 下面将介绍方向分类模型推理。
...@@ -418,7 +358,7 @@ Predicts of ./doc/imgs_words/ch/word_4.jpg:['0', 0.9999982] ...@@ -418,7 +358,7 @@ Predicts of ./doc/imgs_words/ch/word_4.jpg:['0', 0.9999982]
``` ```
<a name="文本检测、方向分类和文字识别串联推理"></a> <a name="文本检测、方向分类和文字识别串联推理"></a>
## 六、文本检测、方向分类和文字识别串联推理 ## 五、文本检测、方向分类和文字识别串联推理
<a name="超轻量中文OCR模型推理"></a> <a name="超轻量中文OCR模型推理"></a>
### 1. 超轻量中文OCR模型推理 ### 1. 超轻量中文OCR模型推理
......
doc/doc_ch/models_list.md
View file @ e296a968
...@@ -104,27 +104,16 @@ python3 generate_multi_language_configs.py -l it \ ...@@ -104,27 +104,16 @@ python3 generate_multi_language_configs.py -l it \
| german_mobile_v2.0_rec |德文识别|[rec_german_lite_train.yml](../../configs/rec/multi_language/rec_german_lite_train.yml)|2.65M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/german_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/german_mobile_v2.0_rec_train.tar) | | german_mobile_v2.0_rec |德文识别|[rec_german_lite_train.yml](../../configs/rec/multi_language/rec_german_lite_train.yml)|2.65M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/german_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/german_mobile_v2.0_rec_train.tar) |
| korean_mobile_v2.0_rec |韩文识别|[rec_korean_lite_train.yml](../../configs/rec/multi_language/rec_korean_lite_train.yml)|3.9M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/korean_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/korean_mobile_v2.0_rec_train.tar) | | korean_mobile_v2.0_rec |韩文识别|[rec_korean_lite_train.yml](../../configs/rec/multi_language/rec_korean_lite_train.yml)|3.9M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/korean_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/korean_mobile_v2.0_rec_train.tar) |
| japan_mobile_v2.0_rec |日文识别|[rec_japan_lite_train.yml](../../configs/rec/multi_language/rec_japan_lite_train.yml)|4.23M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/japan_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/japan_mobile_v2.0_rec_train.tar) | | japan_mobile_v2.0_rec |日文识别|[rec_japan_lite_train.yml](../../configs/rec/multi_language/rec_japan_lite_train.yml)|4.23M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/japan_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/japan_mobile_v2.0_rec_train.tar) |
| it_mobile_v2.0_rec |意大利文识别|rec_it_lite_train.yml|2.53M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/it_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/it_mobile_v2.0_rec_train.tar) |
| xi_mobile_v2.0_rec |西班牙文识别|rec_xi_lite_train.yml|2.53M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/xi_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/xi_mobile_v2.0_rec_train.tar) |
| pu_mobile_v2.0_rec |葡萄牙文识别|rec_pu_lite_train.yml|2.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/pu_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/pu_mobile_v2.0_rec_train.tar) |
| ru_mobile_v2.0_rec |俄罗斯文识别|rec_ru_lite_train.yml|2.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ru_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ru_mobile_v2.0_rec_train.tar) |
| ar_mobile_v2.0_rec |阿拉伯文识别|rec_ar_lite_train.yml|2.53M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ar_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ar_mobile_v2.0_rec_train.tar) |
| hi_mobile_v2.0_rec |印地文识别|rec_hi_lite_train.yml|2.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/hi_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/hi_mobile_v2.0_rec_train.tar) |
| chinese_cht_mobile_v2.0_rec |中文繁体识别|rec_chinese_cht_lite_train.yml|5.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/chinese_cht_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/chinese_cht_mobile_v2.0_rec_train.tar) | | chinese_cht_mobile_v2.0_rec |中文繁体识别|rec_chinese_cht_lite_train.yml|5.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/chinese_cht_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/chinese_cht_mobile_v2.0_rec_train.tar) |
| ug_mobile_v2.0_rec |维吾尔文识别|rec_ug_lite_train.yml|2.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ug_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ug_mobile_v2.0_rec_train.tar) |
| fa_mobile_v2.0_rec |波斯文识别|rec_fa_lite_train.yml|2.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/fa_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/fa_mobile_v2.0_rec_train.tar) |
| ur_mobile_v2.0_rec |乌尔都文识别|rec_ur_lite_train.yml|2.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ur_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ur_mobile_v2.0_rec_train.tar) |
| rs_mobile_v2.0_rec |塞尔维亚文（latin）识别|rec_rs_lite_train.yml|2.53M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/rs_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/rs_mobile_v2.0_rec_train.tar) |
| oc_mobile_v2.0_rec |欧西坦文识别|rec_oc_lite_train.yml|2.53M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/oc_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/oc_mobile_v2.0_rec_train.tar) |
| mr_mobile_v2.0_rec |马拉地文识别|rec_mr_lite_train.yml|2.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/mr_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/mr_mobile_v2.0_rec_train.tar) |
| ne_mobile_v2.0_rec |尼泊尔文识别|rec_ne_lite_train.yml|2.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ne_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ne_mobile_v2.0_rec_train.tar) |
| rsc_mobile_v2.0_rec |塞尔维亚文（cyrillic）识别|rec_rsc_lite_train.yml|2.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/rsc_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/rsc_mobile_v2.0_rec_train.tar) |
| bg_mobile_v2.0_rec |保加利亚文识别|rec_bg_lite_train.yml|2.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/bg_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/bg_mobile_v2.0_rec_train.tar) |
| uk_mobile_v2.0_rec |乌克兰文识别|rec_uk_lite_train.yml|2.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/uk_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/uk_mobile_v2.0_rec_train.tar) |
| be_mobile_v2.0_rec |白俄罗斯文识别|rec_be_lite_train.yml|2.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/be_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/be_mobile_v2.0_rec_train.tar) |
| te_mobile_v2.0_rec |泰卢固文识别|rec_te_lite_train.yml|2.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/te_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/te_mobile_v2.0_rec_train.tar) | | te_mobile_v2.0_rec |泰卢固文识别|rec_te_lite_train.yml|2.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/te_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/te_mobile_v2.0_rec_train.tar) |
| ka_mobile_v2.0_rec |卡纳达文识别|rec_ka_lite_train.yml|2.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ka_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ka_mobile_v2.0_rec_train.tar) | | ka_mobile_v2.0_rec |卡纳达文识别|rec_ka_lite_train.yml|2.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ka_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ka_mobile_v2.0_rec_train.tar) |
| ta_mobile_v2.0_rec |泰米尔文识别|rec_ta_lite_train.yml|2.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ta_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ta_mobile_v2.0_rec_train.tar) | | ta_mobile_v2.0_rec |泰米尔文识别|rec_ta_lite_train.yml|2.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ta_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ta_mobile_v2.0_rec_train.tar) |
| latin_mobile_v2.0_rec | 拉丁文识别 | [rec_latin_lite_train.yml](../../configs/rec/multi_language/rec_latin_lite_train.yml) |2.6M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/latin_ppocr_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/latin_ppocr_mobile_v2.0_rec_train.tar) |
| arabic_mobile_v2.0_rec | 阿拉伯字母 | [rec_arabic_lite_train.yml](../../configs/rec/multi_language/rec_arabic_lite_train.yml) |2.6M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/arabic_ppocr_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/arabic_ppocr_mobile_v2.0_rec_train.tar) |
| cyrillic_mobile_v2.0_rec | 斯拉夫字母 | [rec_cyrillic_lite_train.yml](../../configs/rec/multi_language/rec_cyrillic_lite_train.yml) |2.6M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/cyrillic_ppocr_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/cyrillic_ppocr_mobile_v2.0_rec_train.tar) |
| devanagari_mobile_v2.0_rec | 梵文字母 | [rec_devanagari_lite_train.yml](../../configs/rec/multi_language/rec_devanagari_lite_train.yml) |2.6M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/devanagari_ppocr_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/devanagari_ppocr_mobile_v2.0_rec_train.tar) |
更多支持语种请参考: [多语言模型](./multi_languages.md)
<a name="文本方向分类模型"></a> <a name="文本方向分类模型"></a>
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