add feature lock selected shapes

PPOCRLabel/data/Cache.cach

@@ -1 +0,0 @@
-data/paddle.png	[{"transcription": "1/j飞浆", "points": [[27.0, 17.0], [158.0, 20.0], [158.0, 64.0], [27.0, 61.0]], "difficult": false}]

PPOCRLabel/data/Label.txt

@@ -1 +0,0 @@
-data/paddle.png	[{"transcription": "1/j飞浆", "points": [[27, 17], [158, 20], [160, 61], [27, 61]], "difficult": false}]

PPOCRLabel/data/fileState.txt

@@ -1 +0,0 @@
-/Users/mac/Downloads/PaddleOCR/PPOCRLabel/data/paddle.png	1

ppstructure/vqa/eval_re.py

@@ -24,7 +24,7 @@ import paddle
 from paddlenlp.transformers import LayoutXLMTokenizer, LayoutXLMModel, LayoutXLMForRelationExtraction
 
 from xfun import XFUNDataset
-from vaq_utils import parse_args, get_bio_label_maps, print_arguments
+from utils import parse_args, get_bio_label_maps, print_arguments
 from data_collator import DataCollator
 from metric import re_score
 

ppstructure/vqa/eval_ser.py

@@ -33,7 +33,7 @@ from paddlenlp.transformers import LayoutLMModel, LayoutLMTokenizer, LayoutLMFor
 
 from xfun import XFUNDataset
 from losses import SERLoss
-from vaq_utils import parse_args, get_bio_label_maps, print_arguments
+from utils import parse_args, get_bio_label_maps, print_arguments
 
 from ppocr.utils.logging import get_logger
 

ppstructure/vqa/infer_re.py

@@ -15,7 +15,7 @@ import paddle
 from paddlenlp.transformers import LayoutXLMTokenizer, LayoutXLMModel, LayoutXLMForRelationExtraction
 
 from xfun import XFUNDataset
-from vaq_utils import parse_args, get_bio_label_maps, draw_re_results
+from utils import parse_args, get_bio_label_maps, draw_re_results
 from data_collator import DataCollator
 
 from ppocr.utils.logging import get_logger

ppstructure/vqa/infer_ser.py

@@ -22,7 +22,7 @@ from copy import deepcopy
 import paddle
 
 # relative reference
-from vaq_utils import parse_args, get_image_file_list, draw_ser_results, get_bio_label_maps
+from utils import parse_args, get_image_file_list, draw_ser_results, get_bio_label_maps
 from paddlenlp.transformers import LayoutXLMModel, LayoutXLMTokenizer, LayoutXLMForTokenClassification
 from paddlenlp.transformers import LayoutLMModel, LayoutLMTokenizer, LayoutLMForTokenClassification
 

ppstructure/vqa/infer_ser_e2e.py

@@ -25,9 +25,9 @@ from paddlenlp.transformers import LayoutXLMModel, LayoutXLMTokenizer, LayoutXLM
 from paddlenlp.transformers import LayoutLMModel, LayoutLMTokenizer, LayoutLMForTokenClassification
 
 # relative reference
-from vaq_utils import parse_args, get_image_file_list, draw_ser_results, get_bio_label_maps
+from utils import parse_args, get_image_file_list, draw_ser_results, get_bio_label_maps
 
-from vaq_utils import pad_sentences, split_page, preprocess, postprocess, merge_preds_list_with_ocr_info
+from utils import pad_sentences, split_page, preprocess, postprocess, merge_preds_list_with_ocr_info
 
 MODELS = {
     'LayoutXLM':

ppstructure/vqa/infer_ser_re_e2e.py

@@ -24,7 +24,7 @@ import paddle
 from paddlenlp.transformers import LayoutXLMModel, LayoutXLMTokenizer, LayoutXLMForRelationExtraction
 
 # relative reference
-from vaq_utils import parse_args, get_image_file_list, draw_re_results
+from utils import parse_args, get_image_file_list, draw_re_results
 from infer_ser_e2e import SerPredictor
 
 

ppstructure/vqa/train_re.py

@@ -27,7 +27,7 @@ import paddle
 from paddlenlp.transformers import LayoutXLMTokenizer, LayoutXLMModel, LayoutXLMForRelationExtraction
 
 from xfun import XFUNDataset
-from vaq_utils import parse_args, get_bio_label_maps, print_arguments, set_seed
+from utils import parse_args, get_bio_label_maps, print_arguments, set_seed
 from data_collator import DataCollator
 from eval_re import evaluate
 

ppstructure/vqa/train_ser.py

@@ -32,7 +32,7 @@ from paddlenlp.transformers import LayoutXLMModel, LayoutXLMTokenizer, LayoutXLM
 from paddlenlp.transformers import LayoutLMModel, LayoutLMTokenizer, LayoutLMForTokenClassification
 
 from xfun import XFUNDataset
-from vaq_utils import parse_args, get_bio_label_maps, print_arguments, set_seed
+from utils import parse_args, get_bio_label_maps, print_arguments, set_seed
 from eval_ser import evaluate
 from losses import SERLoss
 from ppocr.utils.logging import get_logger