Update inference.py

替换文本OCR模型为paddleocr

src/inference.py

@@ -5,6 +5,7 @@ import cv2 as cv
 
 from pathlib import Path
 from onnxruntime import InferenceSession
+from paddleocr import PaddleOCR
 
 from models.utils import mix_inference
 from models.ocr_model.utils.to_katex import to_katex
@@ -13,10 +14,6 @@ from models.ocr_model.utils.inference import inference as latex_inference
 from models.ocr_model.model.TexTeller import TexTeller
 from models.det_model.inference import PredictConfig
 
-from surya.model.detection import segformer
-from surya.model.recognition.model import load_model
-from surya.model.recognition.processor import load_processor
-
 
 if __name__ == '__main__':
     os.chdir(Path(__file__).resolve().parent)
@@ -44,7 +41,6 @@ if __name__ == '__main__':
         action='store_true',
         help='use mix mode'
     )
-
     parser.add_argument(
         '-lang', 
         type=str,
@@ -76,10 +72,21 @@ if __name__ == '__main__':
         infer_config = PredictConfig("./models/det_model/model/infer_cfg.yml")
         latex_det_model = InferenceSession("./models/det_model/model/rtdetr_r50vd_6x_coco.onnx")
 
-        det_processor, det_model = segformer.load_processor(), segformer.load_model()
-        rec_model, rec_processor = load_model(), load_processor()
-        lang_ocr_models = [det_model, det_processor, rec_model, rec_processor]
+        use_gpu = args.inference_mode == 'cuda'
+        text_ocr_model = PaddleOCR(
+            use_angle_cls=False, lang='ch', use_gpu=use_gpu,
+            det_model_dir="./models/text_ocr_model/infer_models/ch_PP-OCRv4_det_server_infer",
+            rec_model_dir="./models/text_ocr_model/infer_models/ch_PP-OCRv4_rec_server_infer",
+            det_limit_type='max',
+            det_limit_side_len=1280,
+            use_dilation=True,
+            det_db_score_mode="slow",
+        ) # need to run only once to load model into memory
 
+        detector = text_ocr_model.text_detector
+        recognizer = text_ocr_model.text_recognizer
+        
+        lang_ocr_models = [detector, recognizer]
         latex_rec_models = [latex_rec_model, tokenizer]
         res = mix_inference(img_path, args.lang , infer_config, latex_det_model, lang_ocr_models, latex_rec_models, args.inference_mode, args.num_beam)
         print(res)