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License Plate Recognition based on PaddleOCR
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xxheyu/carplate
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************************************************************************* Enviroment PaddlePaddle 1.8+ python3.7 glibc 2.23 CUDA 10.0 cuDNN 7.6+ (GPU) ************************************************************************* Run Inference conda activate paddle python tools/infer/predict_system.py --image_dir="test_images/" \ --det_model_dir="./inference/ch_ppocr_mobile_v1.1_det_infer/" \ --rec_model_dir="./inference/ch_ppocr_mobile_v1.1_rec_infer/" \ --cls_model_dir="./inference/ch_ppocr_mobile_v1.1_cls_infer/" \ --use_angle_cls=True --use_space_char=True The results are saved in "./inference_results" by default. ************************************************************************* Optional Aruguments --use_gpu USE_GPU --ir_optim IR_OPTIM --use_tensorrt USE_TENSORRT --gpu_mem GPU_MEM --image_dir IMAGE_DIR --det_algorithm DET_ALGORITHM --det_model_dir DET_MODEL_DIR --det_max_side_len DET_MAX_SIDE_LEN --det_db_thresh DET_DB_THRESH --det_db_box_thresh DET_DB_BOX_THRESH --det_db_unclip_ratio DET_DB_UNCLIP_RATIO --det_east_score_thresh DET_EAST_SCORE_THRESH --det_east_cover_thresh DET_EAST_COVER_THRESH --det_east_nms_thresh DET_EAST_NMS_THRESH --det_sast_score_thresh DET_SAST_SCORE_THRESH --det_sast_nms_thresh DET_SAST_NMS_THRESH --det_sast_polygon DET_SAST_POLYGON --rec_algorithm REC_ALGORITHM --rec_model_dir REC_MODEL_DIR --rec_image_shape REC_IMAGE_SHAPE --rec_char_type REC_CHAR_TYPE --rec_batch_num REC_BATCH_NUM --max_text_length MAX_TEXT_LENGTH --rec_char_dict_path REC_CHAR_DICT_PATH --use_space_char USE_SPACE_CHAR --vis_font_path VIS_FONT_PATH --use_angle_cls USE_ANGLE_CLS --cls_model_dir CLS_MODEL_DIR --cls_image_shape CLS_IMAGE_SHAPE --label_list LABEL_LIST --cls_batch_num CLS_BATCH_NUM --cls_thresh CLS_THRESH --enable_mkldnn ENABLE_MKLDNN --use_zero_copy_run USE_ZERO_COPY_RUN --use_pdserving USE_PDSERVING *************************************************************************
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