使用PaddleOCR进行处理时,一种简单的思路是,手写的score比印刷的会低很多,因此可以通过--drop_score参数过滤识别结果score低于设定值的目标,但通过一些测试就会发现,有一些印刷体因为涂写的关系score会较低,而有些手写笔迹在识别时,也会有很高的score(见下文),因此本项目提供一种通过在OCR流程中,新增一个印刷手写分类...
draw_img = draw_ocr( image, boxes, texts, scores, draw_txt=True, drop_score=0.5)returndraw_img@app.route("/test")deftest():return'Hello World!'@app.route("/myocr", methods=["POST"])defmyocr():# 输入参数image_file = request.files['file'] basepath = os.path.dirname(__file__...
det_limit_type='max', det_model_dir='C:\\Users\\hp/.paddleocr/2.0/det', drop_score=0.5, enable_mkldnn=False, gpu_mem=8000, image_dir='', ir_optim=True, label_list=['0', '180'], lang='ch', max_text_length=25, rec=True, rec_algorithm='CRNN', rec_batch_num=30, rec_...
mobile_v2.0_cls_infer',cls_thresh=0.9,cpu_threads=10,crop_res_save_dir='./output',det=True,det_algorithm='DB',det_db_box_thresh=0.6,det_db_score_mode='fast',det_db_thresh=0.3,det_db_unclip_ratio=1.5,det_east_cover_thresh=0.1,det_east_nms_thresh=0.2,det_east_score_thresh=0.8,de...
if scores is not None and (scores[i] < drop_score or TypeError: '<' not supp 解决:更换paddleOcr 版本 最新版本是2.6 V2.6的版本调用ocr.ocr 返回的不是一个数组,是一个字符串,需要进行转换。 环境搭建 1、安装python环境,我这里采用的是Python 3.8 ...
image, boxes, texts, scores, draw_txt=True, drop_score=0.5) return draw_img @app.route("/test") def test(): return 'Hello World!' @app.route("/myocr", methods=["POST"] ) def myocr(): # 输入参数 image_file = request.files['file'] ...
drop_score=0.5, font_path="../../doc/simfang.ttf"): # 字体路径 def text_visual(texts, scores, img_h=400, img_w=600, threshold=0., font_path="../../doc/simfang.ttf"): 修改完这些文件后,运行predict_system文件,即可,输出结果的位置在predict_system中修改: ...
PaddleOCR(use_gpu=False,lang='en',use_angle_cls=True, enable_mkldnn=True, drop_score = 0.3, use_space_char = True, enable_dilation = True, show_log = False) 就真的不懂是什么环节出错了>< 随机出错的概率不小。。。 Collaborator GreatV commented Jul 12, 2023 enable_mkldnn=False 试...
image, boxes, texts, scores, draw_txt=True, drop_score=0.5)returndraw_img@app.route("/test")deftest():return'Hello World!'@app.route("/myocr", methods=["POST"] )defmyocr():#输入参数image_file = request.files['file'] basepath= os.path.dirname(__file__) ...
drop_score = args.drop_score draw_img_save_dir = args.draw_img_save_dir os.makedirs(draw_img_save_dir, exist_ok=True) save_results = [] logger.info( "In PP-OCRv3, rec_image_shape parameter defaults to '3, 48, 320', " "if you are using recognition model with PP-OCRv2 or an...