cls：是否使用Angular 分类器。默认值为True。如果为True，则可以识别旋转180度的文本。如果没有旋转180...
from paddleocr import PaddleOCR, draw_ocr import cv2 # 初始化PaddleOCR ocr = PaddleOCR(use_angle_cls=True, lang='ch') # 根据需要设置语言 # 读取图片 img_path = 'path_to_your_image.jpg' img = cv2.imread(img_path) # 使用createPredictor创建预测器 # 注意:这里的参数可能需要根据实际情况进行调...
--det_model_dir=inference/ch_ppocr_mobile_v2.0_det_infer \ --use_angle_cls=true \ --cls_model_dir=inference/ch_ppocr_mobile_v2.0_cls_infer \ --rec_model_dir=inference/ch_ppocr_mobile_v2.0_rec_infer \ --image_dir=../../doc/imgs/12.jpg ./build/ppocr system \ --det_model...
use_mp表示是否使用多进程。total_process_num表示在使用多进程时的进程数 python3 tools/infer/predict_system.py --image_dir="./doc/imgs/00018069.jpg" --det_model_dir="./inference/det_db/" --rec_model_dir="./inference/rec_crnn/" --use_angle_cls=false --use_mp=True --total_process_...
Issues I have browsed through the Issues. 我已浏览过Issues,确定没有重复提问。 Umi-OCR version 程序版本 2.1.4 Windows version 系统版本 10 OCR plugins Used 使用的OCR插件 PaddleOCR Reproduction steps 复现步骤 启动,截图,图片自动填充到程序左侧,等一会就报错了 ...
info(f"unzip_path: {file_directory}") return file_directory @staticmethod async def _ocr(invoice_file_path: Path): ocr = PaddleOCR(use_angle_cls=True, lang="ch", page_num=1) ocr_result = ocr.ocr(str(invoice_file_path), cls=True) return ocr_result 其他action 写法类似。GenerateTable ...
Location of these PTTs is provided by the Argos System (Argos CLS, Toulouse, France). Global Location System sensors (GLSs) or geolocat- ing devices were used as simple, single-channel log- gers or as part of multiple-channel loggers incorporat- ing other features. The single-channel ...
use_angle_cls=False, cls_model_dir='C:\\Users\\aarya/.paddleocr/whl\\cls\\ch_ppocr_mobile_v2.0_cls_infer', cls_image_shape='3, 48, 192', label_list=['0', '180'], cls_batch_num=6, cls_thresh=0.9, enable_mkldnn=False, cpu_threads=10, use_pdserving=False, warmup=False, ...
Hi! I have a RTX 2080 Max-Q with 8Gb of RAM. I run the program with use_gpu = False with no problem. However, when I set use_gpu= True, it stops with the following: Namespace(cls_batch_num=30, cls_image_shape='3, 48, 192', cls_model_dir=...
it chooses one of the CLSPs based on a simple hash function performed on the request that attempts to balance the workload of the CLSPs. For example, the modulus of the name of the requested data object may be computed and transformed into a specific ID that identifies a CLSP for query...