On the ICDAR2015 dataset, the text detection result is as follows: ModelBackbonePrecisionRecallHmeanDownload link EAST ResNet50_vd 85.80% 86.71% 86.25% trained model EAST MobileNetV3 79.42% 80.64% 80.03% trained model DB ResNet50_vd 86.41% 78.72% 82.38% trained model DB MobileNetV3 77.29% 73....
1)文本检测(Text detection):定位图片中文本出现的位置; 2)检测框调整(Detection boxes rectify):在进行文本识别之前会先将检测框调整为矩形框,然后判断矩形框中的文本方向是否为正向,若出现文字方向为非正向,需要对其进行调整,示例见下图; 3)文本识别(Text Recognition):根据给定的文本矩形框,识别矩形框中的文字。
用户可使用开源合成工具自行合成,可参考的合成工具包括[text_renderer](https://github.com/Sanster/text_renderer)、[SynthText](https://github.com/ankush-me/SynthText)、[TextRecognitionDataGenerator](https://github.com/Belval/TextRecognitionDataGenerator)等。
use_gpu=False, det_model_dir="/root/.paddleocr/whl/det/en/en_PP-OCRv3_det_infer/", # 检测模型 cls_model_dir="/root/.paddleocr/whl/cls/ch_ppocr_mobile_v2.0_cls_infer/", # 分类模型 rec_model_dir="/root/.paddleocr/whl/rec/en/en_PP-OCRv3_rec_infer/" # 识别模型 ) # need to...
{ "model_name": "picodet", "task_type": "build", "model_type": "paddle", "model_path": "/home/aistudio/PaddleDetection/output_inference/picodet_s_320_coco_lcnet", "model_file": "model.pdmodel", "param_file": "model.pdiparams", "output_path": "output", "input_spec": { "ima...
这行代码创建了一个FullOcrModel对象,该对象表示PaddleOCR的模型。LocalFullModels.ChineseV3是一个预训练的模型,专门用于识别中文字符。 using(PaddleOcrAllall=newPaddleOcrAll(model,PaddleDevice.Mkldnn()){AllowRotateDetection=true,/* 允许识别有角度的文字 */Enable180Classification=false,/* 允许识别旋转角度大于...
PaddleOCR超轻量模型同时支持中英文识别,并且支持倾斜、竖排等多种方向的文字识别,我们看看效果示例。示例图中给出了每个文本检测框的识别结果(text)和相应的置信度(score)。 << 滑动查看下一张图片 >> 可以看到,模型在中英文、数字、多角度文本上都能有很好的识别效果。
using(PaddleOcrAll all =newPaddleOcrAll(model, PaddleDevice.Mkldnn){AllowRotateDetection =true,Enable180Classification =false,}){using(Mat src2 = Cv2.ImRead(selectedPicture)){PaddleOcrResult result = all.Run(src2);richTextBox1.Text = result.Text;}}}``` 除了...
Text Detection:FCENet,DB++ Text Recognition:ViTSTR,ABINet,VisionLAN,SPIN,RobustScanner Table Recognition:TableMaster 2022.5.9 Release PaddleOCRrelease/2.5 ReleasePP-OCRv3: With comparable speed, the effect of Chinese scene is further improved by 5% compared with PP-OCRv2, the effect of English scene...
Detection model DB (4.1M) + recognition model CRNN (4.5M) Various text detection algorithms: EAST, DB Various text recognition algorithms: Rosetta, CRNN, STAR-Net, RARE Support Linux, Windows, MacOS and other systems. Visualization More visualization ...