tag:github.com,2008:https://github.com/litongjava/tools-ocr/releases 2024-04-28T14:59:27Z tag:github.com,2008:Repository/690541417/v2.3.0 2024-04-28T17:33:25Z <p>1.change to useing rapid ocr and onnx<br> 2. Built-in server model<br> 3. set main thread to 2</p> litongjava tag:github.com,2008:Repository/690541417/v2.2.9 2023-12-10T06:14:14Z <p>1.支持pdf识别<br> 2.修复空图片识别错误<br> 3.修复选择图片识别错误<br> 4.使用线程池优化代码<br> 5.优化代码结构,新建MainWindow</p> litongjava tag:github.com,2008:Repository/690541417/v2.2.8 2023-11-23T14:36:04Z <p>增加cpu版本和gpu版本</p> litongjava tag:github.com,2008:Repository/690541417/v2.2.7 2023-11-23T13:05:50Z <p>全新升级为PPOCR v4</p> litongjava tag:github.com,2008:Repository/690541417/v2.2.3 2023-10-12T01:59:58Z <p>第一次启动后会新建app\app.properties<br> 内容如下</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="#Wed Oct 11 15:57:30 HST 2023 recName=ch_PP-OCRv3_rec_infer keysName=ppocr_keys_v1.txt libPath=D\:\\lib\\ocr-lib\\win64\\bin clsName=ch_ppocr_mobile_v2.0_cls_infer modelsDir=D\:\\model\\ppocr-v3-NCNN-models detName=ch_PP-OCRv3_det_infer"><pre class="notranslate"><code>#Wed Oct 11 15:57:30 HST 2023 recName=ch_PP-OCRv3_rec_infer keysName=ppocr_keys_v1.txt libPath=D\:\\lib\\ocr-lib\\win64\\bin clsName=ch_ppocr_mobile_v2.0_cls_infer modelsDir=D\:\\model\\ppocr-v3-NCNN-models detName=ch_PP-OCRv3_det_infer </code></pre></div> <p>如果有需要修改这个文件即可</p> litongjava tag:github.com,2008:Repository/690541417/v2.2.2 2023-10-11T14:01:25Z <p>需要提前下载模型和库 下载后存放到下面的位置<br> D:\model\ppocr-v3-NCNN-models</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content=". ├── ch_PP-OCRv3_det_infer.bin ├── ch_PP-OCRv3_det_infer.param ├── ch_PP-OCRv3_rec_infer.bin ├── ch_PP-OCRv3_rec_infer.param ├── ch_ppocr_mobile_v2.0_cls_infer.bin ├── ch_ppocr_mobile_v2.0_cls_infer.param ├── ppocr_keys_v1.txt"><pre class="notranslate"><code>. ├── ch_PP-OCRv3_det_infer.bin ├── ch_PP-OCRv3_det_infer.param ├── ch_PP-OCRv3_rec_infer.bin ├── ch_PP-OCRv3_rec_infer.param ├── ch_ppocr_mobile_v2.0_cls_infer.bin ├── ch_ppocr_mobile_v2.0_cls_infer.param ├── ppocr_keys_v1.txt </code></pre></div> <p>D:\lib\ocr-lib</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content=". ├── linux │ ├── lib │ │ ├── libRapidOcrNcnn.so ├── macos │ ├── lib │ │ ├── libRapidOcrNcnn.dylib ├── models │ ├── libRapidOcrNcnn.dylib ├── win32 │ ├── bin │ │ ├── RapidOcrNcnn.dll │ ├── lib │ │ ├── RapidOcrNcnn.lib ├── win64 │ ├── bin │ │ ├── RapidOcrNcnn.dll │ ├── lib │ │ ├── RapidOcrNcnn.lib"><pre class="notranslate"><code>. ├── linux │ ├── lib │ │ ├── libRapidOcrNcnn.so ├── macos │ ├── lib │ │ ├── libRapidOcrNcnn.dylib ├── models │ ├── libRapidOcrNcnn.dylib ├── win32 │ ├── bin │ │ ├── RapidOcrNcnn.dll │ ├── lib │ │ ├── RapidOcrNcnn.lib ├── win64 │ ├── bin │ │ ├── RapidOcrNcnn.dll │ ├── lib │ │ ├── RapidOcrNcnn.lib </code></pre></div> <p>目前值编译好了windows的版本</p> litongjava tag:github.com,2008:Repository/690541417/model-ppocr-v4 2023-11-24T00:44:19Z <p>ch_PP-OCRv4_rec_server_infer.zip<br> native-ocr-lib.zip<br> ppocr-v3-NCNN-models.zip<br> ch_PP-OCRv4_det_infer-onnx.zip<br> ch_PP-OCRv4_rec_infer-onnx.zip</p> litongjava