updates

jeecg-module-system/jeecg-system-biz/src/main/java/org/jeecg/modules/ocr/service/impl/OcrIdentifyServiceImpl.java

@@ -976,6 +976,38 @@ public class OcrIdentifyServiceImpl extends ServiceImpl<OcrIdentifyMapper, OcrId
                 sourceJson.add(JSONObject.parseObject(String.format("{\"tag\":\"time\", \"inputText\":\"%s\"}", time)));
             }
             JSONObject semanticResult = JSONObject.parseObject(semanticResultJson);
+
+            File file = new File(imgPath);
+            //当原图片存在时.
+            if (file.exists()) {
+                int i = imgPath.lastIndexOf("/");
+                //压缩图片
+                /*if (true) {
+                    String fileUrl = "/data/ocrImage/thumbnail" + imgPath.substring(0, i);
+                    //判断新目录是否存在，不存在则新建
+                    FileOUtils.folderCreate(fileUrl);
+                    String outputImagePath = fileUrl + imgPath.substring(i + 1, imgPath.length());
+                    File thumbnailFile = new File(outputImagePath);
+                    //如果上次生成过缩率图，就不生成了
+                    if (!thumbnailFile.exists()) {
+                        ImageUtils.compressImage(file.getAbsolutePath(), outputImagePath, 0.3f, 0.3f);
+                    }
+                    ocrIdentifyDetail.setThumbnailImageUrl(outputImagePath);
+                }*/
+                //绘制虚线
+                if (true) {
+                    String fileUrl = "/data/ocrImage/drawDashed" + imgPath.substring(0, i);
+                    //判断新目录是否存在，不存在则新建
+                    FileOUtils.folderCreate(fileUrl);
+                    String outputImagePath = fileUrl + imgPath.substring(i + 1, imgPath.length());
+                    List<List<Point>> resultToPoints = ImageUtils.semanticResultToPoints(semanticResult);
+                    if (resultToPoints.size() > 0) {
+                        ImageUtils.drawDashedRectangleOnImages(file.getAbsolutePath(), resultToPoints, outputImagePath);
+                        imgPath = outputImagePath;
+                    }
+                }
+            }
+
             OcrRuleCheckDTO ocrRuleCheckVo = ocrRuleCheckService.findById(simulateChecksVO.getRuleCheckId());
             Map<String, CheckSemanticModel> checkSemanticModelMap = getCheckSemanticModelMap(ocrRuleCheckVo.getConfigRuleMap(), ocrRuleCheckVo.getFieldMap(), sourceJson);
             String text = null;//ocr 识别的文本