u

code/crane/crane-api/.idea/encodings.xml

@@ -15,6 +15,8 @@
     <file url="file://$PROJECT_DIR$/crane-doc/src/main/resources" charset="UTF-8" />
     <file url="file://$PROJECT_DIR$/crane-log/src/main/java" charset="UTF-8" />
     <file url="file://$PROJECT_DIR$/crane-log/src/main/resources" charset="UTF-8" />
+    <file url="file://$PROJECT_DIR$/crane-test/src/main/java" charset="UTF-8" />
+    <file url="file://$PROJECT_DIR$/crane-test/src/main/resources" charset="UTF-8" />
     <file url="file://$PROJECT_DIR$/crane-web/src/main/java" charset="UTF-8" />
     <file url="file://$PROJECT_DIR$/crane-web/src/main/resources" charset="UTF-8" />
     <file url="file://$PROJECT_DIR$/src/main/java" charset="UTF-8" />

code/crane/crane-api/crane-boot/pom.xml

@@ -17,12 +17,14 @@
     </description>
 
     <dependencies>
-
+        <dependency>
+            <groupId>org.springframework.boot</groupId>
+            <artifactId>spring-boot-starter-web</artifactId>
+        </dependency>
 
         <dependency>
             <groupId>com.crane</groupId>
-            <artifactId>crane-common</artifactId>
+            <artifactId>crane-log</artifactId>
         </dependency>
-
     </dependencies>
 </project>

code/crane/crane-api/crane-boot/src/main/java/com/crane/boot/CraneBootApplication.java

@@ -3,7 +3,7 @@ package com.crane.boot;
 import org.springframework.boot.SpringApplication;
 import org.springframework.boot.autoconfigure.SpringBootApplication;
 
-@SpringBootApplication
+@SpringBootApplication(scanBasePackages = {"com.crane"})
 public class CraneBootApplication {
     public static void main(String[] args) {
         SpringApplication.run(CraneBootApplication.class, args);

code/crane/crane-api/crane-boot/src/main/resources/application.yml

@@ -1,4 +1,6 @@
 server:
-  port: 8080
+  port: 8082
   tomcat:
     uri-encoding: UTF-8
+logging:
+  module-name: 启动模块

code/crane/crane-api/crane-common/pom.xml

@@ -13,8 +13,8 @@
 
     <dependencies>
         <dependency>
-            <groupId>org.springframework.boot</groupId>
-            <artifactId>spring-boot-starter-web</artifactId>
+            <groupId>org.springframework</groupId>
+            <artifactId>spring-web</artifactId>
         </dependency>
     </dependencies>
 

code/crane/crane-api/crane-common/src/main/resources/application.yml

@@ -0,0 +1,2 @@
+logging:
+  module-name: common模块

code/crane/crane-api/crane-log/pom.xml

@@ -10,11 +10,6 @@
     </parent>
 
     <artifactId>crane-log</artifactId>
-
-    <properties>
-        <maven.compiler.source>21</maven.compiler.source>
-        <maven.compiler.target>21</maven.compiler.target>
-        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
-    </properties>
+    <description>日志模块</description>
 
 </project>

code/crane/crane-api/crane-test/pom.xml

@@ -0,0 +1,34 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0"
+         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <modelVersion>4.0.0</modelVersion>
+    <parent>
+        <groupId>com.crane</groupId>
+        <artifactId>crane-api</artifactId>
+        <version>1.0.0</version>
+    </parent>
+
+    <artifactId>crane-test</artifactId>
+
+    <dependencies>
+        <dependency>
+            <groupId>com.crane</groupId>
+            <artifactId>crane-common</artifactId>
+        </dependency>
+
+        <dependency>
+            <groupId>com.crane</groupId>
+            <artifactId>crane-log</artifactId>
+        </dependency>
+        <dependency>
+            <groupId>com.fasterxml.jackson.core</groupId>
+            <artifactId>jackson-databind</artifactId>
+        </dependency>
+
+        <dependency>
+            <groupId>com.squareup.okhttp3</groupId>
+            <artifactId>okhttp</artifactId>
+        </dependency>
+    </dependencies>
+</project>

code/crane/crane-api/crane-test/src/main/java/com/crane/test/DataController.java

@@ -1,4 +1,4 @@
-package com.crane.common;
+package com.crane.test;
 
 
 import org.springframework.web.bind.annotation.*;

code/crane/crane-api/crane-test/src/main/java/com/crane/test/Test.java

@@ -0,0 +1,61 @@
+package com.crane.test;
+import okhttp3.*;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.fasterxml.jackson.databind.JsonNode;
+import com.fasterxml.jackson.databind.node.ObjectNode;
+
+import java.io.File;
+import java.io.FileOutputStream;
+import java.io.IOException;
+import java.util.Base64;
+
+public class Test{
+    public static void main(String[] args) throws IOException {
+        String API_URL = "http://localhost:8080/ocr";
+        String imagePath = "./demo.jpg";
+
+        File file = new File(imagePath);
+        byte[] fileContent = java.nio.file.Files.readAllBytes(file.toPath());
+        String base64Image = Base64.getEncoder().encodeToString(fileContent);
+
+        ObjectMapper objectMapper = new ObjectMapper();
+        ObjectNode payload = objectMapper.createObjectNode();
+        payload.put("file", base64Image);
+        payload.put("fileType", 1);
+
+        OkHttpClient client = new OkHttpClient();
+        MediaType JSON = MediaType.get("application/json; charset=utf-8");
+        RequestBody body = RequestBody.create(JSON, payload.toString());
+
+        Request request = new Request.Builder()
+                .url(API_URL)
+                .post(body)
+                .build();
+
+        try (Response response = client.newCall(request).execute()) {
+            if (response.isSuccessful()) {
+                String responseBody = response.body().string();
+                JsonNode root = objectMapper.readTree(responseBody);
+                JsonNode result = root.get("result");
+
+                JsonNode ocrResults = result.get("ocrResults");
+                for (int i = 0; i < ocrResults.size(); i++) {
+                    JsonNode item = ocrResults.get(i);
+
+                    JsonNode prunedResult = item.get("prunedResult");
+                    System.out.println("Pruned Result [" + i + "]: " + prunedResult.toString());
+
+                    String ocrImageBase64 = item.get("ocrImage").asText();
+                    byte[] ocrImageBytes = Base64.getDecoder().decode(ocrImageBase64);
+                    String ocrImgPath = "ocr_result_" + i + ".jpg";
+                    try (FileOutputStream fos = new FileOutputStream(ocrImgPath)) {
+                        fos.write(ocrImageBytes);
+                        System.out.println("Saved OCR image to: " + ocrImgPath);
+                    }
+                }
+            } else {
+                System.err.println("Request failed with HTTP code: " + response.code());
+            }
+        }
+    }
+}

code/crane/crane-api/crane-test/src/main/resources/application.yml

@@ -0,0 +1,2 @@
+logging:
+  module-name: 测试模块

code/crane/crane-api/pom.xml

@@ -16,6 +16,7 @@
         <module>crane-common</module>
         <module>crane-boot</module>
         <module>crane-log</module>
+        <module>crane-test</module>
     </modules>
 
     <!--  版本信息  -->
@@ -80,6 +81,12 @@
                 <artifactId>crane-log</artifactId>
                 <version>${crane.version}</version>
             </dependency>
+
+            <dependency>
+                <groupId>com.crane</groupId>
+                <artifactId>crane-test</artifactId>
+                <version>${crane.version}</version>
+            </dependency>
         </dependencies>
     </dependencyManagement>
 

notes/后端开发/python/大模型-集装箱号识别.md

@@ -1,21 +0,0 @@
-## 环境
-
-- python：3.11.13
-- paddlepaddle-gpu：3.0.0
-- paddle-ocr：3.0.1
-- cuda：11.8
-
-
-
-## 依赖
-
-paddlepaddle-gpu
-
-```bash
-pip install paddlepaddle-gpu==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
-```
-
-
-
-## 运行
-

notes/后端开发/python/集装箱号识别.md

@@ -0,0 +1,663 @@
+# 识别结果
+
+参数基本采用默认参数，都训练 **10轮** 。
+
+
+
+
+
+## PP-OCRv5_server (极好)
+
+识别效果：**极好** ，基本都是别出来了，并且正确。
+
+![image-20250630141231138](./assets/%E9%9B%86%E8%A3%85%E7%AE%B1%E5%8F%B7%E8%AF%86%E5%88%AB/image-20250630141231138.png)
+
+### PP-OCRv5_server_det.yml
+
+```yaml
+Global:
+  model_name: PP-OCRv5_server_det # To use static model for inference.
+  debug: false
+  use_gpu: true
+  epoch_num: &epoch_num 10
+  log_smooth_window: 20
+  print_batch_step: 10
+  save_model_dir: ./output-v5server/PP-OCRv5_server_det
+  save_epoch_step: 200
+  eval_batch_step:
+  - 0
+  - 200
+  cal_metric_during_train: false
+  checkpoints:
+  pretrained_model: ./pretrain_models/PP-OCRv5_server_det_pretrained.pdparams
+  save_inference_dir: null
+  use_visualdl: false
+  infer_img: doc/imgs_en/img_10.jpg
+  save_res_path: ./checkpoints/det_db/predicts_db.txt
+  distributed: false
+
+Architecture:
+  model_type: det
+  algorithm: DB
+  Transform: null
+  Backbone:
+    name: PPHGNetV2_B4
+    det: True
+  Neck:
+    name: LKPAN
+    out_channels: 256
+    intracl: true
+  Head:
+    name: PFHeadLocal
+    k: 50
+    mode: "large"
+    
+
+Loss:
+  name: DBLoss
+  balance_loss: true
+  main_loss_type: DiceLoss
+  alpha: 5
+  beta: 10
+  ohem_ratio: 3
+
+Optimizer:
+  name: Adam
+  beta1: 0.9
+  beta2: 0.999
+  lr:
+    name: Cosine
+    learning_rate: 0.001 #(8*8c)
+    warmup_epoch: 2
+  regularizer:
+    name: L2
+    factor: 1e-6
+
+PostProcess:
+  name: DBPostProcess
+  thresh: 0.3
+  box_thresh: 0.6
+  max_candidates: 1000
+  unclip_ratio: 1.5
+
+Metric:
+  name: DetMetric
+  main_indicator: hmean
+
+Train:
+  dataset:
+    name: SimpleDataSet
+    data_dir: ./data/input0/images #图片文件夹路径
+    label_file_list:
+      - ./det_train_label.txt #标签路径
+    ratio_list: [1.0]
+    transforms:
+    - DecodeImage:
+        img_mode: BGR
+        channel_first: false
+    - DetLabelEncode: null
+    - CopyPaste: null
+    - IaaAugment:
+        augmenter_args:
+        - type: Fliplr
+          args:
+            p: 0.5
+        - type: Affine
+          args:
+            rotate:
+            - -10
+            - 10
+        - type: Resize
+          args:
+            size:
+            - 0.5
+            - 3
+    - EastRandomCropData:
+        size:
+        - 640
+        - 640
+        max_tries: 50
+        keep_ratio: true
+    - MakeBorderMap:
+        shrink_ratio: 0.4
+        thresh_min: 0.3
+        thresh_max: 0.7
+        total_epoch: *epoch_num
+    - MakeShrinkMap:
+        shrink_ratio: 0.4
+        min_text_size: 8
+        total_epoch: *epoch_num
+    - NormalizeImage:
+        scale: 1./255.
+        mean:
+        - 0.485
+        - 0.456
+        - 0.406
+        std:
+        - 0.229
+        - 0.224
+        - 0.225
+        order: hwc
+    - ToCHWImage: null
+    - KeepKeys:
+        keep_keys:
+        - image
+        - threshold_map
+        - threshold_mask
+        - shrink_map
+        - shrink_mask
+  loader:
+    shuffle: true
+    drop_last: false
+    batch_size_per_card: 10
+    num_workers: 1
+
+Eval:
+  dataset:
+    name: SimpleDataSet
+    data_dir: ./data/input0/images
+    label_file_list:
+      - ./det_eval_label.txt
+    transforms:
+    - DecodeImage:
+        img_mode: BGR
+        channel_first: false
+    - DetLabelEncode: null
+    - DetResizeForTest:
+    - NormalizeImage:
+        scale: 1./255.
+        mean:
+        - 0.485
+        - 0.456
+        - 0.406
+        std:
+        - 0.229
+        - 0.224
+        - 0.225
+        order: hwc
+    - ToCHWImage: null
+    - KeepKeys:
+        keep_keys:
+        - image
+        - shape
+        - polys
+        - ignore_tags
+  loader:
+    shuffle: false
+    drop_last: false
+    batch_size_per_card: 1
+    num_workers: 1
+profiler_options: null
+```
+
+### PP-OCRv5_server_rec.yml
+
+```yaml
+Global:
+  model_name: PP-OCRv5_server_rec # To use static model for inference.
+  debug: false
+  use_gpu: true
+  epoch_num: 10
+  log_smooth_window: 20
+  print_batch_step: 10
+  save_model_dir: ./output-v5server/PP-OCRv5_server_rec
+  save_epoch_step: 200
+  eval_batch_step: [0, 200]
+  cal_metric_during_train: true
+  calc_epoch_interval: 1
+  pretrained_model: ./pretrain_models/PP-OCRv5_server_rec_pretrained.pdparams
+  checkpoints:
+  save_inference_dir:
+  use_visualdl: false
+  infer_img: doc/imgs_words/ch/word_1.jpg
+  character_dict_path: ./ppocr/utils/dict/ppocrv5_dict.txt
+  max_text_length: &max_text_length 25
+  infer_mode: false
+  use_space_char: true
+  distributed: true
+  save_res_path: ./output-v5server/rec/predicts_ppocrv5.txt
+  d2s_train_image_shape: [3, 48, 320]
+
+
+Optimizer:
+  name: Adam
+  beta1: 0.9
+  beta2: 0.999
+  lr:
+    name: Cosine
+    learning_rate: 0.0005
+    warmup_epoch: 1
+  regularizer:
+    name: L2
+    factor: 3.0e-05
+
+
+Architecture:
+  model_type: rec
+  algorithm: SVTR_HGNet
+  Transform:
+  Backbone:
+    name: PPHGNetV2_B4
+    text_rec: True
+  Head:
+    name: MultiHead
+    head_list:
+      - CTCHead:
+          Neck:
+            name: svtr
+            dims: 120
+            depth: 2
+            hidden_dims: 120
+            kernel_size: [1, 3]
+            use_guide: True
+          Head:
+            fc_decay: 0.00001
+      - NRTRHead:
+          nrtr_dim: 384
+          max_text_length: *max_text_length
+
+Loss:
+  name: MultiLoss
+  loss_config_list:
+    - CTCLoss:
+    - NRTRLoss:
+
+PostProcess:  
+  name: CTCLabelDecode
+
+Metric:
+  name: RecMetric
+  main_indicator: acc
+
+Train:
+  dataset:
+    name: MultiScaleDataSet
+    ds_width: false
+    data_dir: ./RecTrainData/
+    ext_op_transform_idx: 1
+    label_file_list:
+    - ./rec_train_label.txt
+    transforms:
+    - DecodeImage:
+        img_mode: BGR
+        channel_first: false
+    - RecAug:
+    - MultiLabelEncode:
+        gtc_encode: NRTRLabelEncode
+    - KeepKeys:
+        keep_keys:
+        - image
+        - label_ctc
+        - label_gtc
+        - length
+        - valid_ratio
+  sampler:
+    name: MultiScaleSampler
+    scales: [[320, 32], [320, 48], [320, 64]]
+    first_bs: &bs 12
+    fix_bs: false
+    divided_factor: [8, 16] # w, h
+    is_training: True
+  loader:
+    shuffle: true
+    batch_size_per_card: 10
+    drop_last: true
+    num_workers: 1
+Eval:
+  dataset:
+    name: SimpleDataSet
+    data_dir: ./RecEvalData/
+    label_file_list:
+    - ./rec_eval_label.txt
+    transforms:
+    - DecodeImage:
+        img_mode: BGR
+        channel_first: false
+    - MultiLabelEncode:
+        gtc_encode: NRTRLabelEncode
+    - RecResizeImg:
+        image_shape: [3, 48, 320]
+    - KeepKeys:
+        keep_keys:
+        - image
+        - label_ctc
+        - label_gtc
+        - length
+        - valid_ratio
+  loader:
+    shuffle: false
+    drop_last: false
+    batch_size_per_card: 1
+    num_workers: 1
+```
+
+
+
+## PP-OCRv5_mobile
+
+### PP-OCRv5_mobile_det.yml
+
+```yaml
+Global:
+  model_name: PP-OCRv5_mobile_det # To use static model for inference.
+  debug: false
+  use_gpu: true
+  epoch_num: &epoch_num 100
+  log_smooth_window: 20
+  print_batch_step: 100
+  save_model_dir: ./output-v5mobile/PP-OCRv5_mobile_det
+  save_epoch_step: 200
+  eval_batch_step:
+  - 0
+  - 200
+  cal_metric_during_train: false
+  checkpoints:
+  pretrained_model: https://paddleocr.bj.bcebos.com/pretrained/PPLCNetV3_x0_75_ocr_det.pdparams
+  save_inference_dir: null
+  use_visualdl: false
+  infer_img: doc/imgs_en/img_10.jpg
+  save_res_path: ./checkpoints/det_db/predicts_db.txt
+  d2s_train_image_shape: [3, 640, 640]
+  distributed: true
+
+Architecture:
+  model_type: det
+  algorithm: DB
+  Transform: null
+  Backbone:
+    name: PPLCNetV3
+    scale: 0.75
+    det: True
+  Neck:
+    name: RSEFPN
+    out_channels: 96
+    shortcut: True
+  Head:
+    name: DBHead
+    k: 50
+    fix_nan: True
+
+Loss:
+  name: DBLoss
+  balance_loss: true
+  main_loss_type: DiceLoss
+  alpha: 5
+  beta: 10
+  ohem_ratio: 3
+
+Optimizer:
+  name: Adam
+  beta1: 0.9
+  beta2: 0.999
+  lr:
+    name: Cosine
+    learning_rate: 0.001 #(8*8c)
+    warmup_epoch: 2
+  regularizer:
+    name: L2
+    factor: 5.0e-05
+
+PostProcess:
+  name: DBPostProcess
+  thresh: 0.3
+  box_thresh: 0.6
+  max_candidates: 1000
+  unclip_ratio: 1.5
+
+Metric:
+  name: DetMetric
+  main_indicator: hmean
+
+Train:
+  dataset:
+    name: SimpleDataSet
+    data_dir: ./data/input0/images #图片文件夹路径
+    label_file_list:
+      - ./det_train_label.txt #标签路径
+    ratio_list: [1.0]
+    transforms:
+    - DecodeImage:
+        img_mode: BGR
+        channel_first: false
+    - DetLabelEncode: null
+    - CopyPaste: null
+    - IaaAugment:
+        augmenter_args:
+        - type: Fliplr
+          args:
+            p: 0.5
+        - type: Affine
+          args:
+            rotate:
+            - -10
+            - 10
+        - type: Resize
+          args:
+            size:
+            - 0.5
+            - 3
+    - EastRandomCropData:
+        size:
+        - 640
+        - 640
+        max_tries: 50
+        keep_ratio: true
+    - MakeBorderMap:
+        shrink_ratio: 0.4
+        thresh_min: 0.3
+        thresh_max: 0.7
+        total_epoch: *epoch_num
+    - MakeShrinkMap:
+        shrink_ratio: 0.4
+        min_text_size: 8
+        total_epoch: *epoch_num
+    - NormalizeImage:
+        scale: 1./255.
+        mean:
+        - 0.485
+        - 0.456
+        - 0.406
+        std:
+        - 0.229
+        - 0.224
+        - 0.225
+        order: hwc
+    - ToCHWImage: null
+    - KeepKeys:
+        keep_keys:
+        - image
+        - threshold_map
+        - threshold_mask
+        - shrink_map
+        - shrink_mask
+  loader:
+    shuffle: true
+    drop_last: false
+    batch_size_per_card: 14
+    num_workers: 1
+
+Eval:
+  dataset:
+    name: SimpleDataSet
+    data_dir: ./data/input0/images
+    label_file_list:
+      - ./det_eval_label.txt
+    transforms:
+    - DecodeImage:
+        img_mode: BGR
+        channel_first: false
+    - DetLabelEncode: null
+    - DetResizeForTest:
+    - NormalizeImage:
+        scale: 1./255.
+        mean:
+        - 0.485
+        - 0.456
+        - 0.406
+        std:
+        - 0.229
+        - 0.224
+        - 0.225
+        order: hwc
+    - ToCHWImage: null
+    - KeepKeys:
+        keep_keys:
+        - image
+        - shape
+        - polys
+        - ignore_tags
+  loader:
+    shuffle: false
+    drop_last: false
+    batch_size_per_card: 1
+    num_workers: 1
+profiler_options: null
+```
+
+
+
+### PP-OCRv5_mobile_rec.yml
+
+```yaml
+Global:
+  model_name: PP-OCRv5_mobile_rec # To use static model for inference.
+  debug: false
+  use_gpu: true
+  epoch_num: 75
+  log_smooth_window: 20
+  print_batch_step: 10
+  save_model_dir: ./output/PP-OCRv5_mobile_rec
+  save_epoch_step: 10
+  eval_batch_step: [0, 2000]
+  cal_metric_during_train: true
+  pretrained_model: https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-OCRv5_mobile_rec_pretrained.pdparams 
+  checkpoints:
+  save_inference_dir:
+  use_visualdl: false
+  infer_img: doc/imgs_words/ch/word_1.jpg
+  character_dict_path: ./ppocr/utils/dict/ppocrv5_dict.txt
+  max_text_length: &max_text_length 25
+  infer_mode: false
+  use_space_char: true
+  distributed: true
+  save_res_path: ./output/rec/predicts_ppocrv5.txt
+  d2s_train_image_shape: [3, 48, 320]
+
+
+Optimizer:
+  name: Adam
+  beta1: 0.9
+  beta2: 0.999
+  lr:
+    name: Cosine
+    learning_rate: 0.0005
+    warmup_epoch: 5
+  regularizer:
+    name: L2
+    factor: 3.0e-05
+
+
+Architecture:
+  model_type: rec
+  algorithm: SVTR_LCNet
+  Transform:
+  Backbone:
+    name: PPLCNetV3
+    scale: 0.95
+  Head:
+    name: MultiHead
+    head_list:
+      - CTCHead:
+          Neck:
+            name: svtr
+            dims: 120
+            depth: 2
+            hidden_dims: 120
+            kernel_size: [1, 3]
+            use_guide: True
+          Head:
+            fc_decay: 0.00001
+      - NRTRHead:
+          nrtr_dim: 384
+          max_text_length: *max_text_length
+
+Loss:
+  name: MultiLoss
+  loss_config_list:
+    - CTCLoss:
+    - NRTRLoss:
+
+PostProcess:  
+  name: CTCLabelDecode
+
+Metric:
+  name: RecMetric
+  main_indicator: acc
+
+Train:
+  dataset:
+    name: MultiScaleDataSet
+    ds_width: false
+    data_dir: ./RecTrainData/
+    ext_op_transform_idx: 1
+    label_file_list:
+    - ./rec_train_label.txt
+    transforms:
+    - DecodeImage:
+        img_mode: BGR
+        channel_first: false
+    - RecConAug:
+        prob: 0.5
+        ext_data_num: 2
+        image_shape: [48, 320, 3]
+        max_text_length: *max_text_length
+    - RecAug:
+    - MultiLabelEncode:
+        gtc_encode: NRTRLabelEncode
+    - KeepKeys:
+        keep_keys:
+        - image
+        - label_ctc
+        - label_gtc
+        - length
+        - valid_ratio
+  sampler:
+    name: MultiScaleSampler
+    scales: [[320, 32], [320, 48], [320, 64]]
+    first_bs: &bs 128
+    fix_bs: false
+    divided_factor: [8, 16] # w, h
+    is_training: True
+  loader:
+    shuffle: true
+    batch_size_per_card: 14
+    drop_last: true
+    num_workers: 1
+Eval:
+  dataset:
+    name: SimpleDataSet
+    data_dir: ./RecEvalData/
+    label_file_list:
+    - ./rec_eval_label.txt
+    transforms:
+    - DecodeImage:
+        img_mode: BGR
+        channel_first: false
+    - MultiLabelEncode:
+        gtc_encode: NRTRLabelEncode
+    - RecResizeImg:
+        image_shape: [3, 48, 320]
+    - KeepKeys:
+        keep_keys:
+        - image
+        - label_ctc
+        - label_gtc
+        - length
+        - valid_ratio
+  loader:
+    shuffle: false
+    drop_last: false
+    batch_size_per_card: 14
+    num_workers: 1
+```
+