update result

tink2123 · Apr 12, 2022 · bc7ea03 · bc7ea03
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diff --git a/deploy/pdserving/README_CN.md b/deploy/pdserving/README_CN.md
@@ -6,7 +6,6 @@ PaddleOCR提供2种服务部署方式：
 - 基于PaddleHub Serving的部署：代码路径为"`./deploy/hubserving`"，使用方法参考[文档](../../deploy/hubserving/readme.md)；
 - 基于PaddleServing的部署：代码路径为"`./deploy/pdserving`"，按照本教程使用。
 
-* AIStudio演示案例可参考 [基于PaddleServing的OCR服务化部署实战](https://aistudio.baidu.com/aistudio/projectdetail/3630726)
 
 # 基于PaddleServing的服务部署
 
@@ -19,6 +18,8 @@ PaddleOCR提供2种服务部署方式：
 
 更多有关PaddleServing服务化部署框架介绍和使用教程参考[文档](https://github.com/PaddlePaddle/Serving/blob/develop/README_CN.md)。
 
+AIStudio演示案例可参考 [基于PaddleServing的OCR服务化部署实战](https://aistudio.baidu.com/aistudio/projectdetail/3630726)。
+
 ## 目录
 - [环境准备](#环境准备)
 - [模型转换](#模型转换)
@@ -133,7 +134,7 @@ python3 -m paddle_serving_client.convert --dirname ./ch_PP-OCRv2_rec_infer/ \
  python3 pipeline_http_client.py
  ```
  成功运行后，模型预测的结果会打印在cmd窗口中，结果示例为：
- ![](./imgs/results.png)
+ ![](./imgs/pipeline_result.png)
 
  调整 config.yml 中的并发个数获得最大的QPS, 一般检测和识别的并发数为2：1
  ```

diff --git a/deploy/pdserving/imgs/pipeline_result.png b/deploy/pdserving/imgs/pipeline_result.png
diff --git a/deploy/pdserving/pipeline_http_client.py b/deploy/pdserving/pipeline_http_client.py
@@ -34,12 +34,16 @@ def cv2_to_base64(image):
 for idx, img_file in enumerate(os.listdir(test_img_dir)):
  with open(os.path.join(test_img_dir, img_file), 'rb') as file:
  image_data1 = file.read()
+ print('{}{}{}'.format('*' * 10, img_file, '*' * 10))
 
  image = cv2_to_base64(image_data1)
 
- for i in range(1):
- data = {"key": ["image"], "value": [image]}
- r = requests.post(url=url, data=json.dumps(data))
- print(r.json())
+ data = {"key": ["image"], "value": [image]}
+ r = requests.post(url=url, data=json.dumps(data))
+ all_result = r.json()["value"][0]
+ for item in eval(all_result):
+ print(item)
+ #print("len result:", len(result))
+ #print(eval(result[0]))
 
 print("==> total number of test imgs: ", len(os.listdir(test_img_dir)))