fix deeplabv3p_xception65_humanseg inference client bug (#1914)

modules/image/semantic_segmentation/deeplabv3p_xception65_humanseg/README.md

@@ -131,7 +131,7 @@
 
   - 配置好服务端，以下数行代码即可实现发送预测请求，获取预测结果
 
-      ```python
+  - ```python
     import requests
     import json
     import cv2
@@ -150,11 +150,12 @@
         data = cv2.imdecode(data, cv2.IMREAD_COLOR)
         return data
   
+    org_im = cv2.imread("/PATH/TO/IMAGE")
     # 发送HTTP请求
-      data = {'images':[cv2_to_base64(cv2.imread("/PATH/TO/IMAGE"))]}
+    data = {'images':[cv2_to_base64(org_im)]}
     headers = {"Content-type": "application/json"}
     url = "http://127.0.0.1:8866/predict/deeplabv3p_xception65_humanseg"
-      r = requests.post(url=url, headers=headers, # 保存图片
+    r = requests.post(url=url, headers=headers, data=json.dumps(data))# 保存图片
     mask =cv2.cvtColor(base64_to_cv2(r.json()["results"][0]['data']), cv2.COLOR_BGR2GRAY)
     rgba = np.concatenate((org_im, np.expand_dims(mask, axis=2)), axis=2)
     cv2.imwrite("segment_human_server.png", rgba)

modules/image/semantic_segmentation/deeplabv3p_xception65_humanseg/README_en.md

@@ -147,11 +147,12 @@
         data = cv2.imdecode(data, cv2.IMREAD_COLOR)
         return data
 
+    org_im = cv2.imread("/PATH/TO/IMAGE")
     # Send an HTTP request
-      data = {'images':[cv2_to_base64(cv2.imread("/PATH/TO/IMAGE"))]}
+    data = {'images':[cv2_to_base64(org_im)]}
     headers = {"Content-type": "application/json"}
     url = "http://127.0.0.1:8866/predict/deeplabv3p_xception65_humanseg"
-      r = requests.post(url=url, headers=headers,
+    r = requests.post(url=url, headers=headers, data=json.dumps(data))
     mask =cv2.cvtColor(base64_to_cv2(r.json()["results"][0]['data']), cv2.COLOR_BGR2GRAY)
     rgba = np.concatenate((org_im, np.expand_dims(mask, axis=2)), axis=2)
     cv2.imwrite("segment_human_server.png", rgba)