[Doc]Update keypointdetection result docs (#739)

Update keypointdetection result docs

docs/api_docs/python/vision_results_cn.md

@@ -46,10 +46,9 @@ API:`fastdeploy.vision.FaceDetectionResult` , 该结果返回:
 KeyPointDetectionResult 代码定义在`fastdeploy/vision/common/result.h`中，用于表明图像中目标行为的各个关键点坐标和置信度。
 
 API:`fastdeploy.vision.KeyPointDetectionResult` , 该结果返回:
-- **keypoints**(list of list(float)): 成员变量，表示识别到的目标行为的关键点坐标。`keypoints.size()= N * J * 2`，
+- **keypoints**(list of list(float)): 成员变量，表示识别到的目标行为的关键点坐标。`keypoints.size()= N * J`，
     - `N`：图片中的目标数量
     - `J`：num_joints（一个目标的关键点数量）
-    - `3`:坐标信息[x, y]
 - **scores**(list of float): 成员变量，表示识别到的目标行为的关键点坐标的置信度。`scores.size()= N * J`
     - `N`：图片中的目标数量
     - `J`:num_joints（一个目标的关键点数量）

docs/api_docs/python/vision_results_en.md

@@ -49,10 +49,9 @@ API: `fastdeploy.vision.FaceDetectionResult`, The FaceDetectionResult will retur
 The KeyPointDetectionResult code is defined in `fastdeploy/vision/common/result.h` and is used to indicate the coordinates and confidence of each keypoint of the target behavior in the image.
 
 API:`fastdeploy.vision.KeyPointDetectionResult`, The KeyPointDetectionResult will return:
-- **keypoints**(list of list(float)): Member variable, representing the key point coordinates of the identified target behavior. `keypoints.size()= N * J * 2`，
+- **keypoints**(list of list(float)): Member variable, representing the key point coordinates of the identified target behavior. `keypoints.size()= N * J`，
     - `N`: number of objects in the picture
     - `J`: num_joints（number of keypoints for a target）
-    - `3`: 坐标信息[x, y]
 - **scores**(list of float): Member variable, representing the confidence of the keypoint coordinates of the recognized target behavior. `scores.size()= N * J`
     - `N`: number of objects in the picture
     - `J`: num_joints（number of keypoints for a target）