reset jump

backend_refactor/service/ai/video/inner_analyze.py

@@ -56,9 +56,9 @@ def cal_angle(point_a, point_b, point_c):
 def analyse_npy_side_juanfu(data):
     result = {}
 
-    if len(data) == 0:
-        #     logging.warning("Data len is not 25, skipping.")
-        return False
+    # if len(data) == 0:
+    #     #     logging.warning("Data len is not 25, skipping.")
+    #     return False
     data = data[0]
 
     nose_x = data[0][0]
@@ -136,9 +136,9 @@ def analyse_npy_side_gaotaitui(data):
 def analyse_npy_side_shendun(data):
     result = {}
 
-    if len(data) == 0:
-        #     logging.warning("Data len is not 25, skipping.")
-        return False
+    # if len(data) == 0:
+    #     #     logging.warning("Data len is not 25, skipping.")
+    #     return False
     data = data[0]
 
     hip_r_x = data[9][0]
@@ -180,9 +180,9 @@ def analyse_npy_side_shendun(data):
 
 def analyse_npy_side_jump(data):
     result = {}
-    if len(data) == 0:
-        # logging.warning("Data len is not 25, skipping.")
-        return result
+    # if len(data) == 0:
+    #     # logging.warning("Data len is not 25, skipping.")
+    #     return result
 
     data = data[0]
 

backend_refactor/service/video_analyzer.py

@@ -124,7 +124,7 @@ class JumpVideoAnalyzer(BaseVideoAnalyzer):
 class PingbanVideoAnalyzer(BaseVideoAnalyzer):
     def _do_analyze(self):
         self.results = {k: analyse_npy_side_jump(v) for k, v in self.results.items()}
-        self.results = {k: v for k, v in self.results.items() if v != {}}
+        # self.results = {k: v for k, v in self.results.items() if v != {}}
         raw = cal_pingban(self.results)[1]
         return classify_pingban(raw)