video detect: time and path

opencv-yolo/web/web.py

@@ -148,6 +148,7 @@ def video_analysis(data):
   ret = {'code': 0, 'msg': 'ok'}
   ret['target'] = data
   print(json.dumps(data))
+  imageName = None
   try:
     if 'cameraId' in data: # azure storage
       # get azure storage video
@@ -177,6 +178,7 @@ def video_analysis(data):
         if m:
           ret['data']['humanDetect']['found'] = 1
           ret['data']['humanDetect']['level'] = m.group(2)
+          imageName = m.group(3)
           ret['data']['humanDetect']['image'] = ipcSN + '/' + dirName + '/' + m.group(3)
           ret['data']['humanDetect']['time'] = int(m.group(4))
           print('found {}: {}, img: {}, elapse: {}'.format(m.group(1), m.group(2), m.group(3), m.group(4)))
@@ -202,7 +204,7 @@ def video_analysis(data):
   # upload
   uploadFile(ipcSN, dirName, 'result.json', downloadDir)
   if ret['data']['humanDetect']['found'] != 0:
-    uploadFile(ipcSN, dirName,  ret['data']['humanDetect']['image'], downloadDir)
+    uploadFile(ipcSN, dirName, imageName, downloadDir)
   # pub msg
   mc = mqtt.Client("vamqtt-pub")
   mc.connect(MQTT_HOST, MQTT_PORT)