video detect: time and path

opencv-yolo/web/test.py

@@ -9,8 +9,8 @@ print(json.dumps( {
     "video": "http://evcloudsvc.ilabservice.cloud/video/D72154040/1550143347000-1577267418999/1550143347000-1577267418999.mp4"
   }))
 
-
-m = re.match(r".*? found (\w+) ([\d\.]+) .*? image: .*?/([_\w\d]+.jpg)", "ObjectDetector found human 0.857669 x: 655, y: 379, w: 300, h: 309; written image: /Users/blu/work/opencv-projects/opencv-yolo/D72154040/1550143347000-Rhwjpb/detect_person_1577774106607.jpg")
+rawStr = "edet found human 0.838 x: 645, y: 353, w: 278, h: 348; written image: /apps/app/D72154040/1550143347000-wzGsNR//detect_1580371688.jpg; time: 3"
+m = re.match(r".*? found (\w+) ([\d\.]+) .*? image: .*?/([_\w\d]+.jpg).*?time: ([\d\.]+)", rawStr)
 
 if m:
   print("matched", m.group(1))

opencv-yolo/web/web.py

@@ -173,7 +173,7 @@ def video_analysis(data):
       # parse
       for line in output.decode('utf-8').split('\n'):
         print("\n", line)
-        m = re.match(r".*? found (\w+) ([\d\.]+) .*? image: .*?/([_\w\d]+.jpg) .*?time: ([\d\.]+)", line)
+        m = re.match(r".*? found (\w+) ([\d\.]+) .*? image: .*?/([_\w\d]+.jpg).*?time: ([\d\.]+)", line)
         if m:
           ret['data']['humanDetect']['found'] = 1
           ret['data']['humanDetect']['level'] = m.group(2)