video detect: time and path

opencv-yolo/web/detect_video.py

@@ -24,6 +24,7 @@ def test(opt):
         model.cuda()
 
     cap = cv2.VideoCapture(opt.input)
+    fps = cap.get(cv2.CAP_PROP_FPS)
     bDetected = False
     strDetMsg = ''
     ts = int((datetime.datetime.now() - tsEpoch).total_seconds())
@@ -90,7 +91,10 @@ def test(opt):
                 (xmin, ymin + text_size[1] + 1), font, 1,
                 (255, 255, 255), 1)
             if not bDetected:
-              strDetMsg = "edet found human {:.3f} x: {}, y: {}, w: {}, h: {}; written image: {}".format(pred_prob, int(xmin), int(ymin), int(xmax-xmin), int(ymax-ymin), fname)
+              elapse = 0
+              if fps:
+                elapse = int(frameCnt / fps)
+              strDetMsg = "edet found human {:.3f} x: {}, y: {}, w: {}, h: {}; written image: {}; time: {}".format(pred_prob, int(xmin), int(ymin), int(xmax-xmin), int(ymax-ymin), fname, elapse)
               bDetected = True
 
         if frameCnt % 1000 == 0:

opencv-yolo/web/web.py

@@ -173,12 +173,13 @@ 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)", 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)
-          ret['data']['humanDetect']['image'] = m.group(3)
-          print('found {}: {}, img: {}'.format(m.group(1), m.group(2), 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)))
           break
         else:
           ret['data']['humanDetect']['found'] = 0