support draw traj in mct (#4604)

deploy/pptracking/python/mot_jde_infer.py

@@ -224,7 +224,7 @@ def predict_video(detector, camera_id):
     entrance = None
     records = None
     if FLAGS.draw_center_traj:
-        center_traj = {}
+        center_traj = [{} for i in range(num_classes)]
 
     if num_classes == 1:
         id_set = set()

deploy/pptracking/python/utils.py

@@ -129,7 +129,7 @@ def argsparser():
     parser.add_argument(
         "--secs_interval",
         type=int,
-        default=10,
+        default=2,
         help="The seconds interval to count after tracking")
     parser.add_argument(
         "--draw_center_traj",

deploy/pptracking/python/visualize.py

@@ -213,6 +213,33 @@ def plot_tracking_dict(image,
 
     radius = max(5, int(im_w / 140.))
 
+    if num_classes == 1:
+        start = records[-1].find('Total')
+        end = records[-1].find('In')
+        cv2.putText(
+            im,
+            records[-1][start:end - 2], (0, int(40 * text_scale)),
+            cv2.FONT_HERSHEY_PLAIN,
+            text_scale, (0, 0, 255),
+            thickness=2)
+
+    if num_classes == 1 and do_entrance_counting:
+        entrance_line = tuple(map(int, entrance))
+        cv2.rectangle(
+            im,
+            entrance_line[0:2],
+            entrance_line[2:4],
+            color=(0, 255, 255),
+            thickness=line_thickness)
+        # find start location for entrance counting data
+        start = records[-1].find('In')
+        cv2.putText(
+            im,
+            records[-1][start:-1], (0, int(60 * text_scale)),
+            cv2.FONT_HERSHEY_PLAIN,
+            text_scale, (0, 0, 255),
+            thickness=2)
+
     for cls_id in range(num_classes):
         tlwhs = tlwhs_dict[cls_id]
         obj_ids = obj_ids_dict[cls_id]
@@ -233,9 +260,9 @@ def plot_tracking_dict(image,
             obj_id = int(obj_ids[i])
             if center_traj is not None:
                 record_id.add(obj_id)
-                if obj_id not in center_traj:
-                    center_traj[obj_id] = deque(maxlen=30)
-                center_traj[obj_id].append(center)
+                if obj_id not in center_traj[cls_id]:
+                    center_traj[cls_id][obj_id] = deque(maxlen=30)
+                center_traj[cls_id][obj_id].append(center)
 
             id_text = '{}'.format(int(obj_id))
             if ids2names != []:
@@ -266,19 +293,11 @@ def plot_tracking_dict(image,
                     cv2.FONT_HERSHEY_PLAIN,
                     text_scale, (0, 255, 255),
                     thickness=text_thickness)
-    if num_classes == 1 and do_entrance_counting:
-        entrance_line = tuple(map(int, entrance))
-        cv2.rectangle(
-            im,
-            entrance_line[0:2],
-            entrance_line[2:4],
-            color=(0, 255, 255),
-            thickness=line_thickness)
-
         if center_traj is not None:
-        for i in center_traj.keys():
+            for traj in center_traj:
+                for i in traj.keys():
                     if i not in record_id:
                         continue
-            for point in center_traj[i]:
+                    for point in traj[i]:
                         cv2.circle(im, point, 3, (0, 0, 255), -1)
     return im