update README

README.md

@@ -239,7 +239,7 @@ python demo.py --mode image \
                --path_to_img data/demo/images/ \
                --cuda \
                --img_size 640 \
-               -m yolov1 \
+               -m yolov2 \
                --weight path/to/weight \
                --show
 ```
@@ -248,10 +248,10 @@ If you want run a demo of streaming video detection, you need to set `--mode` to
 
 ```Shell
 python demo.py --mode video \
-               --path_to_img data/demo/videos/your_video \
+               --path_to_vid data/demo/videos/your_video \
                --cuda \
                --img_size 640 \
-               -m yolov1 \
+               -m yolov2 \
                --weight path/to/weight \
                --show \
                --gif
@@ -263,12 +263,32 @@ If you want run video detection with your camera, you need to set `--mode` to `c
 python demo.py --mode camera \
                --cuda \
                --img_size 640 \
-               -m yolov1 \
+               -m yolov2 \
                --weight path/to/weight \
                --show \
                --gif
 ```
 
+### Detection visualization
+* Detector: YOLOv2
+
+Command：
+
+```Shell
+python demo.py --mode video \
+                --path_to_vid ./dataset/demo/videos/000006.mp4 \
+               --cuda \
+               --img_size 640 \
+               -m yolov2 \
+               --weight path/to/weight \
+               --show \
+               --gif
+```
+
+Results:
+
+![image](./img_files/video_detection_demo.gif)
+
 ## Tracking
 Our project also supports **multi-object tracking** tasks. We use the YOLO of this project as the detector, following the "tracking-by-detection" framework, and use the simple and efficient **ByteTrack** as the tracker.
 

README_CN.md

@@ -275,6 +275,26 @@ python demo.py --mode camera \
                --gif
 ```
 
+### 检测的例子
+* Detector: YOLOv2
+
+运行命令如下：
+
+```Shell
+python demo.py --mode video \
+                --path_to_vid ./dataset/demo/videos/000006.mp4 \
+               --cuda \
+               --img_size 640 \
+               -m yolov2 \
+               --weight path/to/weight \
+               --show \
+               --gif
+```
+
+结果如下：
+
+![image](./img_files/video_detection_demo.gif)
+
 
 ## 目标跟踪
 该项目也支持**多目标跟踪**任务。我们使用本项目的YOLO检测器作为“tracking-by-detection”的检测器，并使用简单高效的**ByteTrack**作为跟踪器。