fix docs of get_started.md

demo/featmap_vis_demo.py

@@ -190,6 +190,8 @@ def main(args):
             visualizer.show(shown_imgs)
 
 
+# Please refer to the usage tutorial:
+# https://github.com/open-mmlab/mmyolo/blob/main/docs/zh_cn/user_guides/visualization.md # noqa
 if __name__ == '__main__':
     args = parse_args()
     main(args)

docs/en/get_started.md

@@ -74,7 +74,7 @@ To verify whether MMYOLO is installed correctly, we provide some sample codes to
 **Step 1.** We need to download config and checkpoint files.
 
 ```shell
-mim download mmyolo --config configs/yolov5/yolov5_s-v61_syncbn_8xb16-300e_coco --dest .
+mim download mmyolo --config yolov5_s-v61_syncbn_fast_8xb16-300e_coco --dest .
 ```
 
 The downloading will take several seconds or more, depending on your network environment. When it is done, you will find two files `yolov5_s-v61_syncbn_8xb16-300e_coco.py` and `yolov5_s-v61_syncbn_fast_8xb16-300e_coco_20220918_084700-86e02187.pth` in your current folder.

docs/zh_cn/get_started.md

@@ -73,7 +73,7 @@ mim install "mmyolo"
 **步骤 1.** 我们需要下载配置文件和模型权重文件。
 
 ```shell
-mim download mmyolo --config configs/yolov5/yolov5_s-v61_syncbn_fast_8xb16-300e_coco --dest .
+mim download mmyolo --config yolov5_s-v61_syncbn_fast_8xb16-300e_coco --dest .
 ```
 
 载将需要几秒钟或更长时间，这取决于你的网络环境。完成后，你会在当前文件夹中发现两个文件 `yolov5_s-v61_syncbn_fast_8xb16-300e_coco.py` and `yolov5_s-v61_syncbn_fast_8xb16-300e_coco_20220918_084700-86e02187.pth`