Fix dead links in external models

examples/vision/detection/yolov5lite/README.md

@@ -56,7 +56,7 @@
 |:---------------------------------------------------------------- |:----- |:----- |
 | [YOLOv5Lite-e](https://bj.bcebos.com/paddlehub/fastdeploy/v5Lite-e-sim-320.onnx) | 3.1MB | 35.1% |
 | [YOLOv5Lite-s](https://bj.bcebos.com/paddlehub/fastdeploy/v5Lite-s-sim-416.onnx) | 6.3MB | 42.0% |
-| [YOLOv5Lite-c](https://bj.bcebos.com/paddlehub/fastdeploy/v5Lite-c-sim-512.onnxx) | 18MB | 50.9% |
+| [YOLOv5Lite-c](https://bj.bcebos.com/paddlehub/fastdeploy/v5Lite-c-sim-512.onnx) | 18MB | 50.9% |
 | [YOLOv5Lite-g](https://bj.bcebos.com/paddlehub/fastdeploy/v5Lite-g-sim-640.onnx) | 21MB | 57.6% |
 
 

examples/vision/detection/yolox/README.md

@@ -15,7 +15,7 @@
 |:---------------------------------------------------------------- |:----- |:----- |
 | [YOLOX-s](https://bj.bcebos.com/paddlehub/fastdeploy/yolox_s.onnx) | 35MB | 39.6% |
 | [YOLOX-m](https://bj.bcebos.com/paddlehub/fastdeploy/yolox_m.onnx) | 97MB | 46.4.5% |
-| [YOLOX-l](https://bj.bcebos.com/paddlehub/fastdeploy/yolox_tiny.onnx) | 207MB | 50.0% |
+| [YOLOX-l](https://bj.bcebos.com/paddlehub/fastdeploy/yolox_l.onnx) | 207MB | 50.0% |
 | [YOLOX-x](https://bj.bcebos.com/paddlehub/fastdeploy/yolox_x.onnx) | 378MB | 51.2% |
 
 

examples/vision/facedet/scrfd/README.md

@@ -50,14 +50,12 @@
 | [SCRFD-2.5G-320](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_2.5g_shape320x320.onnx) | 2.6MB | - |
 | [SCRFD-2.5G-kps-640](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_2.5g_bnkps_shape640x640.onnx) | 3.2MB | 93.8% |
 | [SCRFD-2.5G-640](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_2.5g_shape640x640.onnx) | 2.6MB | 93.78% |
-| [SCRFD-10G-kps-160](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_10g_bnkps_shape160x160.onnx) | 17MB | - |
-| [SCRFD-10G-160](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_10g_shape160x160.onnx) | 15MB | - |
 | [SCRFD-10G-kps-320](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_10g_bnkps_shape320x320.onnx) | 17MB | - |
 | [SCRFD-10G-320](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_10g_shape320x320.onnx) | 15MB | - |
 | [SCRFD-10G-kps-640](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_10g_bnkps_shape640x640.onnx) | 17MB | 95.4% |
 | [SCRFD-10G-640](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_10g_shape640x640.onnx) | 15MB | 95.16% |
-
-
+| [SCRFD-10G-kps-1280](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_10g_bnkps_shape1280x1280.onnx) | 17MB | - |
+| [SCRFD-10G-1280](https://bj.bcebos.com/paddlehub/fastdeploy/scrfd_10g_shape1280x1280.onnx) | 15MB | - |
 
 ## 详细部署文档
 

examples/vision/matting/modnet/README.md

@@ -21,7 +21,7 @@
 为了方便开发者的测试，下面提供了MODNet导出的各系列模型，开发者可直接下载使用。（下表中模型的精度来源于源官方库）
 | 模型                                                               | 大小    | 精度    |
 |:---------------------------------------------------------------- |:----- |:----- |
-| [modnet_photographic](https://bj.bcebos.com/paddlehub/fastdeploy/modnet_photographic__portrait_matting.onnx) | 25MB | - |
+| [modnet_photographic](https://bj.bcebos.com/paddlehub/fastdeploy/modnet_photographic_portrait_matting.onnx) | 25MB | - |
 | [modnet_webcam](https://bj.bcebos.com/paddlehub/fastdeploy/modnet_webcam_portrait_matting.onnx) | 25MB | -|
 | [modnet_photographic_256](https://bj.bcebos.com/paddlehub/fastdeploy/modnet_photographic_portrait_matting-256x256.onnx) | 25MB | - |
 | [modnet_webcam_256](https://bj.bcebos.com/paddlehub/fastdeploy/modnet_webcam_portrait_matting-256x256.onnx) | 25MB | - |