fix 3d detection model links

Signed-off-by: Yuxuan Liu <[email protected]>

readme.md

@@ -17,13 +17,14 @@ In this repo, we fully re-structure the code and messages formats for ROS2 (humb
 
 - Currently all pretrained models are trained using the [visionfactory](https://github.com/Owen-Liuyuxuan/visionfactory) repo. Thus focusing on out-door autonomous driving scenarios. But it is ok to plugin ONNX models that satisfiy the [interface](#onnx-model-interface). Published models description:
 
-| Model | Type | Link | Description |
-| ------------------------------ | ---------------- | --------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------- |
-| monodepth_res101_384_1280.onnx | MonoDepth | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.0/monodepth_res101_384_1280.onnx) | FSNet, res101 backbone, model input shape (384x1280) trained on KITTI/KITTI360/nuscenes |
-| metric_3d .onnx | MonoDepth | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.1/metric_3d.onnx) | Metric3Dv2, ViT backbone, supervised depth contains full pipeline from depth image to point cloud. |
-| bisenetv1.onnx | Segmentation | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.0/bisenetv1.onnx) | BiSeNetV1, model input shape (512x768) trained on remapped KITTI360/ApolloScene/CityScapes/BDD100k/a2d2 |
-| mono3d_yolox_576_768.onnx | Mono3D Detection | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.0/mono3d_yolox_576_768.onnx) | YoloX-m MonoFlex, model input (576x768) trained on KITTI/nuscenes/ONCE/bdd100k/cityscapes |
-| dla34_deform_576_768.onnx | Mono3D Detection | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.0.1/dla34_deform_576_768.onnx) | DLA34 Deformable Upsample MonoFlex, model input (576x768) trained on KITTI/nuscenes/ONCE/bdd100k/cityscapes |
+| Model | Type | Link | Description |
+| ------------------------------ | ---------------- | --------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------ |
+| monodepth_res101_384_1280.onnx | MonoDepth | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.0/monodepth_res101_384_1280.onnx) | FSNet, res101 backbone, model input shape (384x1280) trained on KITTI/KITTI360/nuscenes |
+| metric_3d .onnx | MonoDepth | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.1/metric_3d.onnx) | Metric3Dv2, ViT backbone, supervised depth contains full pipeline from depth image to point cloud. |
+| bisenetv1.onnx | Segmentation | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.0/bisenetv1.onnx) | BiSeNetV1, model input shape (512x768) trained on remapped KITTI360/ApolloScene/CityScapes/BDD100k/a2d2 |
+| mono3d_yolox_576_768.onnx | Mono3D Detection | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.0/mono3d_yolox_576_768.onnx) | YoloX-m MonoFlex, model input (576x768) trained on KITTI/nuscenes/ONCE/bdd100k/cityscapes |
+| dla34_deform_576_768.onnx | Mono3D Detection | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.1.1/dla34_deform_576_768.onnx) | DLA34 Deformable Upsample MonoFlex, model input (576x768) trained on KITTI/nuscenes/ONCE/bdd100k/cityscapes |
+| dla34_deform_384_1280.onnx | Mono3D Detection | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.1.1/dla34_deform_384_1280.onnx) | DLA34 Deformable Upsample MonoFlex, model input (384x1280) trained on KITTI/nuscenes/ONCE/bdd100k/cityscapes |
 
 
 ## Getting Started