fix doc link

Author: RunningLeon

.github/md-link-config.json

@@ -3,6 +3,12 @@
     {
       "pattern": "^https://developer.nvidia.com//"
     },
+    {
+      "pattern": "^https://developer.android.com/"
+    },
+    {
+      "pattern": "^https://developer.qualcomm.com/"
+    },
     {
       "pattern": "^http://localhost"
     }

docs/en/01-how-to-build/jetsons.md

@@ -289,7 +289,7 @@ pip install -r requirements/build.txt
 pip install -v -e .  # or "python setup.py develop"
 ```
 
-1. Follow [this document](../02-how-to-run/convert_model.md) on how to convert model files.
+2. Follow [this document](docs/en/02-how-to-run/convert_model.md) on how to convert model files.
 
 For this example, we have used [retinanet_r18_fpn_1x_coco.py](https://github.com/open-mmlab/mmdetection/blob/3.x/configs/retinanet/retinanet_r18_fpn_1x_coco.py) as the model config, and [this file](https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r18_fpn_1x_coco/retinanet_r18_fpn_1x_coco_20220407_171055-614fd399.pth) as the corresponding checkpoint file. Also for deploy config, we have used [detection_tensorrt_dynamic-320x320-1344x1344.py](https://github.com/open-mmlab/mmdeploy/blob/master/configs/mmdet/detection/detection_tensorrt_dynamic-320x320-1344x1344.py)
 

docs/en/05-supported-backends/onnxruntime.md

@@ -63,4 +63,4 @@ Take custom operator `roi_align` for example.
 ## References
 
 - [How to export Pytorch model with custom op to ONNX and run it in ONNX Runtime](https://github.com/onnx/tutorials/blob/master/PyTorchCustomOperator/README.md)
-- [How to add a custom operator/kernel in ONNX Runtime](https://github.com/microsoft/onnxruntime/blob/master/docs/AddingCustomOp.md)
+- [How to add a custom operator/kernel in ONNX Runtime](https://onnxruntime.ai/docs/reference/operators/add-custom-op.html)

docs/zh_cn/05-supported-backends/onnxruntime.md

@@ -63,4 +63,4 @@ Take custom operator `roi_align` for example.
 ## References
 
 - [How to export Pytorch model with custom op to ONNX and run it in ONNX Runtime](https://github.com/onnx/tutorials/blob/master/PyTorchCustomOperator/README.md)
-- [How to add a custom operator/kernel in ONNX Runtime](https://github.com/microsoft/onnxruntime/blob/master/docs/AddingCustomOp.md)
+- [How to add a custom operator/kernel in ONNX Runtime](https://onnxruntime.ai/docs/reference/operators/add-custom-op.html)

docs/zh_cn/05-supported-backends/openvino.md

@@ -17,7 +17,7 @@ pip install openvino-dev
 
 3. Install MMDeploy following the [instructions](../01-how-to-build/build_from_source.md).
 
-To work with models from [MMDetection](https://github.com/open-mmlab/mmdetection/blob/master/docs/get_started.md), you may need to install it additionally.
+To work with models from [MMDetection](https://github.com/open-mmlab/mmdetection/blob/3.x/docs/en/get_started.md), you may need to install it additionally.
 
 ## Usage