fix

.github/workflows/build.yml

@@ -42,7 +42,7 @@ jobs:
           python -m pip install openmim
           python -m pip install -r requirements.txt
           python -m pip install -r requirements/backends.txt
-          python -m mim install "mmcv>=2.0.0"
+          python -m mim install "mmcv>=2.0.1"
           python -m mim install -r requirements/codebases.txt
           python -m pip install clip numba transformers numpy==1.23 albumentations
           python -m pip list
@@ -178,7 +178,7 @@ jobs:
           python -m pip install --no-cache-dir openmim
           python -m pip install --no-cache-dir -r requirements.txt
           python -m pip install --no-cache-dir -r requirements/backends.txt
-          python -m mim install "mmcv>=2.0.0"
+          python -m mim install "mmcv>=2.0.1"
           python -m pip install --no-cache-dir -r requirements/codebases.txt
           python -m pip install --no-cache-dir -U pycuda numpy==1.23 clip numba transformers albumentations
           python -m pip list
@@ -243,7 +243,7 @@ jobs:
           python -m pip install --no-cache-dir openmim
           python -m pip install --no-cache-dir -r requirements.txt
           python -m pip install --no-cache-dir -r requirements/backends.txt
-          python -m mim install --no-cache-dir "mmcv>=2.0.0"
+          python -m mim install --no-cache-dir "mmcv>=2.0.1"
           python -m pip install --no-cache-dir -r requirements/codebases.txt
           python -m pip install --no-cache-dir -U pycuda numpy clip numba transformers albumentations
           python -m pip list

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

@@ -20,7 +20,7 @@ It is recommended to create a virtual environment for the project.
    git clone [email protected]:rockchip-linux/rknn-toolkit2.git
    ```
 
-2. Install RKNN python package following [rknn-toolkit2 doc](https://github.com/rockchip-linux/rknn-toolkit2/tree/master/doc) or [rknn-toolkit doc](https://github.com/rockchip-linux/rknn-toolkit/tree/master/doc). When installing rknn python package, it is better to append `--no-deps` after the commands to avoid dependency conflicts. RKNN-Toolkit2 package for example:
+2. Install RKNN python package following [rknn-toolkit2 doc](https://github.com/rockchip-linux/rknn-toolkit2/tree/master/doc) or [rknn-toolkit doc](https://github.com/rockchip-linux/rknn-toolkit/tree/master/docs). When installing rknn python package, it is better to append `--no-deps` after the commands to avoid dependency conflicts. RKNN-Toolkit2 package for example:
 
    ```
    pip install packages/rknn_toolkit2-1.4.0_22dcfef4-cp36-cp36m-linux_x86_64.whl --no-deps

docs/zh_cn/01-how-to-build/rockchip.md

@@ -53,7 +53,7 @@ MMDeploy 支持把模型部署到瑞芯微设备上。已支持的芯片：RV112
       <tr>
         <td>RK3566 / RK3568 / RK3588 / RV1103 / RV1106</td>
         <td><code>git clone https://github.com/rockchip-linux/rknn-toolkit2</code></td>
-        <td><a href="https://github.com/rockchip-linux/rknn-toolkit/tree/master/doc">安装指南</a></td>
+        <td><a href="https://github.com/rockchip-linux/rknn-toolkit/tree/master/docs">安装指南</a></td>
       </tr>
     </tbody>
     </table>

mmdeploy/mmcv/ops/nms.py

@@ -368,6 +368,8 @@ def _multiclass_nms_single(boxes: Tensor,
         bbox_index = box_inds.unsqueeze(0)
         if pre_top_k > 0:
             bbox_index = pre_topk_inds[None, box_inds]
+        # pad index to keep same dim as dets and labels
+        bbox_index = torch.cat([bbox_index, -bbox_index.new_ones((1, 1))], 1)
         if keep_top_k > 0:
             bbox_index = bbox_index[:, topk_inds]
         return dets, labels, bbox_index

requirements/codebases.txt

@@ -1,8 +1,8 @@
 mmagic==1.0.0
 mmdet==3.0.0
-mmdet3d==1.1.0rc2
+mmdet3d==1.1.0
 mmocr==1.0.0
 mmpose==1.0.0
-mmpretrain==1.0.0rc7
-mmrotate==1.0.0rc0
+mmpretrain==1.0.0
+mmrotate==1.0.0rc1
 mmsegmentation==1.0.0